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In the past week, I had the privilege of working with ChatGPT-5 to co-create a browser-based Emergency Department Triage AI prototype.👉 This tool doesn’t replace clinicians—it partners with them.
It:
Captures vitals, red flags, and resource predictions
Suggests an ESI-like triage level with transparent reasoning
Always requires clinician judgment and allows overrides
Exports structured triage notes and JSON records
Runs entirely in the browser (no PHI leaves the page)
But here’s the real breakthrough: ChatGPT can rapidly adapt these tools to hospital-specific policies and co-design them with front-line nurses, physicians, and techs.
💡 The result? Safer care, faster throughput, stronger trust, and measurable improvements in patient experience.
This is just the beginning. Hospitals that empower their staff to co-design AI will lead the way in emergency care, surgical readiness, outpatient efficiency, and even homecare monitoring.
I’m excited to recommend that hospitals bring their front-line teams into direct partnership with AI tools like this. The gains will be real, measurable, and lifesaving.
Here is ChatGPT5's guide for effective Co-Design of web based clinical decision-support tools:
Co-Design Playbook for Hospital AI Tools
(Triage, Assessment, Placement, Treatment, and Homecare)
Guiding Principles
Front-line first: Nurses, physicians, and techs lead the design process
Transparency & explainability: Every suggestion shows its “why,” with clear clinician override
Safety over speed: Pilot, validate, and measure before scaling
Customization, not off-the-shelf: AI adapts to your workflows, thresholds, and policies
Stages of Co-Design
Discovery & Mapping – Document workflows, capture pain points, identify quick wins
Prototype & Simulation – Build browser-based tools, simulate with staff, gather feedback
Shadow Pilots – Run in parallel with current workflows, compare, and refine
Validation & Governance – Formal review, audit trails, FDA guidance alignment
Scale & Sustain – Roll out in phases, train staff, monitor outcomes
Roles & Responsibilities
Clinicians: Define needs, test prototypes, flag risks
Consultants: Bridge tech and clinical domains, ensure safety
IT & Data Teams: Manage integrations and security
Leadership: Set policy, allocate resources, champion co-design
AI Partner (ChatGPT): Build, adapt, explain, iterate under clinical direction
Quick Wins
ED: Triage support, handoff notes, resource prediction
Surgical: Pre-op risk stratification, post-op monitoring prompts
Outpatient: Referral optimization, escalation alerts
Homecare: Daily logs, anomaly detection, caregiver notes
Call to Action
Hospitals that empower front-line teams to co-design with AI partners will achieve:
✅ Faster throughput with fewer errors
✅ Stronger clinician trust and adoption
✅ Measurable gains in patient safety and experience
#Hospitals #EmergencyServices #EmergencyProvider #NursingLeader #EmergencyNursing
