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Rheumera

Rheumera is an AI-powered healthcare software solution that integrates EMR data with real-time patient-reported outcomes (PROs). It leverages AI to generate concise summaries and RTM (Remote Therapeutic Monitoring) billing reports, enhancing clinical decision-making for healthcare professionals.

React Native
AWS
Healthcare
Patient Care
Website
Rheumera

Why it exists

Patients live with the condition every day, but the clinic only sees snapshots. Between visits, signal is lost and interventions arrive late.

What makes it different

  • Patient-generated data translated into clinician-ready signal
  • Designed for real patient constraints and adherence
  • Workflow-aligned with billing/RTM realities

The broken loop

Patients live with the condition every day, but the clinic only sees snapshots. Between visits, signal is lost and interventions arrive late.

  • Visit-based care misses real-time changes
  • Patient data exists, but isn’t clinician-usable
  • Engagement fails when UX ignores limitations

What we built

Rheumera captures patient-reported outcomes and translates them into summaries that support provider action, operational follow-up, and appropriate billing workflows.

  • Structured symptom capture + feedback
  • Clinician summaries that reduce chart burden
  • Program workflow aligned to RTM-style operations

How it works

  • Patient input → structured states → summary → provider action
  • EMR integration to reduce enrollment friction
  • Provider review flow designed for speed

Constraints & tradeoffs

  • Accessibility and ease beat “feature richness”
  • Avoid over-notifying clinicians
  • Keep summaries useful, not verbose

What’s different

  • Built around clinical workflows (not generic “wellness tracking”)
  • Patient UX respects fatigue/pain/limitations
  • Bridges patient language into clinician signal

Outcomes

  • Better between-visit visibility
  • Reduced friction for providers to act on patient updates
  • Higher continuity with lower staff overhead

What’s next

  • More refined triage + escalation logic
  • Deeper integration points for operational loops
  • Stronger evidence capture for program ROI

If I rebuilt it today

  • Make the “clinician-ready summary” the center
  • Keep patient flows as short as possible
  • Close loops: input → summary → action → outcome

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