1. The Product

Kinesis, Speech Vitals, DCR, “Move Together”

• AI powered clinical intelligence tools for remote patient monitoring and cognitive assessments
  • Biomarkers:
    • Speech
    • Eye tracking
    • Mobility — gait, balance, and fall risk
    • Motor movement
    • Hearing
• Integration capabilities: Speech assessment tools, RPM devices, and EHR systems
• Target users: Healthcare providers, clinical researchers, and health system administrators, Enterprise Customers
• Scale: 500K+ patient lives across multiple health systems and 300+ clinical specialists

2. Context & Functionalities Introduced

• Problem:
  • Clinicians overwhelmed by RPM data volume, leading to delayed interventions and missed critical health events
  • Multiple medical devices meant that interpretation of results combined with previous EHR data was difficult for Providers
  • The introduction of more medical devices via acquisitions increased the complexity of data interpretation and care optimization
• Solution
  • Built LLM-powered clinical support tool that reads and contextualizes RPM reports, lab results, and clinical notes
  • Implemented predictive analytics engine using cognitive assessment data to detect intervention opportunities
  • Developed automated risk stratification with intelligent alert system for clinical prioritization
  • Created a centralized ML data platform enabling real-time, high-fidelity data access for providers and researchers
• How
  • Working with Clinical teams, Data Science (AI/ML Engineers) Design, Engineering, & Regulatory
  • Taking proprietary data, session data, and our proprietary clinical decision support tree and fine tuning it over OpenAI's commercial api (Open AI o3)
  • Model performance tracking - monitoring accuracy, hallucination detection, and response consistency across clinical scenarios & error handling
    • weekly synchs with data science, clinical teams & engineering to review outputs
  • Data monitoring - ensuring training data adherence and patient privacy compliance
    • System Health & Reliability (AWS Suite)
      • API Response Times
        • Medical device
        • EHR
        • Open AI
      • System Uptime/Availability
      • Error Rates (by error type and severity)
      • Data Pipeline Health (ingestion success rates)
      • EHR Integration Status (connection health, sync delays)
      • Concurrent User Load (peak usage patterns)
      • Decision Latency (time from input to next steps in platform)

3. Impact

• Diagnostic accuracy improvement: 31% increase in accuracy through AI-enhanced clinical decision support
• Care delivery efficiency: increasing proactive care interventions by 27%.
• Provider productivity: Enabled management of larger patient populations through intelligent automation
• Population health scale: Successfully deployed across a health system customer managing 500K+ lives

Demo:

smart-care-dashboard

Untitled