By Dr. Jay Anders, Chief Medical Officer, Medicomp Systems
LinkedIn: Jay Anders MD
LinkedIn: Medicomp Systems, Inc.
Host of Tell Me Where IT Hurts – #TellMeWhereITHurts
On this special episode I welcome David Lareau, CEO of Medicomp Systems. Medicomp Systems is the sponsor of the Tell Me Where IT Hurts podcast.
Lareau discusses the growing role for artificial intelligence (AI) in healthcare technology, including how AI documentation summarization is improving but not yet perfect. Lareau also addresses my concerns that many ambient listening technologies driven by AI and large language models (LLMs) remain only about 80% accurate.
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Meet the Guest
David Lareau, President and Chief Executive Officer, Medicomp Systems
LinkedIn: David Lareau
LinkedIn: Medicomp Systems
As President and CEO, David Lareau stewards Medicomp Systems’ pioneering vision while driving its next chapter of healthcare innovation. With over 20 years of leadership in healthcare IT, he holds a longstanding passion for leveraging technology to empower clinicians and improve care. Following founder Peter Goltra’s groundbreaking work to diagnostically connect healthcare data, Lareau has modernized Medicomp’s core technology to keep pace with today’s evolving industry and expanded the company’s impact into global markets. Under his leadership, Medicomp Systems has scaled its evidence-based clinical AI to power dynamic, multi-modal clinical workflows, and support nursing, home care and hospice, value-based care, and telehealth.
Lareau explains that shortcomings in AI and LLMs can be minimized by linking these technologies to a clinical knowledge graph and by filtering results through internal evidence-based links in Medicomp’s clinical intelligence engine to flag inconsistencies for healthcare providers to check.
Issues around “dirty data” remain, Lareau says, especially the need to clean incoming patient data that varies from disparate coders and coding systems, or with no coding or structure at all. If someone has asthma, you might have 8 to 10 different ICD-10 codes depending on who coded it, for example, making it more challenging to synthesize data and summarize patient history. But using AI, a synonymy engine can help find anything that sounds like that diagnosis.
As for the one thing he would change in healthcare, Lareau would like to see systems open up more and allow outside utilities and vendors to add on capabilities not currently supported within their systems.
Among the topics covered:
- The importance of building trust, and addressing hallucinations and omissions, in ambient listening and LLM outputs
- Converting text to structured clinical data so it is usable for patient care and downstream applications
- Augmenting ambient documentation so clinicians can act on the information
- How intelligent chart analysis can filter and summarize patient data to present clinically-targeted details to the provider
- The need for tools to clean up clinical data so it is trusted and usable now that interoperability frameworks have data flowing through the pipes
- Solutions for ensuring acceptable operating costs when using LLMs to summarize records on an ongoing basis
- The differences between implementing healthcare IT solutions in the U.S. versus other parts of the world
- “If you could change one thing…”
- And more…
Original source of content from Medicomp System’s blog and published here with permission.
About the Show
Join host Dr. Jay Anders as he sits down with experts from across healthcare and technology to discuss ways to improve EHR usability for end users. Dr. Anders and his guests explore opportunities to enhance clinical systems to make them work better for clinicians, reduce burnout, maximize revenue potential, and drive better patient care outcomes.
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