Editorial Views  |   March 2017
Should We Fear Computers or the Lack of Them? Technology, Digital Quality Improvement, and the Care Redesign Process
Author Notes
  • From the Department of Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, Pennsylvania (A.F.S., J.A.G.); Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania (A.F.S., J.A.G.); and the Department of Anesthesiology and Perioperative Medicine, University of California Los Angeles, Los Angeles, California (M.C.).
  • Corresponding article on page 431.
    Corresponding article on page 431.×
  • Accepted for publication November 16, 2016.
    Accepted for publication November 16, 2016.×
  • Address correspondence to Dr. Simpao: simpaoa@email.chop.edu
Article Information
Editorial Views / Quality Improvement
Editorial Views   |   March 2017
Should We Fear Computers or the Lack of Them? Technology, Digital Quality Improvement, and the Care Redesign Process
Anesthesiology 3 2017, Vol.126, 369-370. doi:10.1097/ALN.0000000000001517
Anesthesiology 3 2017, Vol.126, 369-370. doi:10.1097/ALN.0000000000001517
IN this issue of Anesthesiology, Ehrenfeld et al.1  present a technology-based care redesign project to reduce process variation in intraoperative glucose to improve health outcomes in diabetic patients. Electronic health record (EHR) and perioperative information management systems have proliferated over the past 20 yr. Clinical decision support tools have been implemented within these systems to provide anesthesia providers with near–real-time alerts and post hoc reports to enhance patient care processes, documentation compliance, and resource utilization.2  The critical features for successful clinical decision support systems are well known and typically summarized as the five rights: delivering the right information, to the right person, in the right intervention format, through the right channel, and at the right time in workflow.3,4  However, there exists a paucity of anesthesia decision support research, perhaps because of the inherent challenges with these studies and inadequate resources, expertise, or experience among anesthesiology practices to develop decision support research platforms.2,5 
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