Inside Case Study

Predictions 2022: 5 Potential Trends in Health Care 4.0
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Digital HealthHealthcare, Telemedicine

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What is Lorem Ipsum and why is it used?

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Lorem Ipsum, sometimes referred to as ‘lipsum’, is the placeholder text used in design when creating content. It helps designers plan out where the content will sit, without needing to wait for the content to be written and approved. .

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1. About the client

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Lorem Ipsum was originally taken from a Latin text by the Roman philosopher Cicero. But it has gone through significant changes over the centuries, with words being taken out, shortened, and added in. The word ‘lorem’, for example, isn’t a real Latin word, it’s a shortened version of the word ‘dolorem’, meaning pain.

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[custom_heading id=”” class=”” style=”margin-bottom: 0px;”]Why do we use Lorem Ipsum?[/custom_heading][text]Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.[/text]
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What We Think

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AI Driving 2022 Future Business Trends

The role of AI in work life and business is undisputed. As we move forward, this role will only expand to include more functionalities and use cases like artificial intelligence, machine learning, and data processing becomes more advanced and efficient. In the past few years alone, we’ve seen AI grow by leaps and bounds and this growth shows no signs of slowing down just yet.

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Demystifying AI for Future Leaders in Healthcare

Demystifying-AI-for-Future-Leaders-in-Healthcare
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Artificial Intelligence, Digital Health

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Demystifying Artificial Intelligence for Healthcare leaders

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Artificial Intelligence (AI), as defined by the English Oxford Living Dictionary “The theory and development of computer systems capable of doing activities that require human intellect, such as visual perception, speech recognition, decision-making, and language translation.

AI works on a set of rules underlined by algorithms without any supervision. When used for the right purpose and goals with ethics AI can deliver tremendous value. Many people fear that higher dependency on AI could result in unethical practices in the future.[/text]

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[text]Many questions and misconceptions concerning Artificial Intelligence (AI) in healthcare are still prevalent. These challenges and misconceptions are especially relevant because healthcare is the next frontier for using AI technology.

Today AI is being used to:

  • Minimize human errors
  • Automate large and complex computations to improve diagnostics and treatments
  • Automate time-consuming contract negotiations with insurance companies
  • Provide better overall outcomes and more cost-effective patient experiences.
  • Automate time-consuming processes, and elimination of menial tasks

 

Thus, Healthcare startups or established enterprises in healthcare are looking to get ahead of the curve and starting to incorporate AI in their business model. Artificial Intelligence (AI) will be at the forefront of healthcare and future leaders in healthcare will bring new business models. The adoption of AI in healthcare solutions will eliminate human error, increase patient safety, and mitigate risks while reducing administrative costs. It is therefore essential to demystify the application of AI for future leaders in the healthcare domain.[/text][clear by=”40px” id=”” class=””]

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Artificial Intelligence has become a growth engine for Healthcare Startups

[/custom_heading][text]In the quest to provide solutions to healthcare problems (prevent, cure, and treat any disease), entrepreneurs are now taking the help of Artificial Intelligence. Healthcare startups that bring Data, Analytics, and AI-powered solutions to the market are insight-driven organizations. Being an insight-driven organization helps healthcare startups develop, strengthen, increase productivity, and scale their organization by reaching the target audience.

According to the report published by Research Expert Shanhong Liu, Statista,2020, marketing and sales get more benefit from adopting artificial intelligence (AI) technologies. The McKinsey Global Survey on Artificial Intelligence also showed that organizations are using AI to generate value in terms of revenue.

Adopting Artificial Intelligence by healthcare startups in their business model leads to:

  • Increase in annual revenue
  • Reduction in operational cost
  • Gaining an advantage over competitive organizations
  • Increases the capability to bring new products through innovation
  • Monetization of Data Assets

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How can AI-enabled healthcare enterprises be the future?

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1. Understanding the development and deployment of AI-enabled solutions

[/custom_heading][text]AI can execute healthcare duties similarly or better than humans in many cases. However, implementation issues may delay the large-scale automation of AI-based services in healthcare. To become future leaders in AI-based solutions for healthcare, organizations should know about identifying the right AI tool for different challenges and opportunities. Apart from this, organizations need exemplary implementation and project management skills to manage AI projects in healthcare. In addition, the decision-making body of such organizations should be aware of the significant trends in cybersecurity, ethics, and bias in algorithms, telemedicine, and clinical decision support.

AI applications are moving into domains that were previously regarded as only the domain of human ability. This is only possible because of recent advances in digitized data collecting, machine learning, and computing infrastructure. Therefore, the application of AI is common for diagnoses and treatment recommendations, patient engagement and adherence, and repeated administrative duties.

Thus, healthcare organizations should implement AI-based solutions and involve personnel with a technical background for a smooth deployment. This will help meet the patients’ high expectations from smart hospitals regarding services and outcomes.[/text][custom_heading id=”” class=”” style=”margin-bottom: 0px;”]

2. Understanding the current scenario and predicting the future trends in the following-

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• Artificial Intelligence in Healthcare Financial Management

[/custom_heading][text]In the e-commerce and financial sector, AI has improved customer experience, supply chain management, operational efficiency, and mate size. Their main goal is to create an inexpensive model high in quality, reliability, and which has a more extensive reach. Healthcare organizations, biopharmaceutical firms, etc., also use these models to predict and learn from the data in a similar approach.

Most existing and useful AI applications in healthcare finance focus on robotic process automation (RPA). The goal is to automate time-consuming and labor-intensive tasks like combining billing data from many sources or performing monthly account reconciliations. Machine learning is another AI technology relevant to claims and payment administration. Healthcare Insurance enterprises can use AI for probabilistic data matching across different databases. AI-based solutions can reliably find, analyze, and correct coding issues and incorrect claims. This will save all the stakeholders involved, a lot of time and money.

Hospitals and other Healthcare enterprises can use Artificial intelligence in many ways. Some of them are mentioned below:

  • Data and medical records management- Data management is the most visible application of artificial intelligence in healthcare. Gathering, storing, standardizing, and tracking patient information records is the blood for any solution. It is the first stage for developing any healthcare solution. Digital healthcare can be brought to market only when data is integrated, automated, powered by AI.
  • Tasks involving repetitive work- AI can analyze tests, X-rays, CT (Computed Tomography) scans, data input, and other laboratory and diagnostic tasks faster and more accurately than humans. Especially in cardiology and radiology, the amount of data to analyze can be overwhelming. Thus, incorporating AI-based solutions will save time and improve diagnosis and treatment.
  • Customized designing of treatments- Data analysis from medical images obtained through MRIs, CT scans, ultrasounds, and x-rays, can be carried out quickly with the help of AI. This helps in rapid diagnosis and choosing suitable treatment options for every patient specifically.
  • Consultation with the help of AI In healthcare, the primary purpose of AI is to improve patient participation. Telemedicine through a smartphone can provide real-time assistance to patients, handle prescriptions, provide information on a wide range of medications, and suggest the dose range.
  • Drug designing With several breakthroughs, machine learning algorithms are now being used to decrease drug discovery times. Artificial intelligence (AI) can make parts of the drug development process faster, cheaper, and safer.
  • Diagnosing diseases- Disease diagnosis and treatment have been a focus of AI since its introduction in healthcare applications. Artificial intelligence has been proven effective in the healthcare sector in several studies, and it can effectively detect and cure disease. Cancer diagnosis, genetic disease monitoring, mental illness treatments, diabetic management, and other applications are only a few examples, from the studies.
  • Robotically assisted surgery (RAS) RAS using AI addresses the limits of prior minimally invasive surgical treatments and boosts ‘open surgery’ surgeons’ capability.
  • Patient engagement- To overcome the difficulties of patient engagement, big data and artificial intelligence are increasingly being deployed. Across the healthcare sector, machine learning and business rules engines are increasingly being employed to develop complicated interventions.

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• Artificial Intelligence and Machine Learning in Health Insurance

[/custom_heading][text]Artificial Intelligence in healthcare is not limited to hospitals and pharmaceuticals. Healthcare Insurance providing enterprises also need AI. The use of Artificial Intelligence models in Health Insurance can be of many ways, including:

  • Use of Chatbots
  • Faster Claim Settlements
  • Personalized Health Insurance Policies
  • Cost Efficiency
  • Fraud Detection
  • Choosing the right health insurance plan for customers

AI-based enterprises can develop sophisticated models for Healthcare Insurance companies to offer services for patients suffering from any chronic condition. Models like home delivery pharmacies through healthcare insurance plans are also possible. Case managers can use cognitive systems to effectively screen situations, assess the data produced by AI more precisely, and make informed judgments. For example, usage-based insurance (UBI) plans that are highly dynamic and customized to the behavior of individual clients are becoming increasingly popular.[/text][clear by=”40px” id=”” class=””]

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Conclusion

[/custom_heading][text]Studies have shown that AI can perform better and faster than humans in many crucial healthcare activities. A few ongoing studies on AI applications in healthcare paint a picture of a future where healthcare systems use is more cohesive and human-like. Algorithms are already surpassing radiologists in detecting dangerous tumors and advising researchers on building cohorts for expensive clinical trials.

Today, in this fast-changing world, AI is being used to address many of our problems. However, it is essential to know that as we study more and demystify AI, we will be able to explore several different uses of it. With such advancement in science, humans can explore uncharted territories in engineering and medical sciences, which once seemed impossible. AI for future leaders will involve discovering the phenomenal secrets of successful technology implementation in global health care. Thus, AI for future healthcare leaders will bring a new source of revenue, enhance innovations, generate a better lifestyle, and limitless possibilities for the greater benefit of society. Thus, enterprises involved in healthcare and pharmaceuticals should include AI-based business and service models and be the next leaders in the world of MedTech.[/text][clear by=”40px” id=”” class=””]

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    Healthcare Data Analytics and why it matters?

    Machine Learning
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    Data + AI + Analytics, Digital Health

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    What is Healthcare Data Analytics and why it matters?

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    What is Healthcare Data Analytics and why it matters? The healthcare sector is a unique field where each decision can change the course of many lives. In this highly stressful scenario, making the right decision is of utmost importance. Data-driven decision-making in healthcare is still in its nascent stages but shows tremendous promise for the future.

    Data analytics in healthcare is a game-changer— now healthcare providers, researchers, and others can make more accurate decisions that can improve patient outcomes and save lives. Healthcare analytics can also help reduce healthcare costs, stop the outbreak of epidemics and pandemics, improve compliance to medication, and hasten drug research. Each patient in a healthcare system generates massive amounts of data that can be collected and analyzed to optimize patient care.[/text]

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    What Is Data Analytics In Healthcare?

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    Data analytics in healthcare involves the collection and processing of data to drive healthcare insights and decisions. Major areas of interest in healthcare data analytics include medical expenses, patient behavior, pharmacology, and clinical data processing. Doctors and other healthcare providers can now gain valuable insights into their patients which improves the delivery of care. Doctors can identify problems sooner leading to faster diagnosing. Data can also drive the selection of medications and treatments to give the patient their best chance at success. Overall, data analytics in healthcare can improve operational efficiency, patient prognosis, and reduce unnecessary medical expenses.

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    What Are The Advantages Of Healthcare Data Analytics?

    [/custom_heading][text]The analytical approach to decision-making can make a positive change in the following ways:[/text][custom_heading id=”” class=”” style=”margin-bottom: 0px;”]

    1. Predictive analytics

    [/custom_heading][text]Predictive analytics utilizes large pools of data to predict outcomes. This is used to help doctors make quick decisions to enhance patient care. This is particularly useful in cases with complicated medical histories or patients with multiple health conditions.[/text][custom_heading id=”” class=”” style=”margin-bottom: 0px;”]

    2. Delivering care in high-risk situations

    [/custom_heading][text]Emergency care is fraught with difficulties and can get costly for patients, with no guarantee of a good outcome. Data analytics can help even the odds for patients by providing doctors with the necessary analysis to treat high-risk patients successfully.[/text][custom_heading id=”” class=”” style=”margin-bottom: 0px;”]

    3. Cost control

    [/custom_heading][text]Many hospitals, clinics, etc. lose revenue due to staffing errors. Data analytics can help reduce understaffing or overstaffing by using data to predict patient flow. This makes the whole process of patient care more efficient and reduces the cost for both patients and providers.[/text][custom_heading id=”” class=”” style=”margin-bottom: 0px;”]

    4. Global advancement

    [/custom_heading][text]Data analytics can help predict and control the outbreak of epidemics and pandemics. Big data can also help predict treatment outcomes, improve quality of life, and provide early risk detection and assessment. Healthcare data analytics can change the way medical care is delivered. As we live longer, the demand for good medical care is never-ending. Data analytics can ensure that medical care is less risky, more efficient, and makes a positive change for patients across the globe.

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      Will Artificial Intelligence replace physicians?

      Business Leaders In AI Adoption
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      Artificial Intelligence, Digital Health

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      Will Artifical Intelligence replace physicians and face of healtcare?

      [/custom_heading][share facebook=”true” twitter=”true” linkedin=”true” email=”true” size=”small” id=”” class=”” style=”margin-top: 10px;”][clear by=”15px” id=”” class=””][text]Imagine yourself walking into the hospital with a humanoid robot greeting you with a calming voice, asks you about your symptoms, and reassures you while giving you a prescription with a smile. While this may sound like complete science fiction, the question remains, “Will Artificial Intelligence replace your doctor in the future?” While we realize the advancement in technology especially in the field of neural networks has been remarkable, AI is enabling physicians with tools and decision-making power but not replacing them, at least not anytime soon.[/text]

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      [text]Here is our CEO, Deepak Mittal’s opinion about AI replacing physicians: Click Here[/text]
      [text]The same opinion other leaders have expressed in a poll conducted by NGI. Results were quite clear, 63% of the respondents believe that AI won’t replace physicians:[/text][text]Artificial Intelligence (AI) acts as an enabler to medical care. AI/ML shines the most when it is assisting physicians in making better medical decisions. More than accuracy, we as humans need human empathy from a physician along with effective treatment.[/text][text]Al/ML is bringing the power of object identification, classification along with question/answering, but a physician’s power lies in linking various pieces of information to make decision. Diagnosing a condition is an np-complete problem (specifically set cover: http://en.wikipedia.org/wiki/Set_cover_problem) and even with quantum computers, np-complete problems cannot be solved in polynomial time. The point can be well proven by the experiment of Waldo.[/text]
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      Waldo experiment:

      [/custom_heading][text]Waldo wears a stocking cap, even in the summer, is skinny, usually wears a striped shirt, needs a haircut, and always hangs out with lots of other characters. Can you find him in the image? And if you did, how long did it take?

      The viral video where a robot built with Google AI finds Waldo from a cluster of images within seconds which a human eye would normally take minutes. But if we change the question to who all needs a haircut in the picture then will the computer do that. That’s where in our opinion, a physician’s power lies. Or better question will be which haircut will look best on which person based on his liking/ethnicity etc. Please note that we are only highlighting two of the thousand parameters that might be going in a physician’s mind. Unfortunately, not all decisions are black and white in our human world.

      Even if we consider fully automated surgeries, we have history books to offer wisdom. The advent and progress in AI has been remarkable, and we have had our fair share of lessons from shortcomings and mistakes like Therac-25 in the past, where admittedly so we’ve realized there is a long, long way to go before AI can even dream of replacing surgeon.

      I would also like to point to the problem with malpractice insurance and FDA approval.  Think of a hospital having 1000 physicians and malpractice points to one physician vs malpractice. Pointing to AI that does the work of 1000 physicians. Imagine a situation where If we may run out of physicians overnight because of one blunder or mistake.

      In nutshell, we believe that it is unlikely we’ll get humanoid “robot physicians” for a long time to come. Though technology will replace some of the more routine aspects of medical care, or improve it but for now. The physicians are here to stay.[/text][clear by=”40px” id=”” class=””]

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        The Future of Digital Health Technology: Personalization is the Key

        Future of Digital Health
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        Digital Health, Digital Transformation

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        The Future of Digital Health Technology: Personalization is the Key

        [/custom_heading][share facebook=”true” twitter=”true” linkedin=”true” email=”true” size=”small” id=”” class=”” style=”margin-top: 10px;”][clear by=”15px” id=”” class=””][text]Over the past decade, the healthcare industry has seen tremendous developments and innovations, and without a doubt, we have only scratched the surface. The inner workings of the healthcare industry are being improved and, by extension, transformed with the implementation of new innovations such as artificial intelligence and other digital health tools.

        For long, health care systems have been provider-centric, meaning that patients visited healthcare providers based on the provider’s schedule as opposed to the patient’s convenience. The new transformations, however, are leading the way into creating a healthcare domain that is more patient-centric and personalized.[/text]

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        What is Digital Healthcare and How it is Helping?

        [/custom_heading][text]Digital health has become an increasingly adapted technology and is functioning as a core component of personalization. It incorporates digital transformation into the healthcare sector by integrating software, hardware, and services. Components such as telehealth & telemedicine, AI-empowered medical devices, electronic health records, mobile health apps, and wearables are a few of the examples of digital transformation in healthcare. Such components are entirely reforming the way one interacts with health professionals. The abundance of data that is collected is shared among the providers to help make accurate decisions about treatment plans.

        The main characteristic of personalized health care is providing the patient with choices and options that address a person’s unique needs and life situations. This ensures that care is offered anytime, anywhere. In such a system, care providers communicate with patients to acquire their definition of health goals and preferences. This helps the care providers make informed health decisions, while also keeping in mind the patient’s wishes and goals. With that goal in mind, healthcare tools primarily manage health conditions and track progress digitally. They also accommodate virtual visits with a doctor or any such caregivers to further support the patients to actively manage their health.

        Mostly, the healthcare sector is divided into two parts, one is the emergency services and the other one is the chronic disease segment. Between the two sectors, chronic disease is responsible for a huge part of the total healthcare costs of individuals. Diseases such as diabetes, hypertension, or heart disease, require somewhat tailored care delivery to one’s personal health goals. To start with, chronic disease symptoms mostly are unique to every person and usually become a part of the patient’s life that requires regular monitoring and treatment.[/text][image lightbox=”” width=”2″ is_gallert_item=”” src=”14605″ alt=”Digital Healthcare” href=”” title=”” popup_content=”” id=”” class=”” style=”padding: 0px 80px 0px 80px;”][text]The entirety of 2020 and 2021 made the world stop and think about the ways of conventional living. When the whole world was restricted from leaving their homes, everyone decided to bring everything home. In 2020, people became accustomed to smart homes, online groceries, and work-from-home set-ups. But unfortunately, the healthcare industries were still lagging when it came to implementing digital strategies. During Covid-times, digital health became a sensation very fast. With the click of a button, one can make informed decisions about their health, track their health progress and connect to provider teams.[/text][clear by=”35px” id=”” class=””]

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        Let’s enlist the factors that make healthcare personalization a hit in the masses.

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        • Healthcare does not fall under one-size-fits-all. As discussed, the same disease can manifest itself very differently between two different people. Therefore, different patients might need different approaches to treatment for the same condition, in order to create their healthiest outcome. When a patient visits a doctor in the office, storing patient history becomes an elaborate exercise. A telehealth tool not only makes the visit easier but also helps collect and store much more data thereby making the data accessible in an instant for further decision making.
        • Have you wondered how Netflix comes up with suggested content that is tailored to your interests? Or Amazon exactly knows your preference in books. Well, by now, most of us are very familiar with the concept of Machine Learning that decodes the “behavioral phenotype”. Implementing this concept in healthcare can help determine how to tailor the data or information for a better-personalized experience. This is just one example of using data for making digital health solutions more personalized and effective. As more devices like wearables are becoming mainstream, the data will become more and more available and accessible. This data can then be used by providers through AI and Machine Learning to analyze and draw a better picture of each patient.

         

        Now that we know personalized technology is all about a vast amount of data and its analysis, we can say that it has the power to revolutionize healthcare both for common as well as rare conditions. Similar to Big Data, where there is a data dump in an open platform for everyone to access, in the healthcare domain, the technology collects patient data from around the world. From the abundance of data, healthcare providers can have all the resources available. Consider the situation where a person with an incredibly rare condition is located in the US, and the care provider is clueless about the symptoms while a person with the same rare condition is located in Norway but receiving treatment. With a vast number of resources, the care provider can access their treatment data to decide the best course of action.

        The future of data analysis is mostly about risk or threat analysis. To look for ways to prevent loss rather than recover from it. The Healthcare domain is no exception, it is more about preventing disease than treating it. Healthcare providers are focussing more on preventative measures instead of preparing to perform risky or emergency procedures. Personalized healthcare is understanding each patient and their risk factors.[/text][clear by=”35px” id=”” class=””]

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        Conclusion

        [/custom_heading][text]For an industry like healthcare which is predominantly based on a myriad of data, the best and the most problematic part is humans. On one hand, it is often too difficult for humans to stay updated on data and treatment options. On the other hand, caregiving always needs the human touch to comfort an ailing patient. The future of healthcare personalization will eventually automate everything from data entry to medicine distribution to diagnosis and scientific analysis. This will provide the caregivers with everything they need to curate the best-personalized care. Not only that but, while machines take up all the redundant tasks, providers can also focus more on delivering quality care to each patient. Additionally, the machine is precise and beyond human errors, therefore reducing diagnostic errors and providing accurate outcomes.

        In summary, the future of digital healthcare is “personalization and efficiency” and it has already started. With strong and deep-rooted data at their disposal, health care providers will be able to treat patients for the best of outcomes and share their findings more readily and with greater ease. With the combination of digital transformations and the concept of personalization, healthcare will provide the best of both worlds, human touch, and technology.[/text]

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          Digital Health to tackle diseases

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          Digital Health, Telemedicine

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          Digital Health is here to tackle wellness and diseases

          [/custom_heading][share facebook=”true” twitter=”true” linkedin=”true” email=”true” size=”small” id=”” class=”” style=”margin-top: 10px;”][clear by=”15px” id=”” class=””][text]Digital Health is defined by The Healthcare Information and Management Systems Society (HIMSS) as the bridge that transforms healthcare by connecting and empowering people to manage health and wellness, augmented by accessible and supportive provider teams working within flexible, integrated, interoperable, and digitally enabled care environments that strategically leverage digital tools, technologies, and services.

          Digital Health comes with the objective of delivering quality healthcare better and faster by using computing platforms, connectivity, application software, and sensors. The unique selling proposition of Digital Healthcare is that it optimizes the system, streamlines the work of HCPs, improves patient outcomes, reduces human error, and reduces the cost of healthcare. [/text]

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          [text]Digital Health broadly includes mobile health (mHealth), health information technology (IT), wearable healthcare tech devices, telehealth & telemedicine, electronic communications, blockchain electronic health records, and personalized medicine.

          Nowadays, patients want to be actively involved as the “co-managers” of their health. Among several aspects related to personal health, here are the most common topics many want to know: 

          • The number of calories they burn in a day 
          • The food they should eat to get a healthy living 
          • Their blood sugar level within minutes 
          • The number of footsteps they have walked in a particular day 
          • The recommended exercises to do exercise at home 
          • The amount they spent on health and medicines, compare healthcare insurance plans, and get medication delivered at their doorstep 
          • Receive reminders SMS about their medicine schedule or appointment with the doctor 
          • Laboratory tests at home and reports of the test within 12 hours on their phone 
          • To meet doctors from the comfort of their home 

           

          As a result, Digital Health satisfies these patient requests by utilizing technology and software applications designed for use as a medical product, as companion diagnostics, or as a supplement to other medical products (devices, drugs, and biologics). [/text]

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          Advantages of Digital Health

          [/custom_heading][text]Digital Health tools have a booming potential to improve the ability to accurately diagnose and treat disease and enhance healthcare delivery for the individual. Digital Health can provide patients with the knowledge and support for almost any age or health condition. The tools used in Digital Health give a holistic view of patient health through data access thus giving patients more control over their health. For example, healthcare providers may use Digital Health to minimize inefficiencies, improve access, lower costs, improve quality, and tailor healthcare programs towards better patient outcomes. Innovations in Digital Health support healthcare professionals to become guides and advisors to patients, thereby helping patients indirectly gain more knowledge and control over their conditions safely and inclusively. Digital Health helps HCPs view and analyze real-time information of the patient’s condition, thereby providing quick, high-quality, tailored service. 

           Digital Health helps patients get medication at their doorstep from the pharmacies. With a mere scan of the prescription through a unique customer ID, patients can request medicines from the nearest pharmacy. Thus, Digital Health provides an opportunity to improve safety, quality, and efficiency in the delivery of patient care and assist hospital pharmacists prevent medication errors and improve interface management of patient care. 

           To summarize, the advantage of Digital Health includes: 

          • Digital Health integrates clinical information and knowledge management tools to deliver systematic and high-quality care. 
          • Digital Health helps deliver more proactive, coordinated & targeted care, reduce healthcare costs, and improve patient outcomes. 
          • Digital Health tools enhance patient engagement, strengthen the relationship between patient and care provider, and improve resource management. 

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          Digital Health in the Management of Chronic illnesses

          [/custom_heading][text]Diabetes is a chronic disorder and is one of the most common diseases found globally. However, delay in diagnosis and lack of proper management can lead to adverse health outcomes like cardiovascular disease, renal dysfunction, neuropathy, diabetic retinopathy, foot ulcers or infections, and even tinnitus. Innovation in Digital Health solutions have been involved in designing support tools for diabetes patients. These Digital Health or eHealth tools help diabetes patients manage their diabetes on their own and reduce the workload on Health professionals. Patients can use various digital systems, like wearables and mobile apps, to record and track their diets, medications, carbohydrate intake, physical activity, simple blood glucose, blood pressure, and weight measurements.  

          Every year, cardiovascular diseases account for the death of around 17.5 million people (about the population of New York) around the world. Innovation and effective implementation of Digital Health solutions can create possibilities towards improved management, prevention, and treatment of CVD. Numerous Mobile Apps and Wearables are available for the management of CVD as well.  

          The table below shows the healthcare mobile applications and wearable technologies as a part of Digital Health that is being used for chronic diseases. 

          Healthcare Condition  Examples of Healthcare apps available over smartphones towards the management of the disease/health condition  Examples of Wearable Technologies 
          Cancer 
          1. Oleena by Voluntis 
          2. Breast Cancer Diagnosis Guide by Braestcancer.org 
          3. Cancer Coach by Breastcancer.org, Fight Colorectal Cancer, and Genomic Health, Inc. 
          4. CaringBridge 
          5. chemoWave 
          6. Pocket Cancer Care App 
          1. Wearable Health Trackers 
          2. Wearable devices used in Oncology clinical trials. 
          Mental Health 
          1. Moodkit 
          2. Talkspace 
          3. Headspace 
          4. Better Stop Suicide 
          5. Happify 
          1. Abilify MyCite by Otsuka America Pharmaceutical and Proteus Digital Health 
          2. TouchPoints by Amy Serin.PhD 
          Excessive Alcoholism 
          1. Sober Grid 
          2. Twenty-Four Hours a Day 
          3. Sobriety Counter 
          4. Nomo 
          5. AlcoDroid Alcohol Tracker 
          6. I Am Sober 
          7. Happify 
          8. Coach.me 
          1. Wearable breathalyzer 
          2. Mobile alcohol specific and physical activity biosensors 
          3. Emotional Focused Biosensors 
          Smoking 
          1. Smoke Free 
          2. Quit Tracker 
          3. Easy Quit 
          4. Quit Genius 
          5. My Quit Buddy 
          6. Flamy 
          7. Stop Smoking 
          8. Smoking Log-StopSmoking 
          Wearable technologies for quitting smoking are still under research. Some of the examples of the devices that are available as research prototype are: 

          1. CigFree (App + Smartband) 
          2. SmokeBeat (App + smartwatch) 
          3. Smokesense Smart watch 

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          Conclusion

          [/custom_heading][text]The world has seen a tremendous rise in the demand for Digital Healthcare after COVID-19. Although people have been using smartphones for a long time, the lockdown implemented in many countries to stop COVID transmission escalated the need to access healthcare through smartphones. Starting from fixing an appointment with a doctor, followed by laboratory tests, analyzing reports & diagnoses, getting medicine at the doorstep, and follow-up visits, patients are demanding everything to be online. People want to be in touch with their healthcare providers 24/7. They want to use medical devices to guide them, to take care of their health and manage their preexisting health conditions. Digital Healthcare is a revolutionary idea, and it will change the medical science landscape to a substantial extent in a matter of a couple of years. Large-scale Digital Healthcare project plans can be created with the help of computer algorithms and data science to make the entire globe technologically advanced and healthy.[/text]

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            Unfolding Health Tech Revolution: The Next Big Thing in Indian Healthcare

            Unfolding Health Tech Revolution: The Next Big Thing in Indian Healthcare
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            Data + AI + Analytics, Digital Health, Telemedicine

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            Unfolding Health Tech Revolution: The Next Big Thing in Indian Healthcare

            [/custom_heading][share facebook=”true” twitter=”true” linkedin=”true” email=”true” size=”small” id=”” class=”” style=”margin-top: 10px;”][clear by=”15px” id=”” class=””][text]In the last few decades, the advent of technology has touched all aspects of our lives. One field that has seen major growth and transformation due to technology is the healthcare field.[/text][text]Healthcare has been the Achilles heel of India for far too long now. Despite massive planning by successive governments over the years, the healthcare field is still in a precarious situation. The COVID pandemic has fully exposed the vulnerabilities and shortcomings of the healthcare sector in India. One of the biggest challenges that remains is the extremely disproportionate doctor-patient ratio in India. So, in response, various governmental and private stakeholders have been consistently trying over the last few years to leverage the recent technological advances to ensure affordable, quality, and timely healthcare for everyone in the country.[/text]

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            How is technology changing the narrative?

            [/custom_heading][text]India is a huge and diverse country in many aspects; the most prominent aspect being the socioeconomic situation of individuals. Therefore, one can infer the difficulty faced in trying to ensure quality healthcare for everyone in a society with traditional thinking and planning. Now, advancements in Health Tech have been able to change the narrative up to a substantial extent.  

            Accessibility, affordability, and availability are the three major elements to be considered regarding the healthcare sector in India. Technology is helping to address all these parameters and plenty of innovations are underway for people-friendly solutions.  

            Artificial intelligence, data analytics and big data have been utilized and leveraged by various start-ups and government bodies to create services and products that allow healthcare to be more readily available to the masses. The COVID-19 pandemic has catalysed the adoption of these technologies much faster than we imagined and transformed the face of healthcare in India.  [/text][clear by=”35px” id=”” class=””]

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            Some real-life examples of the Health Tech revolution

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            Telemedicine or telehealth

            [/custom_heading][text]The overall doctor-patient ratio is poor in India. This is the reason most of the people living in rural India never get to consult a doctor in their lifetime. But with the massive penetration of mobile internet, now various private healthcare institutions have entered the villages and are helping them connect to specialists in the cities. Some NGOs and government authorities have also taken advantage of the telemedicine facilities to reach out to India’s poor and remote population.[/text][custom_heading id=”” class=”” style=””]

            Self-monitoring devices and services

            [/custom_heading][text]The self-monitoring device sector has seen a major upsurge in recent times. People are becoming more alert nowadays with regards to their health conditions. Moreover, people without secondary help or recuperating from various surgical and other major medical procedures can easily rely on self-monitoring devices. Such devices help them save significant money and time as they do not need to go out for basic tests. Private healthcare innovators have been able to utilize technology to fine-tune and take forward such devices, breaking away any boundary. The devices range from a simple bodyweight scale to a BP checker to an advanced massage gun to a whole-body multi-parameter fitness checker. [/text][custom_heading id=”” class=”” style=””]

            Big data and data trends

            [/custom_heading][text]COVID management and vaccination drives received a massive boost with the help of predictive data analysis techniques, data trends and big data analysis. The COVID situation would have been much worse without the help and use of these modern-day technological phenomena[/text][custom_heading id=”” class=”” style=””]

            Virtual integration of ICU units with specialist doctors

            [/custom_heading][text]In India not only is it a bit difficult to set up a fully functioning ICU unit but it is far more difficult to get ICU specialist doctors. So, when recently some healthcare innovators produced the idea of virtually integrating ICU units of faraway places with specialist doctors sitting in a different city, it was well received by everyone involved in the care delivery and receiving process. Such innovations will surely address the abysmal doctor-patient ratio in India and help people receive quality ICU treatment even in the far corners of the country. [/text][custom_heading id=”” class=”” style=””]

            Health kiosks

            [/custom_heading][text]The concept of a health kiosk is another innovative idea to bring quality healthcare to the masses. However, the penetration and implementation of such kiosks are quite low in comparison to its prospects. Such kiosks can help people test for various biochemical as well as other body parameters in the comfort of their own backyard. This significantly reduces travel time and in turn, saves their working days. Furthermore, such health kiosks help in the early diagnosis of various critical diseases.[/text][custom_heading id=”” class=”” style=””]

            The hybrid model

            [/custom_heading][text]This model is a combination of traditional practices and modern-day technological advancements. Governments, as well as various private entities, have employed village level health workers who work as foot soldiers amongst the rural population. They visit every household in their demarcated areas to educate them about various preventive health tips, check their vitals with portable devices and upload the data to the cloud storage which can later be accessed by their employers. Such practices help organizations formulate accurate healthcare solutions for a target audience as they have plenty of patient data at their disposal for a detailed pattern study. Additionally, they can easily help people in need of immediate medical attention. [/text][clear by=”35px” id=”” class=””]

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            Conclusion

            [/custom_heading][text]The Health Tech revolution is still in its nascent phase in India. We can expect some major disruptive innovations in the coming years, around Health Tech. Proper and just use of technology can surely reduce the burden on the doctors. This great unfolding Health Tech revolution will make healthcare more affordable, accessible, and available to everyone in our society.  [/text]

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              Future of Digital Healthcare: Where are we heading?

              [blog_5_secrets_of_successful_data heading=”Future of Digital Healthcare: Where are we heading?” description=”The most outstanding entrepreneur Steve Jobs once said, “We cannot connect the dots by looking forward but can connect them by looking backward.” Thus, to understand where we are heading with digital healthcare, it is essential to know what developmental changes digital health has been through to date.” image=”17634″][/blog_5_secrets_of_successful_data]

              Below is the timeline of a few important milestones in Digital Healthcare to date:

              1897-1980

              Telemedicine, which is now mainstream treatment in healthcare, dates to 1897. Adam Darkins and Margaret Cary’s book “Telemedicine and Telehealth: Principles, Policies, Performances and Pitfalls” mentions the first reported use of telemedicine on a young child with croup illness. However, the subsequent use of telemedicine for diagnosis was reported after nine decades post-1987, during the Antarctica expeditions and space missions.

              Similarly, during the mid-1960s, Lockheed developed an electronic clinical information system that laid the foundation for Electronic Health Records (EHR). By the 1980s, hospital administrative efforts were made to use EHR among medical practices.

              1990-1999

              As the world entered from the 80s to 90s, digital health met its golden period. Polygraph lie-detector test was invented in 1921. It was the first machine to include sensors that measured Galvanic Skin Response (GSR), pulse rate and blood pressure. The technology used back then is now commonly found in fitness trackers. In 1938, the first wearable hearing aid was developed. Healthcare delivery through digital communication showed potential to upgrade the relationship between patients and healthcare providers. Many professional associations appeared in the USA and across the globe. A few examples include the International Medical Informatics Association, the American Telemedicine Association, and the European Health Telematics Association.

              Significant technological advances during 1950-1999 lead to the invention of ultrasound imaging techniques, artificial organs, and DNA sequencing. These techniques laid the following founding base on using technology in medicine for patient benefit.

              2000-2015

              2003 witnessed the world’s first fully digital pacemaker where a physician can download patient information in just 18 seconds. To enhance the experience during physical exercise, Nike and iPod launched a fitness tracking wireless system in 2006. Physician Tom Ferguson invented the word “e-patient” and wrote the first white paper on the concept of e-patient in 2007. The physician created a website epatient.net and wrote blogs. The primary intention behind e-patient is to make patients aware of using the internet to socialize, stay well-informed, and take healthcare into their own hands.

              Similarly, in 2010, Health keynote speaker Engelen started the #PatientsIncludedmovement. The movement’s goal is to empower the patient to be the caretaker of their health and increase patient literacy. Delocalization of healthcare (Telemedicine) using technological developments is also the goal of #PatientsIncludedmovement.

              In 2014, the British Medical Journal created the Patient Panel to take patient and public partnership to the next level of scientific research publication. The journal realized that affordable, safe, quality, and effective healthcare could be possible if patient perspectives were also given importance. Thus, BMJ brought the following changes:

              • Calling on authors to involve them in the production of their papers
              • Requesting authors of research papers to highlight how they involved patients in designing the research question.
              • Also included papers reviewed by patients in their standard peer-review process.

              2017-2019

              In 2017, USFDA launched the Digital Health Unit to expand the opportunities for digital health tools to become part of general healthcare. The American Medical Association in 2018 published its Artificial Intelligence Policy. The goal was to get doctors involved in the development of healthcare A.I. It also stressed patient and physician education on the potentials and limitations of A.I.

              2020

              “Innovations in Digital Healthcare during COVID-19 Pandemic”

              During the COVID-19 pandemic, Telehealth saw massive growth. Online Services like COVID test from the comfort of your home, booking an appointment with a consultant physician, with pathology labs to collect blood, urine, or other samples as directed by the physician, and ordering medicine from a pharmacy shop et al. have increased dramatically. Virtual healthcare became the new norm. Artificial Intelligence-based diagnostic testing and over-the-counter tests for accurate and fast diagnosis of COVID-19 also came into the picture.

              Apart from this, here are a few innovations that we witnessed during the COVID-19 pandemic in terms of digital health:

              • Artificial Intelligence (AI) designed 3D-printed swabs
              • Ultra-wideband (UWB) technology to monitor social distancing
              • Light signal processing technology to detect COVID-19 via smartphone

              Predictions 2022: 5 Potential Trends in Health Care 4.0

              Predictions 2022: 5 Potential Trends in Health Care 4.0
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              Digital Health, Telemedicine

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              Predictions 2022: 5 Potential Trends in Health Care 4.0

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              Health Care 4.0 involves smart Healthcare delivery with the use of new-age imaging technology, intelligent sensors, medical robots, wearables, medical devices, and mobile applications combined with big data, cloud computing, Artificial Intelligence (AI), and decision support techniques. The rise in the application of Digital Healthcare during and Post COVID-19 has surged the revolution of Health Care 4.0. Here are the predictions on the five trends that we think will see innovations in 2022 and strengthen Health Care 4.0.

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              1. Artificial Intelligence in Healthcare

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              In 2022, the growth in the application of Artificial Intelligence in Healthcare will be more aggressive than in the years 2020 and 2021. For instance, we may see innovations in imaging-based diagnostics, robotic systems in surgery, robotic systems to automate hospital workflows, and symptom checker chatbots. Innovative thinking in the application of pre-existing Artificial Intelligence will lead Health Care 4.0 in the following domains:

              [/text]

              [custom_heading id=”” class=”” style=”margin-bottom: 0px;”]Smart Hospitals[/custom_heading][text]Smart hospitals focus on making extensive use of cutting-edge technologies to improve patient experience & care and reduce the cost of Health Care. Hospitals will be in demand in the upcoming years for the following reasons:

              • The government and people are paying more attention to Health Management rather than the treatment of diseases. People are more involved in using AI to check their calories, monitor stress levels, reduce hospitalization, prevent diseases, and follow other criteria of wellness & healthy living.
              • Accurate diagnosis of the disease and identifying the accurate surgery site to provide high-quality care. This reduces undesired health-related infections experienced by hospitalized patients and reduces unwanted services from the hospital end.

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              [text]The prominent market leaders in smart hospitals are Medtronic (Ireland), Philips (Netherlands), Microsoft (US), GE Healthcare (US), Qualcomm Life (US), Honeywell Life Care Solutions (US), SAP (Germany), Siemens AG (Germany), STANLEY Healthcare (US), Cerner Corporation (US) and McKesson (US).[/text]
              [custom_heading id=”” class=”” style=”margin-bottom: 0px;”]AI in COVID-19 Diagnosis[/custom_heading][text]The entire globe has witnessed the strain on doctors and pathology laboratories in carrying out multiple diagnostic tests every day to detect COVID-19. Eventually, as new variants of COVID-19 unfolded, the workload on radiologists has also increased dramatically. Identifying patterns of pneumonia caused by COVID-19 from CT (Computed Tomography) scans of thousands of patients’ data requires skilled personnel and in large numbers. Artificial Intelligence-based diagnostic testing for accurate and fast diagnosis of COVID-19 in many patients could be a solution to that problem. An example of such an innovative project in Artificial Intelligence-based diagnostic testing for COVID-19 is Imaging COVID-19. It is a multicentric European project that enhances computed tomography (CT) in diagnosing COVID-19 by using Artificial Intelligence. Continuing the case of COVID-19, innovations in AI have led to advancements in machine learning to develop vaccines. Thus, we can predict that in 2022, Health Care 4.0 will involve many more innovative AI-based diagnostic technologies and treatment options for COVID-19 and other dreadful diseases.[/text]
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              2. Telehealth 3.0

              [/custom_heading][text]Before COVID-19, Telehealth was a lesser-known word in our day-to-day Healthcare activities. During COVID-19, when many countries imposed a lockdown to control the spread of COVID-19, Telehealth entered its 2nd phase (Telehealth 2.0). Online Healthcare Services then became more common in practice.[/text]

              [text]People started to use the following virtual Healthcare services from the comfort of their homes:

              • Booking COVID diagnostic tests
              • Consulting physician by booking an appointment
              • Booking an appointment with pathology labs to collect blood, urine, or other samples as directed by the physician, and
              • Ordering medicine from the pharmacy shop without stepping outside their homes.

              Telehealth thus became mainstream, and eventually, Healthcare authorities issued multiple guidelines for good telehealth practices.

              Hospitals were also able to cater more extensive patient base and provide virtual patient management, which was a lesser-known concept before COVID-19. One can analyze the rise of telehealth from the fact that the second quarter of 2020 saw 33 million telehealth visits which were 37% of all healthcare visits. A positive experience by patients (increased satisfaction and outcomes), improved patient access by clinicians, increased efficiency, low costs and high return on investment, and flexible work-life balance during the pandemic were some of the critical drivers for the transition of Telehealth towards Telehealth 2.0.[/text][custom_heading id=”” class=”” style=”margin-bottom: 0px;”]How is Telehealth 2.0 transforming to Telehealth 3.0?[/custom_heading][text]Telehealth is witnessing its entry into the 3rd phase of Telehealth 3.0. Becker’s hospital review defines Telehealth 3.0 as “virtual Healthcare that is now shifting from pandemic-fueled expediency and sprawl to consolidation, integration and purposeful central planning.” Telehealth 3.0 is all about strategic investment and planning in most hospitals and health systems, to raise the possibility of integrating virtual Healthcare in the day-to-day life of human beings. Since people are now aware of and enjoying the services provided by Telehealth, the innovations in this sphere will be to ensure a seamless and easy-to-use experience for patients and providers. The target is to achieve greater integration and interoperability in terms of workflow and data-sharing and equipping the organizations with a scalable, sustainable enterprise-level digital infrastructure.[/text]

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              3. Smart Wearables in Healthcare

              [/custom_heading][text]

              Wearable fitness technology is not an unknown term to all of us. Fitbits and Smart watches equipped with sensors and synced to various smartphone apps have been in the mainstream of wearable technology for a long time now. Investments in smart wearables in Healthcare have led to the innovation of wearable ECG monitors, blood pressure monitors, and heart rate monitoring devices.

              [/text]

              [clear by=”20px” id=”” class=””][text]Smart wearables available in the market have many capabilities, including:

              • Monitoring ECG
              • Monitoring Heart rate
              • Monitoring Blood Oxygen Level
              • Monitoring the Quality and Quantity of Sleep
              • Tracking Hydration
              • Monitoring Pulse
              • Tracking Calorie Intake
              • Monitoring Respiratory rate

              [/text]

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              [text]The section of smartwatches and fitness trackers in Healthcare is undergoing continuous innovation by a few tech giants like Apple, Samsung, Fitbit, and Philips. In September 2018, Apple launched the ECG and irregular rhythm notification features in the Apple Watch Series. In the same year, Apple released the “CMMovementDisorderManager” to help researchers gather new insights measuring and recording tremors and dyskinetic symptoms for Parkinson’s disease.

              The smart wearables market in Healthcare is booming rapidly since people now want to take control of their health and prevent many lifestyle diseases. Thus, the future of smart wearables is not likely to slow down anytime soon.

              In October 2021, Apple launched the Series 7 of the Apple watch with Fall Detection Technology. So, what can we predict for 2022 in the niche of smart wearables that will enhance the quality of life and lead Health Care 4.0?

              We can expect innovations in smart wearables in 2022 that will

              • Develop smart hearing aids
              • Monitor blood sugar and alcohol levels
              • Supply emergency relief during seizure attacks
              • Provide support for any musculoskeletal disorder
              • Provide warning messages while entering COVID-infected areas, and many more.

              The Consumer Electronics Show held on January 05, 2022, witnessed Abbott Laboratories, as exhibitors, unveiling their new line of biometric wearables towards strengthening Virtual Health. Abbott’s new line of consumer-facing wearables has been termed “Lingo.” These wearables are equipped with sensors to track biometrics such as blood glucose levels, ketones, lactate, and even alcohol. However, Abbott has mentioned that these wearables are not for medical use, and it depends on the user on how to use the data. One can read more about Abbott’s new biometric wearables by visiting the following link.

              The Consumer Electronics Show, 2022 also witnessed significant health and Wellness Exhibitors like AT&T Business, Revival Health, Sleep Number, and Dassault Systems Americas.[/text]

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              4. Healthcare Privacy and Security

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              With the fusion of the digital era into healthcare, it’s no surprise that the challenges owing to the survival of the digital Healthcare ecosystem would be much more coherent.  Every second, with loads of data getting recorded and transmitted onto the mainframe servers, it has its own set of challenges to cope with.

              The first and the most intrinsic part is handling the privacy of the user’s information, being tracked by the smart devices. The primary objective in developing an AI-based Healthcare application is to provide the medical professionals with all the patient’s relevant clinical information. This offers better treatment and management of any patient’s medical condition without hassle. However, one should not ignore that the same technology is constantly under the radar of exploitation by hackers befitting personal interest.

              To be more precise, the term “Cyber Security” is no longer restricted to malpractices in the banking or corporate sectors but has also doomed the present era of the digital Healthcare ecosystem. One such instance to validate the fear that the user’s information would get compromised at some point in time is the “WannaCry” Ransomware attack in the year 2017. The breach collapsed a significant section of the digital Healthcare community, thereby leaving no option other than to meet the demands of the hackers to rescue the users’ information enrolled onto their systems.

              As more devices are getting integrated into the digital Healthcare ecosystem, 2022 may see a breakthrough in neutralizing the constant threat of information breaches, jeopardizing the personal interest of hackers. Improvising the AI algorithms and introducing more sophisticated, reliant Healthcare applications would be prudent to tackle the unforeseen circumstances. Safeguarding patient information will ultimately strengthen Health Care 4.0.[/text]

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              5. Data Connectivity in Healthcare

              [/custom_heading][text]The primary objective of Digital Health Care is to increase Healthcare facilities using the latest technologies for better clinical outcomes and decrease medical costs to patients without jeopardizing their social life. One aspect of Digital Health Care is breaking down traditional data integration and Healthcare management practices into electronic formats. Moving on from the conventional pen-paper records to electronic means of handling patient medical records, biometrics details, physician’s notes, clinical and laboratory reports, medical billing details, regular health update reports, and Healthcare insurance details, big data has revolutionized the Healthcare domain in favor of a massive digital infrastructural change. Thus, Big data is a pioneering revolution driving Health Care 4.0 to achieve its objectives.

              A systemic review article published in the Scientific Programming Journal, 2020, estimated the size of electronic Healthcare data across the globe to have reached 25 petabytes in the year 2020. With terabytes of health care data accumulating onto the servers, the primary focus is to successfully integrate this enormous amount of data, interconnect the dots and squeeze the impactful information out of the integrated digital Healthcare ecosystem.[/text][custom_heading id=”” class=”” style=”margin-bottom: 0px;”]So, what can we predict in 2022?[/custom_heading][text]With the rapid growth in cyber security, science, and technology, the year 2022 may become revolutionary for applying data in the early-stage detection of life-threatening diseases. Healthcare Professionals and Industry leaders will move towards Data Driven Decision making to address the key quality parameters in provide patients with the best possible healthcare outcomes and reduce cost for hospitals and insurances.[/text]

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