Artificial Intelligence: The "Risk" is not Artificial
ASHRM CE Credit: 1
Join Janell Forget and Betsy Baydala as they explore the use of AI in health care at UMass Memorial health and the regulations that might impact you!
Artificial intelligence (AI) or “Black Box Medicine” as it is commonly referred to is basically a way through which a machine can think on its own to perform a task. Artificial Intelligence consists of a variety of different types of “tools” that aim to improve the process of clinical care, to advance medical research and to improve efficiency. Today, AI has made its way into our daily lives in the form of internet search engines, social media, mapping apps, and smartphone facial recognition. Currently, about 17% of providers use AI technologies, and another 30% plan to do so in the future. Though still in varying stages of development and use, AI in the health care industry is gaining momentum due to the vast potential for machine learning to enhance diagnostic processes, improve the process of clinical care, advance medical research and improve efficiency. The use of AI has a tremendous potential to reshape health care and it is moving rapidly to do so. In addition, public exposure to AI in health care has surfaced significantly since 2020, taking on a much larger role in health care during the pandemic. Given these emerging technologies, many standard approaches to Health care have been accelerated and enhanced during the pandemic. This rapid expansion of AI in health care is easy to understand given the improved efficiency (and need for decreased resources), thereby resulting in financial gain for hospitals and practices. In addition, the use of AI during the pandemic has resulted in increased provider and patient satisfaction and a more timely delivery of some health care services. Through discussion of AI projects currently in use at UMass Memorial Health, we will explore proactive, reactive and real-time AI, while providing reference and analysis of regulatory citations that govern compliance, case law and statutes that determine discoverability and HIPPA implications to assist the Risk Professional in developing a risk analysis at their organization.
At the conclusion of this session, learners will be able to:
- 1. Recognize and define the types of artificial intelligence used in health care organizations and the importance of understanding their function as it relates to risk mitigation and loss control.
- 2. Develop risk mitigation techniques that promote patient safety in artificial intelligence.
- 3. Describe areas of vulnerability as they relate to data exchange, legal discoverability and peer protection in order to develop processes that promote regulatory compliance and peer protection of the interventions and intellectual property ultimately produced from AI.
| ASHRM CE Credits | 1 |
| CNE Credits | 1 |
Janell Forget, RN, BSN, JD, LSSBB, CPHRM, FASHRM
Janell Forget is currently the AVP of Risk Management for UMass Memorial Health and is responsible for all Risk Management activities for the UMass system which includes 4 acute care hospitals on 7 campuses, multi-specialty ambulatory clinics and a large behavioral health organization that provides both inpatient and outpatient behavioral health. Janell has 30 years of pediatric critical care nursing experience and over 20 years of experience in Medical Malpractice defense as an attorney and risk manager and both acute and ambulatory Risk and Compliance Management. In her 9 years with UMass Memorial Health, Janell has redesigned the risk management program into an enterprise program with close interaction with claims and the self-insurance program. Through her efforts and the change in process, department design and staffing models the system has moved from reactive to proactive risk management. Her approach to risk management focuses on culture, relationship development and education using data to reinforce change and process improvement.
Betsy Baydala
Betsy is a partner practicing in the fields of Medical Malpractice, particularly focusing on Health Care Law, and Privacy and Data Security.
Betsy is a Certified Information Privacy Professional/United States (CIPP/US) and handles health care-related cyber liability matters. Betsy has counseled health care clients on cyber issues, including HIPAA/HITECH and regulatory compliance, pre-breach risk assessments and best practices. She is also well-versed in breach response measures and regulatory investigations at the federal and state levels.
Betsy has experience representing major metropolitan area medical centers, podiatrists, psychologists, chiropractors, dentists, nurses, home health care attendants and various other health care professionals. Betsy handles all aspects of litigation and has tried cases to verdict.
As a member of the health care law group, Betsy has experience reviewing and negotiating multimillion-dollar managed care contracts. She has also handled reimbursement and coverage disputes under managed care contracts. In addition, she has successfully defended life, health and disability claims brought against employee benefit plan administrators under ERISA.
This is a live event. Recordings will not be shared with attendees following the conclusion of this webinar.
For questions regarding this webinar, contact ASHRMEd@aha.org