Digital Methodology for Mobile Clinical Decision Support Development in Long-Term Care

Stud Health Technol Inform. 2022 Jun 6:290:479-483. doi: 10.3233/SHTI220122.

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: Clinical Decision Support; Mobile Applications; Technology Development.

MeSH terms

  • COVID-19*
  • Decision Support Systems, Clinical*
  • Health Personnel
  • Humans
  • Long-Term Care
  • Mobile Applications*
  • Pandemics