Framewise Health

Roadmap & Position in Patient Engagement

Turns discharge data into patient-specific recovery videos.

Company Overview

Framewise Health is a health-tech startup that turns EHR discharge data into clinician-reviewed recovery videos delivered by SMS. The buyers span hospitals, specialty clinics, pharma, and medical devices; named customers are not public.

What They're Building

The company's public product roadmap & what they're committed to building.

EHR-FHIR Discharge Videos

Patient-specific recovery videos generated from diagnosis, medications, allergies, language, and discharge-plan fields.

Clinician Review Layer

Hospitals approve clinical content first, then the system assembles patient videos from guarded material rather than freeform advice.

Multilingual Delivery

English and Spanish are live, with additional languages planned (the site claims 70+).

Comprehension Analytics

Patient interactions feed topic-level understanding scores back to care teams, which is the real wedge if buyers trust it.

Readmission-Based Pricing

Public pricing is not live, but quotes are tied to readmission volume and CMS HRRP economics.

Latest Intelligence

Zeitgeist tracks private signals to determine where the company is heading strategically.

Competitors

Health Recovery Solutions:

Remote patient monitoring incumbent focused on post-discharge care programs, with a broader services-heavy RPM motion.

Get Well:

Patient engagement platform with health-system distribution, competing more on enterprise reach than AI-native video personalization.

WebMD Ignite:

Patient education and engagement vendor with deep content assets, but less evidence of patient-specific video generation from live EHR data.

Framewise Health

's Moat:

Long-term defensibility has not formed yet. The path is workflow switching costs combined with proprietary comprehension data that ties EHR events to readmission outcomes over time.

How They're Leveraging AI

AI Use Overview:

Framewise likely runs a retrieval-guided LLM and video pipeline that binds FHIR records to approved clinical libraries, then measures comprehension by patient and topic, so the model never produces unguarded clinical advice.

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