Complexity and the science of implementation in health IT-Knowledge gaps and future visions

被引:64
作者
Abbott, Patricia A. [1 ,2 ]
Foster, Joanne [3 ]
Marin, Heimar de Fatima [4 ]
Dykes, Patricia C. [5 ,6 ,7 ]
机构
[1] Univ Michigan, Sch Nursing, Div Nursing Business & Hlth Syst, Ann Arbor, MI 48109 USA
[2] Univ Michigan, Sch Nursing, Off Global Outreach, Ann Arbor, MI 48109 USA
[3] Queensland Univ Technol, Sch Nursing, Brisbane, Qld 4001, Australia
[4] Univ Fed Sao Paulo, Sch Nursing, Sao Paulo, Brazil
[5] Brigham & Womens Hosp, Ctr Patient Safety Res & Practice, Boston, MA 02115 USA
[6] Brigham & Womens Hosp, Ctr Nursing Excellence, Boston, MA 02115 USA
[7] Harvard Univ, Sch Med, Boston, MA USA
关键词
Implementation science; Complexity Implementation of health; information technology; Consolidated framework for implementation research; ACUTE-CARE HOSPITALS; ORDER ENTRY; FRAMEWORK; FOUNDATION; PROVIDER; FIDELITY; QUALITY; PATIENT; SYSTEMS; DESIGN;
D O I
10.1016/j.ijmedinf.2013.10.009
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Objectives: The intent of this paper is in the examination of health IT implementation processes - the barriers to and facilitators of successful implementation, identification of a beginning set of implementation best practices, the identification of gaps in the health IT implementation body of knowledge, and recommendations for future study and application. Methods: A literature review resulted in the identification of six health IT related implementation best practices which were subsequently debated and clarified by participants attending the NI2012 Research Post Conference held in Montreal in the summer of 2012. Using the framework for implementation research (CFIR) to guide their application, the six best practices were applied to two distinct health IT implementation studies to assess their applicability. Results: Assessing the implementation processes from two markedly diverse settings illustrated both the challenges and potentials of using standardized implementation processes. In support of what was discovered in the review of the literature, "one size fits all" in health IT implementation is a fallacy, particularly when global diversity is added into the mix. At the same time, several frameworks show promise for use as "scaffolding" to begin to assess best practices, their distinct dimensions, and their applicability for use. Conclusions: Health IT innovations, regardless of the implementation setting, requires a close assessment of many dimensions. While there is no "one size fits all", there are commonalities and best practices that can be blended, adapted, and utilized to improve the process of implementation. This paper examines health IT implementation processes and identifies a beginning set of implementation best practices, which could begin to address gaps in the health IT implementation body of knowledge. (C) 2013 Elsevier Ireland Ltd. All rights reserved.
引用
收藏
页码:E12 / E22
页数:11
相关论文
共 40 条
[1]   Dynamic adaptation process to implement an evidence-based child maltreatment intervention [J].
Aarons, Gregory A. ;
Green, Amy E. ;
Palinkas, Lawrence A. ;
Self-Brown, Shannon ;
Whitaker, Daniel J. ;
Lutzker, John R. ;
Silovsky, Jane F. ;
Hecht, Debra B. ;
Chaffin, Mark J. .
IMPLEMENTATION SCIENCE, 2012, 7
[2]   Advancing a Conceptual Model of Evidence-Based Practice Implementation in Public Service Sectors [J].
Aarons, Gregory A. ;
Hurlburt, Michael ;
Horwitz, Sarah McCue .
ADMINISTRATION AND POLICY IN MENTAL HEALTH AND MENTAL HEALTH SERVICES RESEARCH, 2011, 38 (01) :4-23
[3]  
[Anonymous], HLTH AFFAIRS, DOI DOI 10.1377/HLTHAFF.2012.0693
[4]   Translating Clinical Informatics Interventions into Routine Clinical Care: How Can the RE-AIM Framework Help? [J].
Bakken, Suzanne ;
Ruland, Cornelia M. .
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2009, 16 (06) :889-897
[5]  
Berg M, 2003, METHOD INFORM MED, V42, P297
[6]   A conceptual framework for implementation fidelity [J].
Carroll, Christopher ;
Patterson, Malcolm ;
Wood, Stephen ;
Booth, Andrew ;
Rick, Jo ;
Balain, Shashi .
IMPLEMENTATION SCIENCE, 2007, 2
[7]   A Framework for Measuring Fidelity of Implementation: A Foundation for Shared Language and Accumulation of Knowledge [J].
Century, Jeanne ;
Rudnick, Mollie ;
Freeman, Cassie .
AMERICAN JOURNAL OF EVALUATION, 2010, 31 (02) :199-218
[8]   Implementation of computerized provider order entry in a neonatal intensive care unit: Impact on admission workflow [J].
Chapman, Alison K. ;
Lehmann, Christoph U. ;
Donohue, Pamela K. ;
Aucott, Susan W. .
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 2012, 81 (05) :291-295
[9]   Measuring factors affecting implementation of health innovations: a systematic review of structural, organizational, provider, patient, and innovation level measures [J].
Chaudoir, Stephenie R. ;
Dugan, Alicia G. ;
Barr, Colin H. I. .
IMPLEMENTATION SCIENCE, 2013, 8
[10]   The implementation of electronic health records: A case study of bush computing the Ngaanyatjarra Lands [J].
Cripps, Helen ;
Standing, Craig .
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 2011, 80 (12) :841-848