This self-paced framework helps healthcare operations and health-technology teams define bounded AI use cases, protect sensitive information, establish human oversight, evaluate quality and disparate impact, and manage incidents.
Examples focus on scheduling, contact-center support, documentation workflows, inventory, revenue-cycle operations, internal knowledge retrieval, and quality improvement. The course does not authorize diagnosis, treatment, triage, clinical eligibility, medical advice, or autonomous decisions.
Use fictional or approved de-identified scenarios only. Validate every operational decision with the organization’s privacy, security, clinical, compliance, legal, risk, and business owners.
Reference basis: NIST AI Risk Management Framework and NIST AI RMF Generative AI Profile.
Schedule Calendar
Tap a meeting date to view the related class meeting details below the calendar.
No meetings match the current filters.
No dated class meetings are currently available for this scope.
Textbook-section content reused across this course's scheduled class options.
v1.0
Define purpose, authority, data, affected people, clinical boundaries, and accountable roles before choosing a tool.
v1.0
Choose data, privacy, security, fairness, provenance, and evaluation controls that fit the actual workflow.
v1.0
Respond to failures through containment, accountable escalation, communication, rollback, and documented improvement.
v1.0
Bound healthcare-operations AI use cases with explicit purpose, prohibited decisions, and accountable ownership.
v1.0
Design safer data boundaries and meaningful human review for healthcare AI workflows.
v1.0
Measure healthcare AI workflows, monitor for harm, and prepare controlled escalation and rollback.
Schedule Calendar
Aggregated meeting dates for classes using this course, with class and location filters.
No meetings match the current filters.
No dated class meetings are currently available for this scope.
Class choices with compact schedule previews, instructor links, hours, and enrollment.
Options4
Meetings0
Hours0
Pricing$0.00 - $395.00
Class OptionHTPAC-100 – Responsible AI in Healthcare Operations Learning TrackHTPAC-C100 – Responsible AI Usage in Healthcare Operations | 0 meetings | 0 hoursSelf-paced learning track with no School, campus, or scheduled session requirement.
ScheduleTBDPrice$395.00Class OptionHTPAC-301 – Healthcare AI Use Cases and Intended UseHTPAC-C100 – Responsible AI Usage in Healthcare Operations | 0 meetings | 0 hoursBound healthcare-operations AI use cases with explicit purpose, prohibited decisions, and accountable ownership.
ScheduleTBDPrice$0.00Class OptionHTPAC-302 – Privacy, Data Handling, and Human OversightHTPAC-C100 – Responsible AI Usage in Healthcare Operations | 0 meetings | 0 hoursDesign safer data boundaries and meaningful human review for healthcare AI workflows.
ScheduleTBDPrice$0.00Class OptionHTPAC-303 – Evaluation, Monitoring, and Operational EscalationHTPAC-C100 – Responsible AI Usage in Healthcare Operations | 0 meetings | 0 hoursMeasure healthcare AI workflows, monitor for harm, and prepare controlled escalation and rollback.
ScheduleTBDPrice$0.00Course-level and class-level assets compiled from academy store mappings.
No materials are currently linked.
Course, class, and meeting-level assessments linked to this course.
Planning details are available now, but enrollment, coursework, and assessments are not active yet.
There is no payment or enrollment commitment. We will email you when the status changes to Scheduled or Active.
0 learners are following this opportunity.