On September 28, 2024, Governor Gavin Newsom signed into law California Assembly Bill 3030 (“AB 3030”), known as the Artificial Intelligence in Health Care Services Bill. Effective January 1, 2025, AB 3030 is part of a broader effort to mitigate the potential harms of generative artificial intelligence (“GenAI”) in California and introduces new requirements for healthcare providers using the technology.Continue Reading California Passes Law Regulating Generative AI Use in Healthcare
This series explores legal issues related to physician burnout and potential solutions. Our first post addressed how healthcare organizations can foster the psychological safety and emotional wellbeing of their physicians. Clients regularly report that charting and documenting, and communicating with patients via EMR is a substantial contributor to physician burnout. Here, we discuss artificial intelligence as a potential way to attract, support and retain clinicians overwhelmed by ever-growing to-do lists, allowing them to focus on delivering clinical care.Continue Reading Solving for Physician Burnout: How Organizations Can Deploy AI Solutions to Effectively Support Physician Workloads and Avoid Legal Pitfalls
On August 21, 2024, Sheppard Mullin’s Healthy AI team conducted a CLE webinar on what hospitals, health systems and provider organizations should consider in building an artificial intelligence (“AI”) governance program. As they discussed, key elements of an AI governance program include: (1) an AI governance committee, (2) AI policies and procedures, (3) AI training, and (4) AI auditing and monitoring. These components of an AI governance program will help healthcare organizations embrace the complexities of AI use in healthcare by establishing appropriate guardrails and systematic practices to encourage its safe, ethical, and effective use. This post reviews each of the key elements.Continue Reading Key Elements of an AI Governance Program in Healthcare
As artificial intelligence (AI) continues to transform the healthcare industry, hospitals, health systems, and provider organizations are increasingly recognizing the need for effective AI governance. But what exactly is AI governance, and why is it so crucial for healthcare organizations?Continue Reading Building a Robust AI Governance Program in Healthcare
On May 17, 2024, Colorado Governor signed into law, Senate Bill 24-205, the Colorado Artificial Intelligence (AI) Act (the “Act”). The law will take effect on February 1, 2026 and the Colorado Attorney General will have exclusive enforcement authority. As previewed in our prior blog post, the Act focuses on consumer protection issues when companies develop AI tools and imposes obligations on developers (i.e., creators) and deployers (i.e., users) of “high risk” AI systems. “High-Risk” AI systems (“HRAIS”) are defined as any AI system that “makes, or is a substantial factor in making, a consequential decision.” A substantial factor means one that (1) “assists in making a consequential decision”; (2) “is capable of altering the outcome of a consequential decision”; and (3) “is generated by an artificial intelligence system.” A consequential decision is a decision that has a material legal or similarly significant effect on matters related to education, employment, financial lending services, an essential government service, healthcare services, housing, insurance, or legal services. This article specifically reviews the impact the Act has on healthcare services.Continue Reading Colorado’s Artificial Intelligence Act Impact on Healthcare Decisions
At last week’s America’s Physician Group Spring conference in San Diego, California, our team heard firsthand how physicians are leading efforts to integrate Artificial Intelligence (AI) applications in ambulatory and inpatient settings in major healthcare systems across the nation. Physician and IT leaders described in detail their organizations’ efforts to identify safe, cost-effective, desirable ways to leverage AI to enhance the efficiency and quality of patient care and reduce physicians’ administrative workload. Here, we highlight key approaches that have generated early success for various health systems and physician groups, as well as key pitfalls that participants looking to adopt these technologies need to account for in their planning.Continue Reading How Physicians are Pioneering Use of AI Applications in Ambulatory and Inpatient Care
If your organization has not updated its policies to comply with Utah’s Artificial Intelligence Policy Act (the “Act”), now is the time. As we noted in a prior blog post, this law took effect on May 1st. While it imposes certain AI-related disclosure obligations on businesses and individuals as a whole, the obligations for regulated occupations (which include those licensed by the Utah Division of Professional Licensing, such as clinical services provided by a licensed healthcare provider, including a physician or nurse), are stricter.Continue Reading Utah Providers – Are You Complying with the AI Policy Act?
This week in New York, many leading health systems came together for the long-running Not-For-Profit Health Care Investors Conference, now sponsored by Barclays, HFMA and the American Hospital Association. The conference allowed investors and industry observers to take the pulse of the nation’s non-profit health systems and to note some interesting trends.Continue Reading Notes from the Barclays 24th Annual Not-for-Profit Health Care Investors Conference