eagle-i University of Hawaii at ManoaUniversity of Hawaii at Manoa
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Comprehensive Disease Management Platform

eagle-i ID

http://hawaii.eagle-i.net/i/0000012d-f3c8-b1f2-d62f-514680000000

Resource Type

  1. Software

Properties

  1. Resource Description
    The Comprehensive Disease Management Platform (CDMP) was developed over the last 12 years with funding from the Department of Defense lead by the Joslin Diabetes Center (PI for this was Dr. Sven-Erik Bursell now at UH Manoa) with participation from Walter Reed Medical Center, Boston VA, the Indian Health Services and Tripler Medical Center/University of Hawaii School of Medicine. The CDMP is an open source software application that aggregates data from a variety of sources including EHR's, lab systems, and remote monitoring data from the home. It is at its core a clinical data repository with robust registry function. It provides clinical decision support, alerts and reminders as well as risk assessment engines to help prioritize management. The system also currently meets the requirement for the patient-centered medical home. It currently has unidirectional interfaces with several EHRs and is designed to accept information from any EHR. The platform supports chronic disease management. Programs are currently being developed for multiple other diseases. It is also now licensed as open source software. This program is developed primarily with a research focus. The intention is to have an expanded user group that would direct and expand the functionality.
  2. Additional Name
    CDMP
  3. Contact
    Bursell, Sven-Erik, Ph.D.
  4. Manufacturer
    Bursell, Sven-Erik, Ph.D.
  5. Used by
    Bursell Lab
  6. Operating System
    All
  7. Data Input
    electrophysiology data
  8. Data Output
    meta data
  9. Software purpose
    Decision tree induction objective
  10. Software license
    Open source software license
 
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Provenance Metadata About This Resource Record
Copyright © 2016 by the President and Fellows of Harvard College
The eagle-i Consortium is supported by NIH Grant #5U24RR029825-02 / Copyright 2016