Examples of Computer-based Clinical Decision Support

  • Computer screen reprint from Cincinnati Children's Hospital Medical Center's Integrating Clinical Information System (ICIS)resulting from physician selection of methylprednisolone. This alert suggests alternative medication choices to the clinician in place of methylprednisolone.
    From: J Am Med Inform Assoc. 2004 Jul-Aug;11(4):278-80


  • A sample computerized reminder message from Regenstrief, as it would appear to a physician. Physicians indicated their acceptance or rejection of each recommended therapy by choosing "order" or "omit." For the three therapies with few risks (influenza vaccination, pneumococcal vaccination, and subcutaneous heparin), we set the default to "order," so that the physician could accept the item simply by pressing the "enter" key. In the case of daily aspirin prophylaxis against coronary artery disease, we set the default to "omit," thereby requiring a more deliberate effort by the physician to change the status to "order." As a means of capturing the physician's attention briefly, we disabled the "escape" key and presented the reminders in a color scheme different from that used for physician-initiated orders.
    From: N Engl J Med. 2001 Sep 27;345(13):965-70


  • Screen Display of Brigham Integrated Computing System's Application for renal dose adjustment calculation.Screen that appears when clinician requests drug in which the dose or frequency may be modified for renal function.
    From: JAMA. 2001 Dec 12;286(22):2839-44


  • Screen print from Kaiser Permanente NWshows the electronic requisition and guideline that displays when a clinician orders an upper-GI radiology test.
    From: Proc AMIA Symp. 1999;:221-5


  • Sample screen from Partners Healthcare showing a browser-based, provider-centric, comprehensive results management applicationto help clinic physicians review and act upon test results in a safe, reliable, and efficient manner. The application, called the Results Manager, incorporates extensive decision support features to classify the degree of abnormality for each result, presents guidelines to help clinicians manage abnormal results, allows clinicians to generate result letters to patients with predefined, context-sensitive templates and prompts physicians to set reminders for future testing.
    From: J Biomed Inform. 2003 Feb-Apr;36(1-2):80-91


  • Sample screen from Vanderbilt University showing the notes editorinterface with a template automatically modified into a note outline from four different data sources for a 22-year-old woman.
    From: J Am Med Inform Assoc. 2004 Jul-Aug;11(4):310-5.
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    Ó 2004 The Informatics Review

    28 June 2004