MEDICOMP SYSTEMS @ VIVE 2023

DIAGNOSTICALLY CONNECTING DATA @ VIVE 2023 : BOOTH V-2128

VIVE 2023 • NASHVILLE, TN March 26-29, 2023 Booth V-2128

Is Your Documentation Audit Proof?

With CMS’ increased scrutiny on risk-based reimbursement through Medicare Advantage and similar programs, providers must have audit-proof documentation that accurately and fully captures details of a patient’s condition for risk assessment.

Medicomp’s Clinical AI solutions facilitate audit-proof documentation, as well as diagnostically connect data for:

  • Clinical Documentation Improvement (CDI)
  • Clinical Quality Measures (CQMs)
  • HCC coding and risk adjustment (HCC/RAF)
  • Guidelines and pathways
  • Clinical decision support

Sign up now!

    To reserve your space to try Quippe or to schedule a 15-minute demo with the Medicomp team, simply complete the form below. If you have any questions, please email marketing@medicomp.com








    Quippe Clinical Lens

    Today’s healthcare problem isn’t a lack of data; it’s a lack of usable data. Quippe® Clinical Lens uses MEDCIN's intelligence links to identify and interpret disorganized, complex arrays of medical data and transforms that data into actionable information and clinical insights – all within the physician’s workflow.

    Request a demo

    Recent Posts

    The Health Care Blog: David Lareau, CEO, Medicomp

    The Health Care Blog interviews David Lareau, CEO of Medicomp Systems regarding Medicomp’s clinical intelligence offering, clinical documentation, and how generative AI is changing the clinical documentation landscape. See the …Continue

    Healthcare Finance News: Oversight needed to ensure LLMs are clinically useful

    Healthcare Finance News covers Dr. Jay Anders, CMO of Medicomp Systems’ interview with HIMSSTV regarding the need for LLM oversight and guardrails in healthcare. See the coverage here. 

    Forbes: AI’s Impact On Patient Care, Clinical Coding And Quality Metrics

    David Lareau, CEO of Medicomp Systems writes for Forbes on AI’s potential in clinical care, and the challenges related to clinical coding and clinical quality measures. Read the full article …Continue