Literature DB >> 18752988

A PACS maturity model: a systematic meta-analytic review on maturation and evolvability of PACS in the hospital enterprise.

Rogier van de Wetering1, Ronald Batenburg.   

Abstract

INTRODUCTION: With PACS and medical imaging technology maturing, the importance of organizational maturity and effective deployment of PACS in the hospital enterprise are becoming significant.
OBJECTIVE: The objective of this paper is twofold. Firstly, PACS literature on maturity and evolvability in the hospital enterprise is analyzed, resulting in an overview of the relevant developments concerning maturity of PACS. Secondly, this paper looks at the development of a maturity model for PACS technology. METHODS AND
RESULTS: Using structured search queries, we identified 34 papers reporting relevant aspects of maturity and evolvability of PACS. From the results of a meta-analytic review on PACS maturity and evolvability, we propose a model--the PACS maturity model (PMM)--that describes five levels of PACS maturity and the corresponding process focus.
CONCLUSION: We argue that this model can help hospitals to gain insights into their (strategic) objectives for growth and maturity with regard to PACS, the electronic patient record (EPR) and other health information systems. Moreover, the proposed model can be applied as a valuable tool for organizational assessments, monitoring and benchmarking purposes. Hence, the PMM contributes to an integral alignment model for PACS technology.

Entities:  

Mesh:

Year:  2008        PMID: 18752988     DOI: 10.1016/j.ijmedinf.2008.06.010

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  19 in total

1.  Evolutionistic or revolutionary paths? A PACS maturity model for strategic situational planning.

Authors:  Rogier van de Wetering; Ronald Batenburg; Reeva Lederman
Journal:  Int J Comput Assist Radiol Surg       Date:  2010-04-09       Impact factor: 2.924

2.  Towards an Encompassing Maturity Model for the Management of Hospital Information Systems.

Authors:  João Vidal de Carvalho; Álvaro Rocha; José Vasconcelos
Journal:  J Med Syst       Date:  2015-08-09       Impact factor: 4.460

3.  Towards a theory of PACS deployment: an integrative PACS maturity framework.

Authors:  Rogier van de Wetering; Ronald Batenburg
Journal:  J Digit Imaging       Date:  2014-06       Impact factor: 4.056

Review 4.  Maturity Models of Healthcare Information Systems and Technologies: a Literature Review.

Authors:  João Vidal Carvalho; Álvaro Rocha; António Abreu
Journal:  J Med Syst       Date:  2016-04-15       Impact factor: 4.460

Review 5.  Information System Maturity Models in Healthcare.

Authors:  Jorge Gomes; Mário Romão
Journal:  J Med Syst       Date:  2018-10-16       Impact factor: 4.460

6.  Modifying clinicians use of PACS imaging.

Authors:  Madusha Chandratilleke; Stepfen Honeybul
Journal:  J Digit Imaging       Date:  2013-12       Impact factor: 4.056

Review 7.  The impact of PACS on clinician work practices in the intensive care unit: a systematic review of the literature.

Authors:  Isla M Hains; Andrew Georgiou; Johanna I Westbrook
Journal:  J Am Med Inform Assoc       Date:  2012-02-09       Impact factor: 4.497

Review 8.  The impact of eHealth on the quality and safety of health care: a systematic overview.

Authors:  Ashly D Black; Josip Car; Claudia Pagliari; Chantelle Anandan; Kathrin Cresswell; Tomislav Bokun; Brian McKinstry; Rob Procter; Azeem Majeed; Aziz Sheikh
Journal:  PLoS Med       Date:  2011-01-18       Impact factor: 11.069

9.  Why is it difficult to implement e-health initiatives? A qualitative study.

Authors:  Elizabeth Murray; Joanne Burns; Carl May; Tracy Finch; Catherine O'Donnell; Paul Wallace; Frances Mair
Journal:  Implement Sci       Date:  2011-01-19       Impact factor: 7.327

10.  A situational alignment framework for PACS.

Authors:  Rogier van de Wetering; Ronald Batenburg; Matthijs Oudkerk; Peter van Ooijen; Sjaak Brinkkemper; Wim Scheper
Journal:  J Digit Imaging       Date:  2011-12       Impact factor: 4.056

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