Podiatry Resources
Get risk management/patient safety resources and free accredited education opportunities for podiatrists.
Show:
Professional Education
Prevention of Medical Errors 2026 to 2028
Few medical errors are attributed to faulty medical judgment. More commonly, they are attributed to system failures inherent in healthcare delivery. By drawing on our professional liability closed claims data, we have identified common performance and diagnostic errors to provide clinicians with the most current information regarding the prevention of common performance and diagnostic errors.
Professional Education
Using AI Tools in Patient Care: Legal and Ethical Considerations
As AI becomes more integrated into patient care, healthcare professionals face important questions about liability, patient disclosure, and the responsible use of AI tools. Learn the legal and ethical considerations of AI in healthcare, including strategies to manage liability risks and support patient safety.
Professional Education
Evaluating AI Scribes: Impacts on EHR Use and Burnout
This recorded webinar explores the growing evidence on how AI scribes affect physician experience, clinical workflows, and patient experience, with particular attention to documentation burden and time spent in the EHR.
Aug 03, 2026
Podiatry: Lessons from Malpractice Claims
To identify factors leading to patient injury, we analyzed 174 podiatric closed claims from 2014 to 2024.
Professional Education
HIPAA Breach Notification Rules and Reporting: 2026 Edition
This course provides an orientation to the basic requirements of the Breach Notification Rules within the Health Insurance Portability and Accountability Act (HIPAA). It covers how HIPAA defines a breach, breach exceptions, and provides guidance on the notification processes in the event that there is a breach.
Professional Education
Healthcare AI: Peril or Paradigm?
This program provides nurses with an overview of the range of artificial intelligence models that can potentially be applied in healthcare, examples of regulatory and ethical AI guidance documents, and evidence-based discussions of risks and strategies to address the risks of using AI in healthcare.
