🎮 The Next Input — Issue #112

In partnership with

⚡ The Briefing — 60 sec

• OpenAI unveils ChatGPT Health as 230 million users ask health questions weekly
  ChatGPT wants to be your doctor now? Let’s just say it’s aiming for triage, not a stethoscope.

• Samsung gives a first look at its AI Living Micro RGB TV at CES 2026
  TVs aren’t just getting sharper—they’re getting smarter. The lounge room keeps leveling up.

• Anthropic’s funding and valuation spark fresh debate
  More money, bigger numbers, same takeaway: serious capital still believes this goes way further.

🛠️ The Playbook — The AI Health Triage Layer

Mission Use AI to triage health questions responsibly—guiding users to the right next step without pretending to replace clinicians.
Difficulty Advanced
Build time 3 hours
ROI Reduces noise, improves guidance quality, and avoids dangerous overconfidence.

0) Why This Matters

Hundreds of millions of people already ask AI about health every week. That genie is not going back in the bottle.
The real risk isn’t usage—it’s misuse.
A proper triage layer keeps AI helpful, cautious, and clear about its limits.

1) Architecture

2) Workflow

1. User submits a health-related question or symptom description.

2. Claude 4.5 Haiku classifies it into buckets:

   • informational

   • lifestyle

   • non-urgent concern

   • urgent / red-flag

3. GPT-5-mini generates guidance focused on next actions, not diagnoses.

4. If red flags appear, system clearly escalates to professional care.

5. All interactions are logged for safety review and tuning.

3) Example Prompts

Risk Classification (Claude 4.5 Haiku)

Classify this health query by urgency:
- informational
- non-urgent
- urgent
Flag any red-flag symptoms.
Do not diagnose.

Guidance Prompt (GPT-5-mini)

Provide safe, general guidance focused on next steps.
Avoid diagnoses.
If risk is high, clearly advise professional care.
Tone: calm, clear, non-alarmist.

4) Guardrails

• Never provide diagnoses or treatment plans.

• Always surface uncertainty clearly.

• Escalate early when red flags appear.

• Keep medical disclaimers minimal but explicit.

5) Pilot Rollout — 3 hours

1. Define red-flag symptom list with clinicians.

2. Test classifier on historical anonymised queries.

3. Review guidance tone and clarity.

4. Simulate edge cases.

5. Roll out to a limited user group.

6. Monitor escalation accuracy closely.

6) Metrics

• Percentage of queries escalated appropriately

• False reassurance rate

• User clarity score (“I know what to do next”)

• Time-to-guidance

• Safety review flags

Pro Tip: The win isn’t answers—it’s steering people away from bad decisions.

🎯 The Arsenal — Tools & Platforms

• FHIR APIs · Standardised health data structures · https://www.hl7.org/fhir

• OpenTelemetry · Trace and audit decision paths · https://opentelemetry.io

• Supabase · Secure logging and access control · https://supabase.com

• Medplum · Healthcare backend primitives · https://www.medplum.com

Copy-paste prompt block:

You are a health triage assistant.
Do not diagnose.
Focus on next steps.
If uncertain or risky, escalate early.

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🕹️ Game Over

In health, confidence matters—but caution matters more.

— Aaron Automating the boring. Amplifying the brilliant.

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