Our clinical engine works seamlessly with any #EHR to deliver diagnostically relevant & actionable information to clinicians at the #PointOfCare. | #UsableData
Joined September 2011
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Jun 12
.@CHAI_nonprofit has officially released a series of in-depth healthcare AI governance playbooks to establish essential baseline controls for safe, transparent technology deployment:
hitconsultant.net/2026/05/27… | @HITConsultant
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Jun 12
New data suggests hospitals & health systems may be overlooking midcareer physicians in retention efforts:
beckershospitalreview.com/qu… | @BeckersHR
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Jun 12
1,000 Epic hospital customers are now live on TEFCA & the push for nationwide health data exchange is accelerating. Seamless interoperability only delivers on its promise when underlying clinical data is accurate & structured: fiercehealthcare.com/health-… @FierceHealth @HeatherLandi
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Jun 11
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/artifi… | @DpearsonDave @HlthExec
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Jun 11
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/ij…
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Jun 11
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-cli…
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Jun 10
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/heal… | @healthcaredive @emily_olsen
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Jun 10
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/forbeste… @Forbes
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Jun 10
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-inte…
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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/healthtechsec…
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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/prec…
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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/he…
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.@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/he…
@BeckersHR @LauraMiller19
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🎙️ New Tell Me Where IT Hurts: Medicomp CMO @medicompdoc talks with Kimberly Brandt, COO & Deputy Administrator at @CMSGov, on modernizing Medicare. bit.ly/4e0AyFQ 🧵
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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=TCrqw9Hm…
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Health system leaders say the field’s future depends on embedding genomics into routine care, as well as proving its clinical and financial value.
May 25
Precision Medicine’s Next Hurdle Isn’t Science — It’s Execution medcitynews.com/2026/05/prec…
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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/he… @BeckersHR
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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/qu… @BeckersHR
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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/wh… | @HealthITNews
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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-news/…
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