Built on Prompt Opinion
Multi-agent clinical workflows from builders around the world
These projects demonstrate what is possible when powered by an assembly platform that enables interoperability, orchestration, clinical reasoning, and workflow automation, supporting clinicians, care teams, and patients.
Featured projects
Selected from the Agents Assemble Challenge, these projects show how builders used Prompt Opinion to turn agents, tools, open standards, and healthcare context into practical workflow examples.
The collection highlights use cases across clinical coordination, operations, administration, patient engagement, and healthcare interoperability.
🏆 Winner 1
LookCloser
LookCloser demonstrates how the platform enables builders to create sophisticated multi-agent healthcare AI workflows that extend beyond copilots into operational clinical coordination. The project combines longitudinal reasoning, FHIR-native workflows, intelligent escalation, and agent-to-agent collaboration to solve real-world follow-up challenges in healthcare.
Built by Rifqi Haikal
Honourable Mention
Pre-Round Brief
Pre-Round Brief demonstrates how the Prompt Opinion platform can power proactive healthcare AI agents that combine FHIR-native context, scheduling, voice interfaces, and intelligent clinical prioritization to support physicians before care begins.
Built by Domingo Lupo
Honourable Mention
RootCause
RootCause demonstrates how the Prompt Opinion platform can orchestrate FHIR-native multi-agent workflows to detect patient barriers, personalize re-engagement, and turn fragmented dental data into actionable staff-ready outreach plans.
Built by Pari Ahuja & Sagar Sahu
Honourable Mention
FHIR Forge
Demonstrates how Prompt Opinion enables conversion of unstructured clinical documents into validated, terminology-grounded FHIR resources with provenance, clinician review, interactive edits, and approval-before-write workflows.
Built by Chirag Hegde
🥈 Winner 2
LoopGuard Passport
LoopGuard Passport demonstrates how the platform can support governed, longitudinal healthcare AI workflows designed to prevent silent diagnostic follow-up failures. The project combines intelligent agents, FHIR-native interoperability, and clinical reasoning to identify unresolved care loops, prioritize risk, and improve clinical coordination.
Built by Aayush Sigdel
Honourable Mention
NEST
NEST demonstrates how the Prompt Opinion platform can orchestrate multi-agent healthcare AI workflows across maternal and newborn care transitions using coordinated specialist agents, FHIR-native context, and evidence-backed clinical reasoning.
Built by Aishwarya Khot & Gaurav Shrivastava
Honourable Mention
TrustedRisk Care Engine
TrustedRisk Care Engine demonstrates how the Prompt Opinion platform can coordinate federated, multi-specialist AI agents across complex clinical workflows using A2A orchestration, FHIR context, narrated dispatch, and auditable specialist reasoning.
Built by Riccardo Toti , Alessandro Flati , Roberto Mastropietro & Alessandro Spada
Homeward
Demonstrates how Prompt Opinion enables coordination of an A2A specialist consult agent to monitor post-surgical recovery, assess pharmacogenomic medication risks, classify escalation severity, and draft medication updates when uncontrolled symptoms may reflect a drug-gene mismatch rather than a surgical complication.
Built by Faith Ogundimu
Honourable Mention
MaternalGuard
MaternalGuard demonstrates how Prompt Opinion can orchestrate MCP tools and A2A agents over SHARP+FHIR context to surface maternal risk, lab trends, SDOH barriers, neonatal impact, and evidence-backed care planning in one workflow.
Built by Jonathan Andrei
Honourable Mention
Agentic Multidisciplinary Tumor Board
AMDT demonstrates how Prompt Opinion can orchestrate A2A agents and FHIR context to transform unstructured pathology and radiology data into tumor board briefs with deterministic staging logic, provenance, and clinician review.
Built by Shubham K
Anamnesis
Demonstrates how Prompt Opinion enables orchestration of a FHIR augmentation MCP to transform unstructured clinical notes, outside records, and transcripts into structured FHIR updates with source provenance, terminology coding, conflict detection, and clinician approval before write-back.
Built by Chengzhen Gong & Zelong Wang
🥉 Winner 3
Ctrl+Alt+Heal
Ctrl+Alt+Heal shows how the platform can combine clinical NLP, deterministic reasoning, and FHIR-native workflows to build audit-defensible healthcare AI systems. The project identifies coding gaps, interprets unstructured clinical notes, surfaces actionable reimbursement insights while maintaining interoperability.
Built by Kishan Raj Vandhavasi Goutham Kumar & Jaswanth Thundlam
Honourable Mention
Discharge Coordinator
Discharge Coordinator demonstrates how Prompt Opinion can combine agent orchestration, FHIR context, clinical note scanning, and deterministic CMS rule validation to generate discharge orders and coordination workflows in seconds.
Built by Mitchell Coplan
Honourable Mention
Aegis Hindi Consent Companion
Aegis Hindi Consent Companion demonstrates how Prompt Opinion can support patient-specific, culturally aware consent workflows using A2A handoffs, FHIR-grounded risk data, and clear Hindi communication for surgical care.
Built by Bhavna Gupta
Honourable Mention
PediRounds
PediRounds demonstrates how Prompt Opinion can coordinate pediatric AI agents over live FHIR data to detect deterioration, validate medication safety, generate I-PASS handoffs, and create bilingual parent summaries before morning rounds.
Built by Mark Brazinski
Want to explore more projects and see what else is possible with Prompt Opinion?
Browse the gallery with 300+ projects
Why were these projects built?
The Agents Assemble Challenge explored what becomes possible when healthcare AI systems are designed to work together rather than operate as isolated copilots. Hosted by Prompt Opinion, the challenge invited builders worldwide to create interoperable healthcare AI solutions using MCP, A2A, and FHIR standards across real workflow scenarios.
The projects addressed practical healthcare problems, including discharge coordination, maternal risk detection, tumor boards, pediatric safety, and patient communication, while demonstrating coordinated agents that can share context, orchestrate work, and fit into healthcare environments.
We thank every participant, mentor, judge, and community member who helped make the Agents Assemble Challenge possible, and congratulate the winners whose projects pointed toward a more collaborative future for healthcare AI.
Evaluated by healthcare experts
All the projects were reviewed by leaders with experience across healthcare AI, interoperability, clinical innovation, enterprise technology, and care delivery.
Alice Zheng, MD, MBA, MPH
Venture capitalist | ex-McKinsey | Women’s Health x AI
Josh Mandel, MD
Chief Architect for Health, Microsoft Research
Joshua Hickey
Principal Technical Product Manager at Mayo Clinic
Parth Tripathi
Staff Engineer, Vertex AI Gemini Serving, Google
Piyush Mathur, MD, FCCM, FASA, FAMIA
Staff Anesthesiologist/Intensivist, Cleveland Clinic | Co-Founder, BrainX
Stephon Proctor, PhD., MBI
ACHIO for Platform Innovation | Children's Hospital of Philadelphia (CHOP)
Talk to us
Building an agent or deploying one into a real workflow?
Share your use case, and we’ll help you find the right starting point with Prompt Opinion. Whether you are building a new agent, evaluating workflow automation, or exploring how to connect AI with healthcare data and organizational context, we can help you map the path from idea to implementation.