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Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

Evaluating health information technology in community-based settings: lessons learned.

Lisa M Kern¹, Jessica S Ancker, Erika Abramson

¹Department of Public Health, Weill Cornell Medical College, New York, New York 10065, USA. lmk2003@med.cornell.edu

Journal of the American Medical Informatics Association : JAMIA

|August 3, 2011

Summary

This study shares lessons for community health information technology (IT) evaluations. Academic collaborations can improve IT implementation by adapting community-based participatory research principles.

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Area of Science:

Health Services Research
Information Science
Community Health

Background:

Implementing health information technology (IT) is a national priority for enhancing healthcare.
Community-based organizations often lack expertise in evaluating health IT initiatives.
Independent evaluation is crucial for successful community health IT adoption.

Purpose of the Study:

To describe lessons learned from an academic collaborative evaluating community-based health IT.
To provide practical recommendations for researchers conducting similar health IT evaluations.
To adapt community-based participatory research principles for health IT evaluation.

Main Methods:

Formed a multi-institutional academic collaborative for independent evaluation.
Adapted principles of community-based participatory research for health IT.
Documented lessons learned across four key themes: partnership structure, communication, implementation timing, and methodology.

Main Results:

Key lessons emerged regarding the structure of academic-community partnerships.
Effective communication strategies were identified as critical for successful collaboration.
The relationship between IT implementation timing and evaluation study design was explored.
Methodological adaptations were necessary for community-based health IT evaluations.

Conclusions:

Academic collaborations can effectively support community health IT evaluations.
Adapting community-based participatory research offers a valuable framework.
Practical recommendations are provided to guide future health IT evaluation research.