Cargando…

Taxonomy of delays in the implementation of hospital computerized physician order entry and clinical decision support systems for prescribing: a longitudinal qualitative study

BACKGROUND: Implementation delays are common in health information technology (HIT) projects. In this paper, we sought to explore the reasons for delays in implementing major hospital-based HIT, through studying computerized physician order entry (CPOE) and clinical decision support (CDS) systems fo...

Descripción completa

Detalles Bibliográficos
Autores principales: Mozaffar, Hajar, Cresswell, Kathrin M., Lee, Lisa, Williams, Robin, Sheikh, Aziz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4766744/
https://www.ncbi.nlm.nih.gov/pubmed/26911288
http://dx.doi.org/10.1186/s12911-016-0263-x
_version_ 1782417722348404736
author Mozaffar, Hajar
Cresswell, Kathrin M.
Lee, Lisa
Williams, Robin
Sheikh, Aziz
author_facet Mozaffar, Hajar
Cresswell, Kathrin M.
Lee, Lisa
Williams, Robin
Sheikh, Aziz
author_sort Mozaffar, Hajar
collection PubMed
description BACKGROUND: Implementation delays are common in health information technology (HIT) projects. In this paper, we sought to explore the reasons for delays in implementing major hospital-based HIT, through studying computerized physician order entry (CPOE) and clinical decision support (CDS) systems for prescribing and to develop a provisional taxonomy of causes of implementation delays. METHODS: We undertook a series of longitudinal, qualitative case studies to investigate the implementation and adoption of CPOE and CDS systems for prescribing in hospitals in the U.K. We used a combination of semi-structured interviews from six case study sites and two whole day expert roundtable discussions to collect data. Interviews were carried out with users, implementers and suppliers of CPOE/CDS systems. We used thematic analysis to examine the results, drawing on perspectives surrounding the biography of artefacts. RESULTS: We identified 15 major factors contributing to delays in implementation of CPOE and CDS systems. These were then categorized in a two-by-two delay classification matrix: one axis distinguishing tactical versus unintended causes of delay, and the second axis illustrating internal i.e., (the adopting hospital) versus external (i.e., suppliers, other hospitals, policymakers) related causes. CONCLUSIONS: Our taxonomy of delays in HIT implementation should enable system developers, implementers and policymakers to better plan and manage future implementations. More detailed planning at the outset, considering long-term strategies, sustained user engagement, and phased implementation approaches appeared to reduce the risks of delays. It should however be noted that whilst some delays are likely to be preventable, other delays cannot be easily avoided and taking steps to minimize these may negatively affect the longer-term use of the system.
format Online
Article
Text
id pubmed-4766744
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-47667442016-02-26 Taxonomy of delays in the implementation of hospital computerized physician order entry and clinical decision support systems for prescribing: a longitudinal qualitative study Mozaffar, Hajar Cresswell, Kathrin M. Lee, Lisa Williams, Robin Sheikh, Aziz BMC Med Inform Decis Mak Research Article BACKGROUND: Implementation delays are common in health information technology (HIT) projects. In this paper, we sought to explore the reasons for delays in implementing major hospital-based HIT, through studying computerized physician order entry (CPOE) and clinical decision support (CDS) systems for prescribing and to develop a provisional taxonomy of causes of implementation delays. METHODS: We undertook a series of longitudinal, qualitative case studies to investigate the implementation and adoption of CPOE and CDS systems for prescribing in hospitals in the U.K. We used a combination of semi-structured interviews from six case study sites and two whole day expert roundtable discussions to collect data. Interviews were carried out with users, implementers and suppliers of CPOE/CDS systems. We used thematic analysis to examine the results, drawing on perspectives surrounding the biography of artefacts. RESULTS: We identified 15 major factors contributing to delays in implementation of CPOE and CDS systems. These were then categorized in a two-by-two delay classification matrix: one axis distinguishing tactical versus unintended causes of delay, and the second axis illustrating internal i.e., (the adopting hospital) versus external (i.e., suppliers, other hospitals, policymakers) related causes. CONCLUSIONS: Our taxonomy of delays in HIT implementation should enable system developers, implementers and policymakers to better plan and manage future implementations. More detailed planning at the outset, considering long-term strategies, sustained user engagement, and phased implementation approaches appeared to reduce the risks of delays. It should however be noted that whilst some delays are likely to be preventable, other delays cannot be easily avoided and taking steps to minimize these may negatively affect the longer-term use of the system. BioMed Central 2016-02-24 /pmc/articles/PMC4766744/ /pubmed/26911288 http://dx.doi.org/10.1186/s12911-016-0263-x Text en © Mozaffar et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Mozaffar, Hajar
Cresswell, Kathrin M.
Lee, Lisa
Williams, Robin
Sheikh, Aziz
Taxonomy of delays in the implementation of hospital computerized physician order entry and clinical decision support systems for prescribing: a longitudinal qualitative study
title Taxonomy of delays in the implementation of hospital computerized physician order entry and clinical decision support systems for prescribing: a longitudinal qualitative study
title_full Taxonomy of delays in the implementation of hospital computerized physician order entry and clinical decision support systems for prescribing: a longitudinal qualitative study
title_fullStr Taxonomy of delays in the implementation of hospital computerized physician order entry and clinical decision support systems for prescribing: a longitudinal qualitative study
title_full_unstemmed Taxonomy of delays in the implementation of hospital computerized physician order entry and clinical decision support systems for prescribing: a longitudinal qualitative study
title_short Taxonomy of delays in the implementation of hospital computerized physician order entry and clinical decision support systems for prescribing: a longitudinal qualitative study
title_sort taxonomy of delays in the implementation of hospital computerized physician order entry and clinical decision support systems for prescribing: a longitudinal qualitative study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4766744/
https://www.ncbi.nlm.nih.gov/pubmed/26911288
http://dx.doi.org/10.1186/s12911-016-0263-x
work_keys_str_mv AT mozaffarhajar taxonomyofdelaysintheimplementationofhospitalcomputerizedphysicianorderentryandclinicaldecisionsupportsystemsforprescribingalongitudinalqualitativestudy
AT cresswellkathrinm taxonomyofdelaysintheimplementationofhospitalcomputerizedphysicianorderentryandclinicaldecisionsupportsystemsforprescribingalongitudinalqualitativestudy
AT leelisa taxonomyofdelaysintheimplementationofhospitalcomputerizedphysicianorderentryandclinicaldecisionsupportsystemsforprescribingalongitudinalqualitativestudy
AT williamsrobin taxonomyofdelaysintheimplementationofhospitalcomputerizedphysicianorderentryandclinicaldecisionsupportsystemsforprescribingalongitudinalqualitativestudy
AT sheikhaziz taxonomyofdelaysintheimplementationofhospitalcomputerizedphysicianorderentryandclinicaldecisionsupportsystemsforprescribingalongitudinalqualitativestudy
AT taxonomyofdelaysintheimplementationofhospitalcomputerizedphysicianorderentryandclinicaldecisionsupportsystemsforprescribingalongitudinalqualitativestudy