Our clinical engine works seamlessly with any #EHR to deliver diagnostically relevant & actionable information to clinicians at the #PointOfCare. | #UsableData
"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:
🔎 https://t.co/0mwo8cl1zO
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.
🔎 https://t.co/H2EupzgppV
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.
https://t.co/58gkFoSJLY
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 – https://t.co/I8RgZceqJe #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: https://t.co/ECi90xThVm
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.
https://t.co/S5U9uiGbOf
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: https://t.co/GB5GGUNKgr #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: https://t.co/aX3uFv29wb
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.
➡️ https://t.co/H2EupzgXft
New @ONC_HealthIT awards target verifiable agentic AI and more consistent lab terminology. Trustworthy AI starts with structured, consistent clinical data.
https://t.co/x33g4yzxu5 | @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.
https://t.co/KfUCBnA8ga
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: https://t.co/3bISYyF4oK
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: https://t.co/xq8VuTXmJp
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: https://t.co/g2zURE87tS
AI can draft a note in seconds. But does the note actually support every diagnosis in it?
Medicomp validates AI output against the clinician’s own documentation in real time, before it’s saved.
🔎 Learn more: https://t.co/H2EupzgXft
.@CMSGov is expanding RADV audits from about 60 Medicare Advantage contracts a year to all of the roughly 550 eligible contracts. Audit readiness starts at the point of care, with diagnoses validated against evidence.
@hcittoday reports: https://t.co/sZ2uVGArcb
Should AI be writing prescriptions? Our CMO @medicompdoc says AI used in patient care needs licensing, vetting and accountability. Read his take in the Journal of @AHIMAResources:
https://t.co/0mwo8cl1zO
Utah now requires independent evaluation of AI tools in its healthcare sandbox before deployment. For clinical AI, validation should also confirm every diagnosis is supported by the clinician’s own documentation.
@HealthITNews has the story: https://t.co/ECi90xThVm
The debate over medical AI keeps coming back to one question: can clinicians trust what the tools tell them? Clinical AI should be validated against evidence and kept under physician oversight.
AI should strengthen physician judgment, not replace it. The right oversight keeps patients safe and clinicians in control, and it all starts with clinical data you can trust.
Via @HC_Finance:
https://t.co/YaPgo40cbf