Jeehoon Jang1, Ashley A Colletti2, Colbey Ricklefs3, Holly J Snyder2, Kimberly Kardonsky3, Elizabeth W Duggan4, Guillermo E Umpierrez5, Vikas N O'Reilly-Shah6. 1. Department of Clinical Informatics, University of Washington School of Medicine, Seattle, WA, USA. 2. Department of Anesthesiology & Pain Medicine, University of Washington School of Medicine, RR450, 1959 NE Pacific St, Seattle, WA, 98195, USA. 3. Department of Family Medicine, University of Washington School of Medicine, Seattle, WA, USA. 4. Department of Anesthesiology and Perioperative Medicine, University of Alabama Birmingham School of Medicine, Birmingham, AL, USA. 5. Division of Endocrinology, Metabolism, and Lipids, Emory University School of Medicine, Atlanta, GA, USA. 6. Department of Anesthesiology & Pain Medicine, University of Washington School of Medicine, RR450, 1959 NE Pacific St, Seattle, WA, 98195, USA. voreill@uw.edu.
Abstract
PURPOSE OF REVIEW: Outpatient and perioperative therapeutic decision making for patients with diabetes involves increasingly complex medical-decision making due to rapid advances in knowledge and treatment modalities. We sought to review mobile decision support tools available to clinicians for this essential and increasingly difficult task, and to highlight the development and implementation of novel mobile applications for these purposes. RECENT FINDINGS: We found 211 mobile applications related to diabetes from the search, but only five were found to provide clinical decision support for outpatient diabetes management and none for perioperative decision support. We found a dearth of tools for clinicians to navigate these tasks. We highlight key aspects for effective development of future diabetes decision support. These include just-in-time availability, respect for the five rights of clinical decision support, and integration with clinical workflows including the electronic medical record.
PURPOSE OF REVIEW: Outpatient and perioperative therapeutic decision making for patients with diabetes involves increasingly complex medical-decision making due to rapid advances in knowledge and treatment modalities. We sought to review mobile decision support tools available to clinicians for this essential and increasingly difficult task, and to highlight the development and implementation of novel mobile applications for these purposes. RECENT FINDINGS: We found 211 mobile applications related to diabetes from the search, but only five were found to provide clinical decision support for outpatient diabetes management and none for perioperative decision support. We found a dearth of tools for clinicians to navigate these tasks. We highlight key aspects for effective development of future diabetes decision support. These include just-in-time availability, respect for the five rights of clinical decision support, and integration with clinical workflows including the electronic medical record.
Keywords:
Clinical decision support for diabetes; Diabetes management; Diabetes treatment recommendations; Mobile decision support for diabetes; Perioperative diabetes management
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