Evidence-based health informatics frameworks for applied use

Catherine K. Craven; Brad Doebbeling; Dominic Furniss; Richard J. Holden; Francis Lau; Laurie L. Novak

doi:10.3233/978-1-61499-635-4-77

Evidence-based health informatics frameworks for applied use

Catherine K. Craven, Brad Doebbeling, Dominic Furniss, Richard J. Holden, Francis Lau, Laurie L. Novak

Department of Population Health Sciences

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

9 Scopus citations

Abstract

Health Informatics frameworks have been created surrounding the implementation, optimization, adoption, use and evaluation of health information technology including electronic health record systems and medical devices. In this contribution, established health informatics frameworks are presented. Important considerations for each framework are its purpose, component parts, rigor of development, the level of testing and validation its undergone, and its limitations. In order to understand how to use a framework effectively, it's often necessary to seek additional explanation via literature, documentation, and discussions with the developers.

Original language	English (US)
Title of host publication	Evidence-Based Health Informatics
Subtitle of host publication	Promoting Safety and Efficiency through Scientific Methods and Ethical Policy
Publisher	IOS Press
Pages	77-89
Number of pages	13
Volume	222
ISBN (Electronic)	9781614996354
ISBN (Print)	9781614996347
DOIs	https://doi.org/10.3233/978-1-61499-635-4-77
State	Published - May 20 2016

Keywords

Evaluation studies as a topic
Frameworks
Implementation science
Medical informatics
Models theoretical
Qualitative research

ASJC Scopus subject areas

General Medicine

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10.3233/978-1-61499-635-4-77

Cite this

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AU - Doebbeling, Brad

AU - Furniss, Dominic

AU - Holden, Richard J.

AU - Lau, Francis

AU - Novak, Laurie L.

PY - 2016/5/20

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AB - Health Informatics frameworks have been created surrounding the implementation, optimization, adoption, use and evaluation of health information technology including electronic health record systems and medical devices. In this contribution, established health informatics frameworks are presented. Important considerations for each framework are its purpose, component parts, rigor of development, the level of testing and validation its undergone, and its limitations. In order to understand how to use a framework effectively, it's often necessary to seek additional explanation via literature, documentation, and discussions with the developers.

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KW - Implementation science

KW - Medical informatics

KW - Models theoretical

KW - Qualitative research

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ER -

Evidence-based health informatics frameworks for applied use

Abstract

Keywords

ASJC Scopus subject areas

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