In our recent webinar, Forecasting healthcare: AI’s role in the years ahead, health tech experts discussed the application of generative artificial intelligence (AI) in healthcare, highlighting the potential impact on the industry from clinical decision-making to user experience to data management and more.
Click below to hear the panelists’ predictions and watch the entire webinar.
Short on time? Continue scrolling for a few clips and excerpts from this session.
Gen AI and large language models (LLMs) in life science
Xiaoyan Wang, PhD, FAMIA, Senior VP of Life Science Solutions at IMO, discusses how these technologies are becoming increasingly crucial in the life sciences sector. After years of refinement, they are poised to alter complex healthcare data management and analysis. LLMs have demonstrated their power through reinforcement learning, and each interaction with these systems contributes to their optimization, leading to progressively more intelligent and capable AI models.
Equipping providers with AI technology
Senior VP of Services at Clarify Health, Ines Maria Vigil MD, MPH, MBA, shares her insights on the challenges of navigating vast amounts of healthcare data. According to Vigil, the healthcare industry generates more than 30% of the world’s data volume, surpassing manufacturing, financial services, and media and entertainment.
Focusing on the impossibility of clinicians keeping up with all available clinical data, she elaborates on how AI and machine learning (ML) can help. By processing data swiftly, extracting meaningful insights, and applying advanced real-time predictive information, health outcomes can be enhanced.
The complexities of implementing AI
IMO’s Senior Director of Clinical Informatics, Dr. Amol Bhalla, MD, M.SCI, MHSA, MBA, unpacks the complexity of implementing generative AI. He emphasizes the need for extensive experimentation and judicious use case selection that underscores the importance of a thorough vetting process – including a scientific method approach – to determine the technology’s viability for specific applications. Dr. Bhalla also highlights the delicate balance between older, cost-effective technologies and the advancements brought by generative AI, acknowledging the regulatory implications and the strategic considerations involved in healthcare innovation.
Advancements in clinical documentation with AI
In this clip, Dr. Wang explains how data summarization and visualization can change the way medical information is assessed and understood in clinical settings.
The future of healthcare applications and decision-making
How will AI enhance user experiences and streamline clinical workflows? Dr. Vigil believes virtual health assistants could be a primary tool for healthcare interactions.