Business Problem

• Lacking Single Source of Patient Truth: Fragmented EHRs, lab, and pharmacy systems created silos that blocked unified patient visibility. Providers lacked real-time access to vital and history, delaying care decisions, slowing workflows, and preventing seamless, coordinated care delivery across the patient journey.

• Unclear Value of Genetic Testing: Providers often lacked contextual intelligence to determine when genetic testing was clinically necessary, while patients misunderstood its value. This led to underutilization, weak engagement, and missed opportunities to personalize treatments through pharmacogenomics-guided insights.

• Breakdowns in Care and Diagnostic Tracking: Diagnostic workflows lacked synchronization, with missed, duplicated, or incomplete test orders. These gaps caused delays, billing losses, and diagnostic errors, weakening continuity of care and reducing efficiency from initial testing through treatment decision-making.

• Difficulty Integrating New Digital Tools: Technologies like Ambient Digital Scribe and Digital Front Door are becoming foundational but embedding them into pharmacogenomics workflows proved complex. Poor integration slowed adoption, disrupted workflows, and limited providers from leveraging their full potential for patient care.

Solution Approach

• End-to-End AI Care Pathway: We developed an AI-powered roadmap that aligned the entire care lifecycle, from symptom onset through diagnosis, testing, prescriptions, monitoring, and outcomes. This provided complete visibility, real-time decision support, and ensured faster, safer, and more coordinated patient journeys.

• Seamless EHR and System Integration: Achieved integration with EHR systems such as EPIC using a proprietary, unique, and highly effective approach. This eliminated silos, enabled smooth interoperability, and ensured providers had accurate, up-to-date patient information at every step of care.

• AI-Based Testing Recommendations: We enabled real-time AI analysis of patient data as providers entered it, automatically flagging when genetic testing was clinically necessary. The system pre-filled test details, routed them to the right lab partner, and tracked progress to minimize errors and delays.

• Actionable Insights for Providers & Patients: Lab results were automatically interpreted into clinically actionable insights for providers. For patients, results were translated into clear, easy-to-understand language, creating an engagement layer that improved comprehension, trust, and participation in treatment choices.

• Strategic AI Playbook for Growth: Beyond implementation, we guided the client through a structured AI Playbook, identifying, evaluating, and prioritizing use cases. This ensured maximum organizational value, stronger customer engagement, and clear investor confidence through measurable ROI and clinical impact.