One healthcare AI use case, built in 1 to 3 weeks on real synthetic FHIR or de-identified production data, validated against the workflow it has to live in.
Prior-auth predictor, ambient scribe, ED triage checker, claims-fraud signal, intake pre-fill, or eligibility explainer. One scope, shipped working.
Real synthetic FHIR R4 or de-identified production data under a signed Business Associate Agreement. The prototype runs on the data you actually have.
AWS Bedrock or Azure OpenAI on the HIPAA-eligible service tier. HDS or C5 region for EU buyers. PHI does not leave the boundary.
We shadow clinicians, claims reviewers, or member-portal users for documented hours, then write up what the prototype changed in the workflow.
Every prototype ships with a 5-page architecture brief and a cost estimate to go to production. Leadership decides with numbers, not vibes.
If the use case does not hold up under clinician or claims-reviewer validation, the engagement ends in week 3. The spend stays small.
Outcomes from AI prototypes shipped to carriers, ministries, hospitals, healthcare enterprises, ISVs, and founders.
From kickoff to a prototype a clinician or claims reviewer can click through.
PHI stays inside the BAA boundary on AWS Bedrock or Azure OpenAI HIPAA tier.
Use case per engagement. No AI strategy decks. The output is a working thing.
We ship a working healthcare AI prototype in 1 to 3 weeks. The buyer's clinical or claims leadership signs off on production, or kills the use case with numbers attached.
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A working prototype runs against real workflow context. For a payer, that means a prior-auth approval predictor wired to a sandbox claims feed under a Business Associate Agreement. For a hospital, a SMART on FHIR launch inside Epic Hyperspace that a clinician can click through. The output is a Loom of the prototype in use, a 5-page architecture brief, a clinician validation note, and a productionization cost estimate. Not a Notion page. Not a slide deck.
Real synthetic FHIR R4 data, or de-identified production data under a signed Business Associate Agreement. For carriers we pull from the CMS-0057-F payer-to-payer and provider APIs in sandbox. For hospitals we read from Epic, Oracle Cerner, MEDITECH, or athena via SMART on FHIR. For ISVs and digital-health platforms we use the same FHIR layer the production app will run on. Toy datasets are not used.
The model layer runs on AWS Bedrock or Azure OpenAI under the HIPAA-eligible service tier, both covered by a Business Associate Agreement. PHI never leaves the BAA boundary. Audit logging is wired in from day one. For ministries and carriers that require in-region processing, the same architecture runs in HDS (France), C5 (Germany), or a national sovereign cloud.
The buyer's clinical or claims leadership signs off on going to production, or kills the use case fast. Either way the spend stays small. Output is a working prototype the team can click through, a 5-page architecture brief, a clinician validation note documenting the hours shadowed and the workflow observed, and a productionization cost estimate. If the team proceeds, the prototype rolls into a build engagement with the same senior team.
Whether you're launching a new solution or scaling an existing product, Life Value gives you the clarity, speed, and compliance needed to move with confidence.
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