Digital therapy in diabetes.

Digital therapy in diabetes.

J Diabetes. 2017 Sep 05;:

Authors: Cahn A, Akirov A, Raz I

Abstract
Diabetes care is largely dependent on patient self-management and empowerment, given that patients with diabetes must make numerous daily decisions of what to eat, when to exercise, and determine their insulin dose and timing if required. Additionally, patients and providers are generating vast amounts of data from many sources including electronic medical records, insulin pumps, sensors, glucometers, other wearables, as well as evolving genomic, proteomic, metabolomic and microbiomic data. Multiple digital tools and apps have been developed to assist patients to choose wisely, as well as enhance their compliance by employing motivational tools and incorporating incentives from social media and gaming techniques. The health care teams and health administrators benefit from digital developments which sift through the enormous amounts of patient generated data. Data is acquired, integrated, analyzed, and presented in a self-explanatory manner, highlighting important trends and items which require attention. Employment of decision support systems may propose data-driven actions which, for the most, require final approval by the patient or physician before execution, and once implemented may improve patient outcomes. The digital diabetes clinic aims to incorporate all digital patient data and provide individually tailored virtual or face-to-face visits to those persons who need them most. Digital diabetes care has demonstrated only modest HbA1c reduction in multiple studies, and borderline cost-effectiveness, although patient satisfaction appears to be increased. Better understanding of the barriers to digital diabetes care and identification of unmet needs may yield improved utilization of this evolving technology in a safe, effective and cost-saving manner.

PMID: 28872765 [PubMed - as supplied by publisher]

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