Dr. Gleb Tsipursky – The Office Whisperer
Nirit Cohen – WorkFutures
Angela Howard – Culture Expert
Drew Jones – Design & Innovation
Jonathan Price – CRE & Flex Expert
What’s going on:
Healthcare providers are increasingly turning to artificial intelligence (AI) tools to automate clinical visit notes — aiming to reduce the administrative burden and address staffing shortages, according to Bloomberg Law. However, as the healthcare industry adopts AI technologies like generative AI, there are concerns about potential violations of health privacy laws.
Bloomberg reports that regulatory uncertainties persist, especially regarding the use of patient data for training AI tools and potential risks, such as AI inaccurately generating patient information. Despite these concerns, the shift to AI in healthcare is reportedly underway, with major companies like Amazon and Teladoc Health implementing similar technologies into their systems.
Why it matters:
There’s a predicted shortage of physicians in the U.S. health system in the coming years. AI provides a promising solution to alleviate these challenges in the field by adding efficiency to administrative tasks. However, the uncharted legal and regulatory waters pose challenges for widespread adoption of the technology — especially around patient data and consent. As AI continues to make inroads in healthcare, addressing these challenges will be crucial for its successful and ethical integration.
How it’ll impact the future:
It’s possible that automation could lead to eliminating non-clinician roles in the healthcare field. The increased reliance on AI should inspire regulators and leaders within the healthcare field to consider safeguards and guidelines. Additionally, there could be specialized training for staff with an emphasis on ethical considerations when it comes to patient data.
As AI tools become integrated into healthcare, professionals might need to acquire new skills and adopt more interdisciplinary approaches by collaborating with tech experts to ensure the best patient outcomes.
