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AI Series: Evaluations of AI Applications in Healthcare


AI Series: Evaluations of AI Applications in Healthcare	 Banner

  • Overview
  • Faculty
  • Begin


Date & Location
Thursday, August 10, 2023, 12:00 AM - Sunday, August 9, 2026, 11:59 PM, On Demand

Overview
Internet Enduring Material Sponsored by Stanford University School of Medicine. Presented by the  Center for Health Education at Stanford University School of Medicine.  Today, there are already many examples of AI systems, powered by streams of data and advanced algorithms, improving healthcare by preventing hospitalizations, reducing complications, decreasing administrative burdens, and improving patient engagement. AI systems offer the promise to rapidly accelerate and scale such results and drive a fundamental transformation of the current disease-based system to one that supports prevention and health maintenance. AI is rapidly advancing and stakeholders are faced with the opportunities and challenges of the quickly evolving technology. This course teaches the principles of AI deployment in the healthcare system and the fundamental components used to evaluate the downstream effects of AI healthcare solutions.

Registration

  Original Release Date: August 10, 2020
  Review Date:  August 8, 2023
  Expiration Date: January 7, 2027
  Estimated Time to Complete: 9.50 Hours

Click Begin (at the top) to learn more about how to enroll in the course.

View entire series: https://www.coursera.org/specializations/ai-healthcare


Credits
AMA PRA Category 1 Credits™ (9.50 hours), Non-Physician Participation Credit (9.50 hours)

Target Audience
Specialties - Non-clinical
Professions - Advance Practice Nurse (APN), Allied Dental Professional, Athletic Trainer, Counselor, Dentist, Dietetic Technician Registered (DTR), Fellow/Resident, Industry, Non-Physician, Nurse, Optometrist , Pharmacist, Pharmacy Technician , Physical Therapist, Physician, Physician Associate, Psychologist, Registered Dietitian, Registered Nurse (RN), Social Worker, Student

Objectives
At the conclusion of this activity, participants should be able to:

  1. Review the principles of AI and how to implement it into clinical workflows.
  2. Consider the potential issues that may arise with AI deployment.
  3. Evaluate the downstream effects of AI applications on healthcare delivery.
  4. Critically analyze standard evaluation metrics of the clinical utility and net benefit of AI solutions.

Accreditation

In support of improving patient care, Stanford Medicine is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.


Credit Designation

American Medical Association (AMA)
Stanford Medicine designates this Enduring Material for a maximum of 9.50 AMA PRA Category 1 CreditsTM. Physicians should claim only the credit commensurate with the extent of their participation in the activity.


Additional Information

Cultural and Linguistic Competency
The planners and speakers of this CME activity have been encouraged to address cultural issues relevant to their topic area for the purpose of complying with California Assembly Bill 1195. Moreover, the Stanford University School of Medicine Multicultural Health Portal contains many useful cultural and linguistic competency tools including culture guides, language access information and pertinent state and federal laws.  You are encouraged to visit the Multicultural Health Portal: http://lane.stanford.edu/portals/cultural.html

Reference/Bibliography List
For additional resources, please visit the course.

For activity related questions, please contact
  Ph: 650.204.3984
  Email: [email protected]

For CME general questions, please contact 
   Ph: (650)-497-8554
   Email: [email protected]



Mitigation of Relevant Financial Relationships


The Stanford University School of Medicine adheres to ACCME Criteria, Standards and Policies regarding industry support of continuing medical education. The content of this activity is not related to products or the business lines of an ACCME-defined commercial interest. Hence, there are no relevant financial relationships with an ACCME-defined commercial interests for anyone who was in control of the content of this activity. 

Member Information
Role in activity
Nature of Relationship(s) / Name of Ineligible Company(s)
Tina Hernandez-Boussard, PhD
Associate Professor of Medicine
Stanford University School of Medicine
Course Director, Faculty
Advisor-Verantos|Consulting Fee-Grai-Matter|Advisor-Athelo Health

AI Series: Evaluations of AI Applications in Healthcare

INSTRUCTIONS: Click "Launch Website" to enroll on our external learning management system (LMS). With successful completion at the end of the course, an evaluation and claim credit url link will be provided to you to access the Stanford CME MY CE Portal with more detailed instructions.

Launch Website

 

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