Heather Lane, a Senior Architect at athenahealth, discusses the implications of generative AI in healthcare, including reducing paperwork and assisting with routine tasks. The podcast emphasizes the importance of internal governance, establishing standards, and involving stakeholders for using generative AI in healthcare. The risks of generative AI are also discussed, such as AI bias and lack of understanding in how LLMs work. The potential future state of healthcare, where data seamlessly flows between patients and doctors, is explored.
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Quick takeaways
Implementing generative AI in healthcare requires careful navigation of challenges such as systems design, integration, and managing issues like hallucinations and AI bias.
Internal governance and guidelines, including considerations of safety, privacy, and compliance, are crucial when adopting generative AI in healthcare.
Deep dives
Implications of Generative AI on Healthcare
Generative AI capabilities have emerged as a qualitatively new category in the healthcare space, offering exciting possibilities to reduce overhead and assist with routine tasks. However, implementing this new technology comes with challenges such as systems design, integration, and managing issues like hallucinations and AI bias. Organizations need to carefully navigate these challenges and develop internal governance to handle AI models. While some are cautious, waiting for validation from reports, others are taking swings and experimenting with the technology. Smart leaders should strive for a middle ground by exploring compliant use cases and developing measurement techniques to evaluate capabilities and ensure patient safety.
Governing AI Implementation in Healthcare
Adopting generative AI in healthcare requires a thoughtful and cautious approach to avoid risks and ensure privacy and safety. Internal governance plays a crucial role, starting with guidance on using enterprise chat GPT platforms rather than public versions to protect patient information. Organizations like Athena Health are developing internal policies to manage AI use and are involving stakeholders from patient safety, provider perspectives, data science expertise, and product insights. While the specific organizational structure of governance may vary, collaboration and empirical approaches, such as measurement and evaluation, will be key to finding valuable and compliant use cases.
Balancing Speed and Thoughtfulness in AI Adoption
Moving swiftly but thoughtfully is paramount when adopting generative AI in healthcare. Organizations cannot afford to wait for extensive reports nor hastily implement the technology. While small startups have the advantage of agility, larger organizations like Athena Health with thousands of providers and millions of patients must move carefully. To strike the right balance, internal governance and guidelines should be established, including considerations of safety, privacy, and compliance. Empirical methods involving subject matter experts and measuring outcomes are essential in exploring the potential of AI while managing risks.
Embracing the Future of AI in Healthcare
Generative AI presents a transformative potential in healthcare with its flexibility and ability to assist healthcare professionals. Its applications extend beyond paperwork burden reduction to areas such as document summarization and leveraging wearables for patient monitoring. While the future specifics are uncertain, there is a vision of an ecosystem where AI assistants seamlessly integrate into healthcare workflows, providing timely assistance and personalized care. The future holds possibilities for interactive AI tools that empower healthcare providers and improve patient outcomes.
Today’s guest is Heather Lane, Senior Architect at athenahealth. athenahealth is one of the leading U.S. providers of network-enabled services for healthcare and point-of-care mobile apps. Heather joins us on today’s program to discuss the implications of new, emerging generative AI capabilities on the healthcare space and the systems healthcare providers must implement to leverage their benefits. To access Emerj’s frameworks for AI readiness, ROI, and strategy, visit Emerj Plus at emerj.com/p1.
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