This online course helps healthcare operations teams use generative AI with clear purpose, bounded data, accountable human review, measurable quality checks, and an actionable incident path.
Scope includes scheduling and access communications, records and documentation support, billing and workflow assistance, internal knowledge retrieval, and other non-clinical operations. It excludes diagnosis, treatment, clinical recommendations, and patient-specific decision-making.
Reference basis: NIST AI Risk Management Framework and NIST AI RMF Generative AI Profile.
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Textbook-section content reused across this course's scheduled class options.
v1.0
A practical guide to defining purpose, roles, boundaries, data, affected people, and operational AI risks.
v1.0
A practice guide for evaluation, provenance, monitoring, incident response, and continuous improvement.
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Options1
Meetings4
Hours8
Pricing$0.00
Class OptionHTPAC-200 – Responsible AI in Healthcare Operations Lab – Codex Curriculum Development PilotHTPAC-C110 – Responsible AI Usage in Healthcare Operations | 2026FA – Codex Curriculum Development Pilot | 4 meetings | 8 hoursLive online practice mapping, testing, and managing a bounded healthcare AI use case.
ScheduleNov 3, 2026 - Nov 24, 2026 (4 sessions)
LocationOnline / instructor-ledPrice$0.00ScheduleNov 3, 2026 12:00 pm - Nov 3, 2026 2:00 pm
Hours2 hoursLocationOnline / instructor-ledVirtualNot set
Materials0 materials
Assignments0 assignmentsScheduleNov 10, 2026 12:00 pm - Nov 10, 2026 2:00 pmHours2 hoursLocationOnline / instructor-ledVirtualNot setMaterials0 materialsAssignments0 assignmentsScheduleNov 17, 2026 12:00 pm - Nov 17, 2026 2:00 pmHours2 hoursLocationOnline / instructor-ledVirtualNot setMaterials0 materialsAssignments0 assignments+1 additional meeting dates on the class page.
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