What BloodGPT publicly offers
BloodGPT accepts lab data in familiar formats including PDF, images, HL7 and FHIR. Its public developer documentation describes asynchronous processing, webhooks and delivery through reports, patient portals or widgets. The partner page describes branded reports, API access and potential on-premise deployment. This is a concrete infrastructure offer, not only a consumer-facing interpretation app.
How the model translates to MedMeters
Replace incoming lab documents with camera-guided clinical protocols. An EHR launch or clinical referral would create a measurement task; a clinician or selected patient captures standardized movement; MedMeters would calculate draft endpoints and, if authorized, compare prior measurements; the clinic then receives reviewable values and a patient-friendly summary within its own workflow.
The difference that matters
Lab analytes are usually already numerical; video requires the measurement itself to be generated. That introduces a protocol-specific capture problem, uncertainty, clinical validation, and safety review. A generic video-to-data endpoint is not enough to create clinically accepted observations.
The InterSystems claim: what is and is not verified
BloodGPT’s own site names InterSystems as a technology partner, and InterSystems offers a Health Innovation Hub for healthcare solutions. In the public Hub list checked on 31 October 2026, a separate BloodGPT card was not displayed. This does not disprove any private partnership or other listing, but it means we should not present a current directory entry or downstream sales as independently confirmed.
Practical takeaway
Build the smallest end-to-end demonstration: clinician orders 5xSTS, patient is assessed, draft metric returns, clinician confirms the result and a structured observation or document lands in the health record. Then demonstrate privacy controls and longitudinal comparability. A strong integration contract follows a proven workflow.