Clinical Professionals Must Learn AI to
Perform Their Roles in Healthcare
Because the work will go on with or without them
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The Healthcare AI Audit Training Program equips clinical professionals with the specialized technical competencies, algorithmic oversight skills, and audit frameworks needed to guide healthcare technology deployment. By formalizing clinical authority over AI operations, this curriculum ensures that clinical leadership drives patient safety, regulatory compliance, and risk mitigation across emerging healthcare delivery systems.
About
Mary Edwards, RN
Founder of Nurse Ed.
Mary Edwards RN, has an an extensive background in critical care and trauma nursing, healthcare finance, and regulatory compliance. Her career includes specialized expertise in Utilization Management (UM), Prior Authorization (PA), and Fraud, Waste, and Abuse (FWA) detection.
This operational foundation gives her a deep understanding of how clinical documentation, evidence‑based guidelines, payer policies, and federal regulatory requirements intersect in real‑world healthcare decision‑making. Through this comprehensive framework, she helps organizations bridge the gap between clinical data integrity, institutional risk management, and patient safety.
This operational foundation gives her a deep understanding of how clinical documentation, evidence‑based guidelines, payer policies, and federal regulatory requirements intersect in real‑world healthcare decision‑making. Through this comprehensive framework, she helps organizations bridge the gap between clinical data integrity, institutional risk management, and patient safety.
Mary, developed the Healthcare AI Audit Training Program to prepare clinical professionals to apply their clinical expertise toward high‑demand opportunities in artificial intelligence governance and risk mitigation.
The program equips healthcare professionals to operate across specialized roles including:
- AI Annotation & Model Evaluation: Reviewing and standardizing training data to ensure clinical validity.
- Quality Review & Healthcare AI Auditing: Evaluating live algorithmic outputs against strict medical criteria.
- AI Forensic Fraud Auditing: Identifying automated anomalies, systemic billing inflation, and compliance failures.
The curriculum is built on the reality that clinical knowledge must be paired with structured technical execution. Clinical professionals working with artificial intelligence must master objective evaluation criteria to identify unsupported conclusions, isolate model hallucinations, perform source-to-output data validation, and apply the exact regulatory rules governing an active review task.
Through this targeted training, Mary transforms frontline clinical experience into the objective, analytical capabilities required to lead the creation, risk assessment, compliance auditing, and administrative oversight of healthcare AI.
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AI Auditor Training Program Course FAQs
Who is this course for?
This program is designed for healthcare professionals, including nurses and LNCs (legal nurse consultants), who want to build skills in AI annotation, healthcare AI auditing, and AI-related fraud detection. It's especially relevant if you work in or are moving toward utilization management, case management, compliance, or medical review.
Do I need prior AI or tech experience?
No. The course is built for nurses with clinical and/or UM/audit experience. You'll be applying your existing clinical judgment to a new context, not learning to code or build AI systems.
How long is the course?
The program totals approximately 20 hours of content across 5 modules, covering AI annotation, AI auditing, utilization management and medical review, fraud and systemic risk auditing, and a final practicum.
Who do I contact if I have a problem or question during the course?
support@edwardsrn.com
Will I receive a certificate?
Yes, a certificate is awarded by Nurse Ed. upon successful completion of all 5 modules and their certification exams. Continuing education units (CEUs) are not currently awarded.
Is this course self-paced?
Yes, within your 5-day window you move through the modules at your own pace, though each module must be completed and passed in order.
What will I be prepared to do after completing the program?
Graduates will be prepared to work as an AI Nurse Annotator, AI Nurse Auditor, or AI Nurse Fraud Analyst, applying clinical expertise to evaluate, audit, and help oversee healthcare AI systems.
How is the course structured?
Each of the 5 modules builds on the last and ends with a certification exam you must pass (80% threshold) before moving to the next module. The final module includes two timed practicums simulating real production audit conditions.
Is there a refund if I don't complete the course or don't pass an exam?
No. This program does not offer refunds if the course is not completed or if an exam is not passed. Our general no-refund policy is outlined in the Terms and Conditions, which are available for review at any time.
What happens if I don't finish within 5 days?
The 5-day window is final, with no extensions.
How much time do I have to complete it once I enroll?
You have 5 days from enrollment to complete the full program. This window is firm, so plan to set aside dedicated time across those 5 days.
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