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Digital Methodology for Mobile Clinical Decision Support Development in Long-Term Care.
Gallimore, Malaika R; Howland, Chelsea; Chase, Jo-Ana D; Grimsley, Amy; Emezue, Chuka; Boles, Katrina; Anbari, Allison B; Sherwin, LeeAnne B; Vogelsmeier, Amy; Popejoy, Lori; Rantz, Marilyn J; Reeder, Blaine.
  • Gallimore MR; Sinclair School of Nursing, University of Missouri, Columbia, Missouri, USA.
  • Howland C; Sinclair School of Nursing, University of Missouri, Columbia, Missouri, USA.
  • Chase JD; Sinclair School of Nursing, University of Missouri, Columbia, Missouri, USA.
  • Grimsley A; Sinclair School of Nursing, University of Missouri, Columbia, Missouri, USA.
  • Emezue C; Sinclair School of Nursing, University of Missouri, Columbia, Missouri, USA.
  • Boles K; MU Institute for Data Science and Informatics, University of Missouri, Columbia, Missouri, USA.
  • Anbari AB; Sinclair School of Nursing, University of Missouri, Columbia, Missouri, USA.
  • Sherwin LB; Sinclair School of Nursing, University of Missouri, Columbia, Missouri, USA.
  • Vogelsmeier A; Sinclair School of Nursing, University of Missouri, Columbia, Missouri, USA.
  • Popejoy L; Sinclair School of Nursing, University of Missouri, Columbia, Missouri, USA.
  • Rantz MJ; Sinclair School of Nursing, University of Missouri, Columbia, Missouri, USA.
  • Reeder B; Sinclair School of Nursing, University of Missouri, Columbia, Missouri, USA.
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.
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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

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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