Literature DB >> 21115391

Impact of IT-supported clinical pathways on medical staff satisfaction. A prospective longitudinal cohort study.

Jochen Schuld1, Thilo Schäfer, Stefan Nickel, Peter Jacob, Martin K Schilling, Sven Richter.   

Abstract

INTRODUCTION: Clinical pathways (CPs) have been evaluated with regard to process optimization, economic effects, quality of care, patient satisfaction and staff satisfaction. IT- (information technology) supported CPs, integrated within the HIS (hospital information system), have been implemented in our department in 2004 for the first time world-wide. Herein, we describe the effect of this new concept on medical staff satisfaction.
METHODS: A prospective anonymous and voluntary survey with standardized questionnaires was performed annually from 2006 until 2009 evaluating staff satisfaction concerning CPs. Questions comprised satisfaction with the software, staff's attitude towards CPs and the impact of CPs on work-related processes.
RESULTS: Within the observation period the term "clinical pathways" became more common among doctors and nurses. Knowledge of the aims of CPs increased significantly in nursing staff (43.4-74.5%), whereas doctor's knowledge was on a constant high level. Standardization, process facilitation and cost effectiveness were the most claimed goals of CPs. Comprehensibility of the single steps within CPs was on a constant high level over the observation period. Generally, graphical layout and usability of CPs ranged on a very high satisfaction level. Acceptability of IT-supported CPs is independent from staffs computer knowledge.
CONCLUSIONS: Staff satisfaction with IT-supported CPs needs to take into account the job characteristics of the different professional groups. IT-supported CPs are leading to a high staff satisfaction, the aims of CPs are widely understood by medical employees. IT-supported CPs may ameliorate staff satisfaction and thereby enhance workflow efficiencies.
Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.

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Year:  2010        PMID: 21115391     DOI: 10.1016/j.ijmedinf.2010.10.012

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


  8 in total

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Authors:  Zhengxing Huang; Xudong Lu; Huilong Duan
Journal:  J Med Syst       Date:  2013-02-08       Impact factor: 4.460

3.  Using recommendation to support adaptive clinical pathways.

Authors:  Zhengxing Huang; Xudong Lu; Huilong Duan
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4.  A Primer on Clinical Pathways.

Authors:  Rachel Hipp; Erik Abel; Robert J Weber
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5.  [Comparison of current critical care information systems from the perspective of clinical users : Summary of the results of a German nationwide survey].

Authors:  K Suchodolski; F von Dincklage; G Lichtner; W Friesdorf; B Podtschaske; M Ragaller
Journal:  Anaesthesist       Date:  2019-06-05       Impact factor: 1.041

6.  A Method to Evaluate Critical Factors for Successful Implementation of Clinical Pathways.

Authors:  W Dong; Z Huang
Journal:  Appl Clin Inform       Date:  2015-11-04       Impact factor: 2.342

7.  Modelling and performance analysis of clinical pathways using the stochastic process algebra PEPA.

Authors:  Xian Yang; Rui Han; Yike Guo; Jeremy Bradley; Benita Cox; Robert Dickinson; Richard Kitney
Journal:  BMC Bioinformatics       Date:  2012-09-07       Impact factor: 3.169

8.  Process Mining Methodology for Health Process Tracking Using Real-Time Indoor Location Systems.

Authors:  Carlos Fernandez-Llatas; Aroa Lizondo; Eduardo Monton; Jose-Miguel Benedi; Vicente Traver
Journal:  Sensors (Basel)       Date:  2015-11-30       Impact factor: 3.576

  8 in total

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