HealthIT Answers: Minimizing AI Shortcomings with Clinical Intelligence Engines
Dr. Jay Anders sits down with Medicomp CEO David Lareau to discuss the evolving landscape of health technology.
MedCity News: How to Take Out the Data Garbage and Create AI Gold
Medicomp CMO Dr. Jay Anders writes that integrity of clinical data is key to ensuring AI truly helps healthcare achieve its goals.
The Collective Voice of Health IT Podcast: Guardrails for AI with Dr. Jay Anders
Dr. Jay Anders, CMO of Medicomp Systems, discusses AI hallucinations and their effect on patient safety and clinician trust on this episode of The Collective Voice of Health IT podcast.
“Tell Me Where IT Hurts” Podcast: David Lareau, CEO of Medicomp Systems
On this special episode of Tell Me Where IT Hurts, host Dr. Jay Anders welcomes David Lareau, CEO of Medicomp Systems. Medicomp Systems is the sponsor of the Tell Me …Continue
Empowered Patient Podcast: Using AI to Address Medical Record Dirty Data with Dr. Jay Anders
Dr. Jay Anders discusses how incorrect or misconstrued patient data gets propagated through the medical record, what technology can do to fix it on the Empowered Patient Podcast.
KevinMD: Why fixing health care’s data quality is crucial for AI success
Physicians Practice | Set it but check it: Avoiding the hidden risks of ambient listening in health care
“Tell Me Where IT Hurts” Podcast: Lynn Carroll, COO of HSBlox on Medicare Advantage plans
On this episode of Tell Me Where IT Hurts, Dr. Jay Anders welcomes Lynn Carroll, Chief Operating Officer at HSBlox. Healthcare NOW Radio Podcast Network Together with Dr. Anders, …Continue
KevinMD: Health care’s data problem: the real obstacle to AI success
Chief Medical Officer Jay Anders, MD addresses concerns around flawed and inadequate structured data, increased workloads, and interoperability in KevinMD.com.
HIT Leaders and News: How LLMs and AI Are Reshaping Healthcare—And Where They Fall Short
In a Q&A with HIT Leaders and News, Dr. Jay Anders, CMO of Medicomp Systems discusses why AI and LLM tools must be implemented with caution, how data quality remains …Continue
