Healthcare primer

Healthcare AI Primer

A learner journey for regulated clinical AI evaluation, on-prem constraints, HIPAA/BAA review, multimodal data, and care-coordination boundaries.

For the hospital CIO / CMIO who keeps hearing about AI but cannot evaluate vendors.

Clinical record, imaging, and review panels for healthcare AI evaluation
Draft for editor review: clinical AI evaluation as governed evidence review.
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8 modules
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Recommended reading path

Start by filtering healthcare AI claims, then move through deployment boundaries, privacy review, vendor evaluation, clinical data substrate, workflow fit, care coordination, and shared hospital literacy before the Therasyn CTA.

  1. Claim filterReading the AI hype cycle for healthcare
  2. Deployment boundaryWhy on-prem matters for clinical AI
  3. Privacy reviewWhat HIPAA and BAA mean for AI evaluation
  4. Vendor evaluationHow regulated healthcare environments evaluate AI vendors
  5. Data substrateMultimodal clinical data platforms
  6. Workflow fitWhat AI actually does in a clinical workflow today
  7. Coordination boundaryWhen AI helps care coordination and when it does not
  8. Shared literacyWhere AI literacy needs to grow inside a hospital system
  9. Next conversationTalk to Barg Labs about Therasyn
  1. Module 1Reading the AI hype cycle for healthcareThis is for hospital CIOs and CMIOs separating durable capability from vendor theatre.
  2. Module 2Why on-prem matters for clinical AIThis is for clinical technology leaders whose environments cannot assume cloud-only data paths.
  3. Module 3What HIPAA and BAA mean for AI evaluationThis is for executives translating privacy obligations into vendor-evaluation questions.
  4. Module 4How regulated healthcare environments evaluate AI vendorsThis is for hospital leaders who need a question set before procurement momentum takes over.
  5. Module 5Multimodal clinical data platformsThis is for teams comparing EHR-bundled analytics with newer clinical data substrates.
  6. Module 6What AI actually does in a clinical workflow todayThis is for clinical executives who want plain language without a machine-learning detour.
  7. Module 7When AI helps care coordination and when it does notThis is for leaders evaluating AI around handoffs, referrals, follow-up, and patient operations.
  8. Module 8Where AI literacy needs to grow inside a hospital systemThis is for CIOs and CMIOs turning executive curiosity into shared evaluation discipline.

Healthcare understanding check

0 of 3 questions completed locally.

1. Which question best filters healthcare AI hype in Module 1?

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2. On-prem clinical AI removes the need for governance work.

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3. Name one information-work task AI can assist in clinical workflows today.

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Go deeper when Wilfrid is ready

Wilfrid is the course tutor we're building for the Healthcare vertical. Edwy keeps this public primer lightweight; Wilfrid is where a future learner can practice the topic in depth.

I read all of this - what now?

Read the full Healthcare primer and want to talk about clinical data infrastructure? Get in touch about Therasyn.

Healthcare AI Primer | Edwy