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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Great to see standard terminology front and center in #LEAPinHealthIT. AI agents are only as reliable as the clinical data they work with. Congrats to @MedStarHealth and @Regenstrief!
This just in! 📰 We’re excited to announce the 2026 #LEAPinHealthIT awardees, @MedStarHealth & @Regenstrief! The awardees’ projects are furthering LEAP goals in the following areas: (1) accelerate the use of agentic #AI solutions in clinical care/clinical trials; and (2) assess laboratory #interoperability gaps to improve small, independent laboratories' adoption and use of standard terminology. Learn more: healthit.gov/news/hhs-announ…
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The @DeptVetAffairs is expanding ambient AI across its medical centers under a contract worth up to $775.72M over 5 years. As AI drafts more notes, accurate, structured clinical data matters more than ever. Via @HealthcareITNews: healthcareitnews.com/news/ab…
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Keeping the next generation of clinicians starts with giving them tools that work with them, not against them. Less time fighting the EHR means more time for patients.
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AI can capture clinical notes instantly. But if it's built on the same unvalidated data, errors just travel faster. Medicomp's David Lareau on why data needs to be validated at the source. Via @ForbesTechCncl: forbes.com/councils/forbeste…
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By Jan. 1, 2027, payers must support a FHIR-based prior auth API. But if staff still build medical necessity documentation by hand from narrative notes, the API alone won’t speed things up. @healthtechjames on fixing it at the source: medicomp.com/the-coding-prob…
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Federal AI safety rules may be coming. 26 state attorneys general are pushing Congress to act. For clinical AI, transparency and clinician oversight shouldn't wait for a mandate. They belong in the design from the start. Via @BeckerHealthcare: beckershospitalreview.com/he…
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Interoperability got the records moving. Making them usable is the next job. Cleaning up messy data after the fact helps, but the bigger win is documenting it right the first time.
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