Digital Methodology for Mobile Clinical Decision Support Development in Long-Term Care.
Stud Health Technol Inform
; 290: 479-483, 2022 Jun 06.
Article
in English
| MEDLINE | ID: covidwho-1933565
ABSTRACT
The global COVID-19 pandemic has driven innovations in methods to sustain initiatives for the design, development, evaluation, and implementation of clinical support technology in long-term care settings while removing risk of infection for residents, family members, health care workers, researchers and technical professionals. We adapted traditional design and evaluation methodology for a mobile clinical decision support app - designated Mobile Application Information System for Integrated Evidence ("MAISIE") - to a completely digital design methodology that removes in-person contacts between the research team, developer, and nursing home staff and residents. We have successfully maintained project continuity for MAISIE app development with only minor challenges while working remotely. This digital design methodology can be implemented in projects where software can be installed without in-person technical support and remote work is feasible. Team skills, experience, and relationships are key considerations for adapting to digital environments and maintaining project momentum.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Decision Support Systems, Clinical
/
Mobile Applications
/
COVID-19
Type of study:
Experimental Studies
/
Prognostic study
Limits:
Humans
Language:
English
Journal:
Stud Health Technol Inform
Journal subject:
Medical Informatics
/
Health Services Research
Year:
2022
Document Type:
Article
Affiliation country:
SHTI220122
Similar
MEDLINE
...
LILACS
LIS