Aaron Chamberlain, Senior Medical Director of the Musculoskeletal Clinical Program at Intermountain Health, discusses the challenges facing healthcare leaders and the role of AI in reducing administrative tasks. They explore patient access and navigation with AI, addressing tech debt, and strategies for implementing innovative technologies while adhering to regulatory compliance.
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Quick takeaways
Streamlining patient navigation and access in healthcare can enhance patient satisfaction and reduce unnecessary visits and costs.
AI, specifically generative AI, has the potential to improve patient access, resource utilization, and cost savings in healthcare, but careful technology adoption and evaluation are necessary due to existing tech debt.
Deep dives
Patient Access and Improved Outcomes
The podcast episode discusses the biggest challenges facing healthcare leaders in terms of driving patient access and improving outcomes. Aaron Chamberlain from Intermountain Health highlights the difficulty patients face in navigating the complex US healthcare system. He emphasizes the importance of making the patient experience more seamless and accessible by helping them find the right provider at the right time. The focus is on addressing patient needs and improving their satisfaction by streamlining the navigation process, which can ultimately reduce unnecessary visits and costs.
Patient Expectations and Healthcare
The discussion delves into patient expectations in healthcare. While patients may not expect a seamless and smooth experience like in other industries, there is room for improvement. Low expectations are seen as a result of the complexity and challenges within the healthcare system. However, addressing patient navigation and access can not only enhance patient satisfaction but also reduce costs for unnecessary visits. The goal is to align what is valuable to patients with the benefits for the healthcare system and all stakeholders.
Utilizing AI for Patient Access and Real-Time Data
The podcast explores the potential role of AI, specifically generative AI, in addressing patient access and real-time data in healthcare. It is suggested that AI can support the initial patient navigation process by providing clinically informed discussions and decision support. By scaling up the use of AI, healthcare systems can benefit from improved patient access, better utilization of resources, and cost savings. However, there is a cautious approach toward technology adoption due to existing tech debt in healthcare. Pilot programs and data-driven evaluation are essential to ensure compliance and optimal outcomes.
Today’s guest is Aaron Chamberlain, Senior Medical Director of the Musculoskeletal Clinical Program at Intermountain Health. Intermountain is a US-based not-for-profit healthcare system with over 350 clinics and 30 hospitals in the Intermountain West, located in Salt Lake City, Utah. Aaron joins us on the program today to talk about the biggest challenges facing healthcare leaders when it comes to driving patient access and improved outcomes. In conversation with Emerj Senior Editor Matthew DeMello, Aaron addresses the problem of tech debt and the role that emerging generative AI capabilities can play in ensuring that doctors are spending more time interfacing with patients than in tedious administrative tasks. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!
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