AI Healthcare Medical Workflow Map
AI Healthcare Medical Workflow Map
A healthcare AI workflow map helps teams decide where AI can support work safely and where human review, privacy controls, or clinical escalation are required. The map should separate low-risk administrative support from patient-impacting work, sensitive data handling, and clinical decision boundaries.
Start With the Workflow, Not the Tool
Before choosing an AI tool, define the task. Identify what information goes in, what output comes out, who reviews it, where it is stored, and whether it could affect patient communication, documentation, safety, privacy, or care decisions.
Low-Risk Support Workflows
- Meeting summaries and internal notes
- Administrative task lists
- Scheduling language drafts
- Training outlines
- Policy summaries for staff review
- Checklist drafts and workflow documentation
Review-Required Workflows
- Patient-message drafts
- Documentation summaries
- Care-plan support drafts
- Care-gap follow-up lists
- Clinical education drafts
- Escalation notes or handoff summaries
High-Risk Workflows
AI should not independently diagnose, prescribe, triage, approve treatment, make clinical decisions, or provide final patient-specific medical advice. These workflows require qualified professional judgment and organizational governance.
Workflow Review Questions
- Does this workflow involve PHI or sensitive patient information?
- Could the output affect patient care or patient understanding?
- Who reviews and approves the AI output?
- What sources should the AI be grounded in?
- Where will the output be stored?
- What should trigger escalation?