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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.
Artículo en Inglés | 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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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: Sistemas de Apoyo a Decisiones Clínicas / Aplicaciones Móviles / COVID-19 Tipo de estudio: Estudio experimental / Estudio pronóstico Límite: Humanos Idioma: Inglés Revista: Stud Health Technol Inform Asunto de la revista: Informática Médica / Investigación sobre Servicios de Salud Año: 2022 Tipo del documento: Artículo País de afiliación: SHTI220122

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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: Sistemas de Apoyo a Decisiones Clínicas / Aplicaciones Móviles / COVID-19 Tipo de estudio: Estudio experimental / Estudio pronóstico Límite: Humanos Idioma: Inglés Revista: Stud Health Technol Inform Asunto de la revista: Informática Médica / Investigación sobre Servicios de Salud Año: 2022 Tipo del documento: Artículo País de afiliación: SHTI220122