Adopting Generative AI in Healthcare Organizations - with Prashant Natajaran of H2O.ai
Mar 7, 2024
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Prashant Natajaran from H2O.ai discusses the impact of generative AI in healthcare. Topics include enthusiastic adoption, future models, private-public sector integration, and AI influence in healthcare organizations.
Generative AI in healthcare offers seamless integration with computing, driving transformative impact in drug development.
Private-public sector collaboration in healthcare presents opportunities for innovation and advancements in patient care.
Deep dives
The Rapid Adoption of Generative AI in Healthcare and Life Sciences
Generative AI is experiencing rapid adoption in healthcare and life sciences, unlike previous tech waves. Healthcare and life sciences departments are responding with enthusiasm and experimental initiatives. Generative AI shows promise in transforming the healthcare industry, offering seamless integration with computing and easy access to executing tasks. Its application in drug development and clinical trials presents significant value, particularly in early stage drug development.
Use Cases and Considerations in Healthcare Industry
Healthcare industries are leveraging generative AI for various use cases, including integration with patient data and non-patient data-oriented domains. Enterprises are advised to bring AI models in-house to address data privacy concerns rather than relying solely on cloud services. A shift towards specific language models alongside large language models is noted for improved efficiency and addressing cost concerns.
Private Sector Innovation and Public Sector Crossover in Healthcare
Private sector innovation is intersecting with the public sector in healthcare, especially in areas like veterans' health. The collaboration between private and public sectors poses opportunities for innovation and impactful transformations in patient care, clinical research, and healthcare operations. The application of generative AI in areas like preventive health management and screening holds great potential for enhancing healthcare services.
Future Trends and Opportunities in Healthcare and Life Sciences
Future trends suggest a shift in leveraging specific language models for specialized tasks, complimenting large language models for enhanced efficiency. Enterprises are encouraged to explore in-house AI model development to ensure data privacy and control. The collaboration between private and public sectors in healthcare signals exciting opportunities for innovation and advancements in patient care and operational efficiency.
Today’s guest is Prashant Natajaran, Vice President of Strategy and Products at H2O.ai. H2O.ai is a tech company whose platform, the H2O AI Cloud, enables businesses, government entities, nonprofits, and academic institutions to make, operate, and innovate with different AI capabilities like machine learning and AI-enhanced middleware. Prashant joins Emerj CEO and Head of Research Daniel Faggella on today’s episode to discuss the impact generative AI is having on the healthcare industry and what leaders can do to drive adoption safely across the enterprise. To discover more AI use cases, best practice guides, white papers, frameworks, and more, join Emerj Plus at emerj.com/p1.
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