Implementation of App-Based Diabetes Medication Management: Outpatient and Perioperative Clinical Decision Support

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. Summary 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..

Medienart:

Artikel

Erscheinungsjahr:

2021

Erschienen:

2021

Enthalten in:

Zur Gesamtaufnahme - volume:21

Enthalten in:

Current diabetes reports - 21(2021), 12 vom: Dez.

Sprache:

Englisch

Beteiligte Personen:

Jang, Jeehoon [VerfasserIn]
Colletti, Ashley A. [VerfasserIn]
Ricklefs, Colbey [VerfasserIn]
Snyder, Holly J. [VerfasserIn]
Kardonsky, Kimberly [VerfasserIn]
Duggan, Elizabeth W. [VerfasserIn]
Umpierrez, Guillermo E. [VerfasserIn]
O’Reilly-Shah, Vikas N. [VerfasserIn]

Links:

Volltext [lizenzpflichtig]

Themen:

Clinical decision support for diabetes
Diabetes management
Diabetes treatment recommendations
Mobile decision support for diabetes
Perioperative diabetes management

Anmerkungen:

© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021

doi:

10.1007/s11892-021-01421-4

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

OLC2077634391