
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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AI models drift, workflows change, and validation has to keep pace. Health system CMIOs tell @BeckersHC that vendor accountability shouldn’t end at go-live.
@LauraMiller19 has the story via @BeckersHC: beckershospitalreview.com/he…
After funding, interoperability is the top tech need for value-based care leaders, cited by 51%. Shared risk only works when clinical data is integrated, structured and ready to use.
More from @HealthITNews: healthcareitnews.com/news/va…
Who’s accountable when generative AI gets it wrong? In comments to the @US_FDA, hospital and physician groups say developers should own the ongoing performance of the tools they sell.
Via @HealthcareDive:
healthcaredive.com/news/deve…
Strong oversight and physician expertise belong together. As AI takes on more clinical functions, ongoing monitoring matters as much as the initial approval, and so does keeping clinicians in control of what goes into the record.
As generative AI takes on more clinical functions, how do we ensure it’s safe and effective for patients?
The AMA is outlining a path forward for FDA oversight that prioritizes meaningful clinical evidence, ongoing performance monitoring and physician expertise while supporting responsible innovation. spr.ly/6019BHRCwf
Faster notes, higher-level visits: @Peterson_HTI found AI scribe rollouts coincided with a 5% jump in Level 5 visits. The question for every practice: does the documentation support the code?
Via @hitconsultant: hitconsultant.net/2026/10/14…
Ambient AI is becoming commonplace, but it may have more flaws than most doctors realize.
Medicomp CMO @medicompdoc explains why in this clip from @MedEconomics.
👩🏽💻medicaleconomics.com/shorts/…
"The idea of having unlicensed, unvetted, and irresponsible AI writing prescriptions is a terrible idea."
Our CMO @medicompdoc on AI prescribing and accountability in the Journal of @AHIMAResources:
🔎 journal.ahima.org/page/healt…
Speed is the easy part of AI documentation. Accuracy is harder.
Medicomp checks AI-generated notes against what the clinician actually documented, flagging unsupported diagnoses before the note is saved.
🔎 medicomp.com/
New @JAMA_current study via @HealthITNews: treatment and management made up 33% of physician queries to a clinical AI tool, vs. 14% for diagnosis. As AI moves into treatment decisions, validation matters more than ever.
healthcareitnews.com/news/us…
Less pajama time starts with data clinicians can actually use. When the right information arrives structured and in context at the point of care, physicians spend less time hunting and more time with patients.
NEW BLOG POST 📖 Less Pajama Time, More Patient Time: How Better Interoperability Can Reduce Physician Administrative Burden. Read – healthit.gov/blog/health-dat… #Interoperability #HealthIT #PhysicianBurden
Before AI tools reach patients in Utah’s healthcare sandbox, independent evaluators now check them first. A smart standard, and one that should extend to the record itself: does the documentation back up each diagnosis?
Via @HealthITNews: healthcareitnews.com/news/ut…
AI coding tools can boost claim volume. But how many of those extra claims are wrong?
Medicomp CEO David Lareau explains why AI-generated codes could cost practices more than they earn, in @DOTmed Healthcare Business News.
dotmed.com/news/story/66848
Ideal interoperability isn’t just about moving data. It’s about delivering the right information, in a usable form, at the point of care. That’s how we give physicians time back.
What does ideal interoperability look like? 💡It is when information is automatically received, easy to find, and easy to use. Read our latest blog post to learn how better #interoperability may help reduce physician administrative burden: healthit.gov/blog/health-dat… #HealthIT #PhysicianBurden
Ambient AI is scaling fast. @DeptVetAffairs is bringing it to all VA medical centers under a contract worth up to $775.72M. The more notes AI drafts, the more structured, accurate clinical data matters.
Via @HealthITNews: healthcareitnews.com/news/ab…
With RADV audits expanding, every diagnosis needs supporting documentation in the clinician’s own words. Medicomp flags unsupported diagnoses in real time, at the point of care, not after the chart request arrives.
➡️ medicomp.com/
New @ONC_HealthIT awards target verifiable agentic AI and more consistent lab terminology. Trustworthy AI starts with structured, consistent clinical data.
healthcareitnews.com/news/hh… | @HealthITNews
A billing code isn’t a clinical diagnosis. In @hitconsultant, Medicomp CMO @medicompdoc makes the case for separating the two in the EHR, and explains why clinical detail depends on it.
hitconsultant.net/2026/10/12…
New @Peterson_HTI report: AI scribes coincided with a 5% rise in Level 5 visits. As AI speeds up documentation, every code should still be supported by what the clinician actually documented.
Via: @hitconsultant: hitconsultant.net/2026/10/14…
Great opportunity to recognize the innovators and changemakers shaping the future of medicine. Nominations for AMA Honors close Nov. 2.
The people pushing health care forward deserve to be recognized.
Nominate an outstanding physician, innovator, public health leader, communicator or changemaker for AMA Honors.
🏆 Tech Innovator
🏆 Public Health Champion
🏆 Excellence in Communication
Each honoree receives $25,000. Nominate by Nov. 2: spr.ly/6012BGf1Nr
Physicians are embracing AI, but they want proof first. 88% say safety and efficacy validation is key to broader use. Reliable clinical data is where that trust begins.
Via @Newsweek: newsweek.com/doctors-are-usi…


