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
California Governor Newsom signed Senate Bill 1120 into law, which is known as the Physicians Make Decisions Act. At a high level, the Act aims to safeguard patient access to treatments by mandating a certain level of health care provider oversight when payors use AI to assess the medical necessity of requested medical services, and by extension, coverage for such medical services.Continue Reading California Limits Health Plan Use of AI in Utilization Management
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
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
With technology rapidly evolving and jurisdictions appearing blurred, it is increasingly important to be mindful of data flow and use. This is particularly true where patient data is being accessed by offshore subcontractors.Continue Reading Do You Catch Our Drift? Navigating the Waters of Offshoring and Patient Data
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 is the second post in a two-part series on PrivacyCon’s key-takeaways for healthcare organizations. The first post focused on healthcare privacy issues.[1] This post focuses on insights and considerations relating to the use of Artificial Intelligence (“AI”) in healthcare. In the AI segment of the event, the Federal Trade Commission (“FTC”) covered: (1) privacy themes; (2) considerations for Large Language Models (“LLMs”); and (3) AI functionality.Continue Reading Artificial Intelligence Highlights from FTC’s 2024 PrivacyCon
Last month, the Federal Trade Commission (“FTC”) hosted its annual PrivacyCon event, featuring an array of experts discussing the latest in privacy and data security research. This post, covering healthcare privacy issues, is the first in a two-part series on PrivacyCon’s key takeaways for healthcare organizations. The second post will cover topics on artificial intelligence in healthcare.Continue Reading Healthcare Highlights from FTC’s 2024 PrivacyCon
AI is here to stay. The development and use of artificial intelligence (“AI”) is rapidly growing in the healthcare landscape with no signs of slowing down.Continue Reading Recent Healthcare-Related Artificial Intelligence Developments