Advancing AI for Care Delivery (Recorded Webinar)

Wednesday, January 27, 2021, 12:00 AM - Thursday, January 27, 2022, 12:00 AM, Online

Artificial Intelligence tools show promise for improving health care. They can help predict health trajectories, recommend treatments, and automate administrative tasks. These tools can be used to conduct remote monitoring, support telehealth visits, or target high-risk populations for more intensive health care interventions. With much of patients’ time spent outside of a hospital or a provider’s office, these tools can offer invaluable benefits in facilitating patients’ access to their provider teams in convenient ways. AI tools are in various stages of development and clinicians need to update their knowledge of them, so they can utilize them in practice when appropriate. This course will incorporate a panel discussion, Q&A and didactic lectures.

  Release Date: January 27, 2021
  Expiration Date: January 27, 2022
  Estimated Time to Complete: 2 hours
  CME Credits Offered: 2
  Registration Fee: FREE

*Originally recorded 1/21/2020.

AMA PRA Category 1 Credits™ (2.00 hours), Non-Physician Participation Credit (2.00 hours)

1. Overview of current and future the use of AI outside the hospital and clinic settings.
2. Consider the benefits and challenges of incorporating AI in your practice setting.
3. Analzye the legal and ethical considerations of AI in healthcare.

In support of improving patient care, this activity has been planned and implemented by Stanford Medicine and National Academy of Medicine and US Government Accountability Office. 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 2.00 AMA PRA Category 1 Credits^TM. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

Accessibility Statement
 Stanford University School of Medicine is committed to ensuring that its programs, services, goods and facilities are accessible to individuals with disabilities as specified under Section 504 of the Rehabilitation Act of 1973 and the Americans with Disabilities Amendments Act of 2008.  If you have needs that require special accommodations, including dietary concerns, please contact the CME Conference Coordinator.

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
1. Aggarwal, N., M. Ahmed, S. Basu, J. J. Curtin, B. J. Evans, M. E. Matheny, S. Nundy, C. Shachar, M. P. Sendak, R. U. Shah, and S. Thadaney-Israni. 2020. Advancing Artificial Intelligence in Health Settings Outside the Hospital and Clinic. NAM Perspectives. Discussion Paper, National Academy of Medicine, Washington, DC. https://doi.org/10.31478/202011f.

2. U.S. Government Accountability Office (2020, November). Artificial Intelligence in Health Care: Benefits and Challenges of Technologies to Augment Patient Care. (Publication No. GAO-21-7SP). Retrieved from https://www.gao.gov/assets/720/710920.pdf.

3. Tikkanen, R. and M. K. Abrams. (January, 2020). U.S. Health Care from a Global Perspective, 2019: Higher Spending, Worse Outcomes? Commonwealth Fund. https://doi.org/10.26099/7avy-fc29.

4. Perrin, A. and E. Turner (August 20, 2019). Smartphones help blacks, Hispanics bridge some – but not all – digital gaps with whites. https://www.pewresearch.org/fact-tank/2019/08/20/smartphones-help-blacks-hispanics-bridge-some-but-not-all-digital-gaps-with-whites/.

For CME questions, please contact:
Phone: 650-497-8554
Email: [email protected]

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.