Prompt Opinion | Healthcare AI Agents. Assembled.
Short summary
Prompt Opinion lets healthcare organizations plug in interoperable AI agents, tools, and standards into real workflows. It uses MCP, A2A, and FHIR to connect EHRs, policies, and data, turning standalone agents into production-ready tasks like prior authorizations, trial matching, and population health analyses.
- Prompt Opinion connects healthcare AI agents to real EHRs, policies, and data using open standards (MCP, A2A, FHIR) instead of leaving them as isolated pilots.
- The platform targets concrete production tasks—prior authorizations, trial matching, population health gap analysis, chart summarization—not just demos.
- Builders can publish agents once (via TypeScript/Python reference code) and reach every customer, while healthcare orgs get turnkey, audited, compliant integrations from day one.
- It's live in beta with an "Agents Assemble Challenge" recruiting developers to build agents that output real deliverables like documents, tables, or transactions.
Full summary
Prompt Opinion offers a platform that turns standalone healthcare AI agents into full workflows. Instead of scattered pilots that never leave the lab, it hooks agents up to your EHR, policies and data, then stitches them together into real-world tasks. Builders write the AI logic, organizations supply charts and rules, and the platform uses open specs—MCP for tools, A2A for agent-to-agent calls, FHIR for data—to keep everything interoperable.
You can start from templates, write native agents in the system, pull in third-party bots from the registry or tap into reusable MCP tools like clinical calculators or coding lookups. Once assembled, these workflows handle things like generating prior-auth packets, matching patients to trials, spotting care gaps across populations, summarizing charts or drafting policy-aligned guidance. Every agent adapts its output to the context—one patient at the bedside, a cohort for population health, or research criteria for trial matching.
Prompt Opinion serves two audiences. Builders—clinicians, informaticists and engineers—get reference code in TypeScript and Python, plus infrastructure to publish agents once and reach every customer. Healthcare organizations get turnkey agents connected to their EHR from day one, complete with governance, audit trails and compliance. Now live in beta, the Agents Assemble Challenge invites developers to build and publish AI agents that deliver concrete outputs—a document, table, transaction, consultation or task—ready for production use.