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Thomson Reuters and CareEvolution Collaborate to Empower Physicians to Improve Care Coordination


Innovative Application Groups Fragmented Care Episodes Into Clinically Relevant Disease Clusters

Ann Arbor, MI .— When doctors review a patient’s medical records, the information is presented chronologically and not organized in a meaningful way.

Thomson Reuters and CareEvolution are working together to deliver an alternative — an application that groups patient data by disease or medical episode. This Web-based “medical episode grouper” provides current patient information — logically organized, at the point of care — to help physicians make sound medical decisions and enhance disease management and quality of care.

CareEvolution is a leading provider of secure interoperability solutions that link diverse technology platforms for medical records. Under this collaboration, output from the Medical Episode Grouper (MEG), developed by Thomson Reuters, would be integrated into CareEvolution’s clinical cockpit to deliver comprehensive patient medical histories of all medications and treatments.

“Caregivers tell us they need access to a community-wide health history for a patient, but they are already overwhelmed with too much information. Dumping more data from more clinics and hospitals onto the doctor’s desktop is not going to be accepted or effective,” said Vik Kheterpal, M.D., principal at CareEvolution.

“Organizing the discrete, fragmented, healthcare data we get from medical claims, acute and ambulatory electronic medical records and other sources into disease-based clusters is critical to deal with this cognitive overload,” he said. “Delivering patient information in this way enables clinicians to easily find the links between diseases and complications so they can better manage the patient’s care.”

Treatment of a given disease or medical complaint typically involves several healthcare events — such as a visit with a primary care doctor, prescriptions, visits to urgent care centers or the emergency room, consultations with specialists and perhaps admission to a hospital or surgery center.

CareEvolution uses a federated data model to pull patient data from different sources into a single unified view. Under this collaboration, it would use the web-based MEG service to produce a clinically grouped view — streamlining information that represents a patient’s lifetime of healthcare events across pharmacy, laboratory, acute care, and ambulatory care settings.

“MEG enables physicians to quickly grasp the complexity and severity of a patient’s condition,” said Jon Newpol, executive vice president for the Healthcare business of Thomson Reuters. “Coupled with CareEvolution’s software, this patient profile can provide physicians with a timely, easy-to-use summary of their patients’ medical care.”


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