Medicomp Systems @MedicompSys
Our clinical engine works seamlessly with any #EHR to deliver diagnostically relevant & actionable information to clinicians at the #PointOfCare. | #UsableData medicomp.com Joined September 2011-
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Three medical leaders are calling for a licensing framework that holds AI to the same accountability standard as the clinicians it works alongside. Maybe it’s just a start to setting the bar higher. healthexec.com/topics/artific… | @DpearsonDave @HlthExec
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Paper to Stage 7. One hospital. 90 days to 95% adoption. This is what clinical intelligence, built right, can do. See how Quippe® helped IJN make history in Malaysian healthcare. → medicomp.com/case-studies/i…
A diagnosis code tells you how a patient was billed — not how they're doing. For healthcare AI, that gap is a reliability problem. Our CEO David Lareau explains why structured clinical data is now a baseline requirement: Read the blog: medicomp.com/closing-the-cl…
Nearly three-quarters of clinicians said losing critical thinking or decision-making skills will be one of the greatest risks of adopting artificial intelligence, according to a new survey. healthcaredive.com/news/healthcar… | @healthcaredive @emily_olsen
A deterministic clinical knowledge layer standardizes the terminology, relationships & clinical relevance that an AI output must conform to before it can be trusted. And without it, clinicians can't trust what they're seeing. forbes.com/councils/forbe… @Forbes
Reliable healthcare AI starts with the data underneath it. 45+ years of clinical knowledge engineering. One foundational source of truth. That's Quippe. Learn more about Quippe: medicomp.com/artificial-int…
New @HealthCyberWG guidance makes it clear: AI governance in healthcare isn't optional. Without it, AI systems can leak data, perpetuate bias, and compromise patient care. Responsible AI adoption starts with a strong clinical data foundation: techtarget.com/healthtechsecu…
More than 75% of health systems have precision medicine programs. Most can't scale them. The bottleneck isn't the science. It's getting genomic data out of PDFs & into structured, usable form at the point of care. Katie Adams reports for @medcitynews: medcitynews.com/2026/05/precis…
The Trump administration is backing AI physicians — prescriptions, cardio care, and a regulatory pathway for independent AI doctors. The stakes for clinical data quality have never been higher. beckershospitalreview.com/healthcare-inf…
.@AnthropicAI's calling for the world to build tools needed to slow or temporarily pause frontier AI development, arguing in a report the technology’s accelerating ability to improve itself is outpacing safeguards meant to govern: beckershospitalreview.com/healthcare-inf… @BeckersHR @LauraMiller19
🎙️ New Tell Me Where IT Hurts: Medicomp CMO @medicompdoc talks with Kimberly Brandt, COO & Deputy Administrator at @CMSGov, on modernizing Medicare. bit.ly/4e0AyFQ 🧵
Garbage in, garbage out — that's the risk of unvalidated AI in healthcare. Quippe normalizes LLM and NLP outputs into structured clinical data clinicians can trust. 👩💻Watch AI at the Point of Care to learn more: youtube.com/watch?v=TCrqw9…
Health system leaders say the field’s future depends on embedding genomics into routine care, as well as proving its clinical and financial value.
Precision Medicine’s Next Hurdle Isn’t Science — It’s Execution medcitynews.com/2026/05/precis…
Washington still hasn't landed on AI policy. In healthcare, that's not a reason to slow down—it's a reason to get it right from the start. AI built without physician input isn't ready for clinical use, no matter how advanced it looks on paper. beckershospitalreview.com/healthcare-inf… @BeckersHR
There is a growing emphasis among hospitals to recruit & retain new physicians, as well as keep older physicians from retiring. However, this data suggests hospitals & health systems may be overlooking midcareer physicians in retention efforts: beckershospitalreview.com/quality/hospit… @BeckersHR
Technology that wasn't built around how nurses work will never truly support them. When frontline nurses shape the tools, alert fatigue drops and time goes back to the bedside — where it belongs. healthcareitnews.com/news/when-nurs… | @HealthITNews
Relaxing AI safeguards in healthcare before solving the accuracy problem isn't bold — it's reckless. Clinical AI needs more than speed. It needs the intelligence layer that makes it trustworthy at the point of care. ➡️usnews.com/news/health-ne…
What if clinical AI had to pass the USMLE — just like doctors do? Three medical leaders are calling for a licensing framework that holds AI to the same accountability standard as the clinicians it works alongside. healthexec.com/topics/artific… | @DpearsonDave @HlthExec
AI leaders say governance must evolve beyond compliance checklists toward trust, observability and clear decision ownership in agentic systems. techtarget.com/searchapparchi… | @TechTargetNews
Burnout is dropping overall—but ER, OB-GYN, & family medicine clinicians are still bearing the brunt, & documentation burden remains a top culprit. Clinical tools should work the way physicians think. Not the other way around. techtarget.com/searchhealthit… | @HealthITNews @JillHughes
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