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An Adoption Study of a Clinical Reminder System in Ambulatory Care Using A Developmental Trajectory Approach

  • Carnegie Mellon University
  • West Penn Allegheny Health System

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this study, we assess 41 medical residents' acceptance and adoption of a clinical reminder system for chronic disease and preventive care management in the ambulatory care environment using a novel developmental trajectory approach. This group-based, semi-parametric statistical modeling method identifies distinct groups, following distinct usage trajectories, among those who recorded use of the reminder system within an evaluation period of 10 months. We trace system use within these groups over time using computer-generated logs and user satisfaction surveys. Our preliminary analysis of this small sample of users delineates three categories of users. Feedback from these categories of users is being used to re-engineer the application and adapt it better to their workflow and functionality requirements. Despite the small sample size in this particular study, we conclude that this methodology has considerable promise to provide new insights into system usability and adoption issues that may benefit clinical decision support systems as well as information systems more generally.

Original languageEnglish
Title of host publicationStudies in Health Technology and Informatics
EditorsMarius Fieschi, Enrico W. Coiera, Yu-Chuan Li
PublisherIOS Press BV
Pages1115-1119
Number of pages5
ISBN (Electronic)1586034448, 9781586034443
StatePublished - 2004
Event11th World Congress on Medical Informatics, MEDINFO 2004 - San Francisco, United States
Duration: Sep 7 2004 → Sep 11 2004

Publication series

NameStudies in Health Technology and Informatics
Volume107
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference11th World Congress on Medical Informatics, MEDINFO 2004
Country/TerritoryUnited States
CitySan Francisco
Period9/7/04 → 9/11/04

ASJC Scopus Subject Areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Keywords

  • Decision Support
  • Usage Analysis

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