Medicare.dev is a fully-functional prototype of how I think an AI-native, single-payer healthcare system could work. It uses "programs" and not "plans" because I do not think plans make sense given that nobody plans on getting sick. It also uses one big market-network instead of provider networks, you can also add your own providers if you want to.
How It Works:
1. Define the Problem — A patient or provider describes a health need in natural language. Just press the mic and explain whats wrong e.g.: "I have a headache and I fell down the stairs". AI analyzes the statement, identifies underlying issues, maps stakeholders, and surfaces relevant programs, financing options, and expertise.
2. Codify the Solution — The platform auto-generates a structured care protocol: assessments, activities, challenges, follow-ups, KPI tracking, nudges, and medical orders — organized into adaptive, branching pathways that account for success and failure scenarios.
Note: ^ is sent to an actual medical provider to approve but I turned off the HITL for this step because it cost $ but its still live so providers will actually be contacted.
3. Assemble the Team — AI matches the problem to qualified specialists (physicians, nurses, social workers, counselors) and assembles a care team with role-based permissions and task assignments.
4. Execute the Program — The patient follows the protocol step-by-step, guided by a personal AI agent that answers questions, sends reminders, tracks progress, and escalates issues. If a step fails, the protocol adapts — branching to alternative pathways or looping back to redefine the problem.
5. Verify the Outcome — Results are confirmed, funds are distributed to providers, and the system closes the loop — or restarts the cycle if the original problem was misidentified.
tl;dr - AI guides you through your entire care-plan from onset to outcome.
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Show HN: AI-Native "Medicare for All" Prototype · HackerTrans
How It Works:
1. Define the Problem — A patient or provider describes a health need in natural language. Just press the mic and explain whats wrong e.g.: "I have a headache and I fell down the stairs". AI analyzes the statement, identifies underlying issues, maps stakeholders, and surfaces relevant programs, financing options, and expertise.
2. Codify the Solution — The platform auto-generates a structured care protocol: assessments, activities, challenges, follow-ups, KPI tracking, nudges, and medical orders — organized into adaptive, branching pathways that account for success and failure scenarios.
Note: ^ is sent to an actual medical provider to approve but I turned off the HITL for this step because it cost $ but its still live so providers will actually be contacted.
3. Assemble the Team — AI matches the problem to qualified specialists (physicians, nurses, social workers, counselors) and assembles a care team with role-based permissions and task assignments.
4. Execute the Program — The patient follows the protocol step-by-step, guided by a personal AI agent that answers questions, sends reminders, tracks progress, and escalates issues. If a step fails, the protocol adapts — branching to alternative pathways or looping back to redefine the problem.
5. Verify the Outcome — Results are confirmed, funds are distributed to providers, and the system closes the loop — or restarts the cycle if the original problem was misidentified.
tl;dr - AI guides you through your entire care-plan from onset to outcome.