Literature DB >> 18504253

What may help or hinder the implementation of computerized decision support systems (CDSSs): a focus group study with physicians.

Helena Varonen1, Tiina Kortteisto, Minna Kaila.   

Abstract

OBJECTIVES: To identify potential barriers and facilitators to implementing computerized decision support systems (CDSSs) in health care as perceived by clinicians.
METHODS: We carried out a qualitative focus group study with primary and secondary health care settings in six areas of Finland. A total of 39 interviewed physicians, of whom 22 practised in primary care and 17 in secondary care. The main outcome measures physicians' expectations, preconceived barriers and facilitators were explicitly identified by the participants during the interviews.
RESULTS: Identified barriers were earlier experience of dysfunctional computer systems in health care, potential harm to doctor-patient relationship, obscured responsibilities, threats to clinician's autonomy and potential extra workload due to excessive reminders. Identified facilitators were self-control of frequency and contents of CDSS and noticeable help of CDSS in clinical practice. It was easy for the physicians to think of applications and clinical topics for CDSS that could help them to avoid mistakes and improve work processes.
CONCLUSIONS: Physicians had relatively positive attitudes towards the idea of CDSS. They expected flexibility, individuality and reliability of the CDSS. The rather high level of computerized practices and wide use of electronic guidelines probably have paved the way for the CDSS in Finland.

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Mesh:

Year:  2008        PMID: 18504253     DOI: 10.1093/fampra/cmn020

Source DB:  PubMed          Journal:  Fam Pract        ISSN: 0263-2136            Impact factor:   2.267


  37 in total

1.  Family physicians' perceptions and use of electronic clinical decision support during the first year of implementation.

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Review 3.  Precision diagnosis: a view of the clinical decision support systems (CDSS) landscape through the lens of critical care.

Authors:  Arnaud Belard; Timothy Buchman; Jonathan Forsberg; Benjamin K Potter; Christopher J Dente; Allan Kirk; Eric Elster
Journal:  J Clin Monit Comput       Date:  2016-02-22       Impact factor: 2.502

4.  Clinical decision support capabilities of commercially-available clinical information systems.

Authors:  Adam Wright; Dean F Sittig; Joan S Ash; Sapna Sharma; Justine E Pang; Blackford Middleton
Journal:  J Am Med Inform Assoc       Date:  2009-06-30       Impact factor: 4.497

5.  Optimizing clinical decision support alerts in electronic medical records: a systematic review of reported strategies adopted by hospitals.

Authors:  Bethany A Van Dort; Wu Yi Zheng; Vivek Sundar; Melissa T Baysari
Journal:  J Am Med Inform Assoc       Date:  2021-01-15       Impact factor: 4.497

6.  Healthcare professionals' intentions to use clinical guidelines: a survey using the theory of planned behaviour.

Authors:  Tiina Kortteisto; Minna Kaila; Jorma Komulainen; Taina Mäntyranta; Pekka Rissanen
Journal:  Implement Sci       Date:  2010-06-29       Impact factor: 7.327

7.  Perceived barriers of heart failure nurses and cardiologists in using clinical decision support systems in the treatment of heart failure patients.

Authors:  Arjen E de Vries; Martje H L van der Wal; Maurice M W Nieuwenhuis; Richard M de Jong; Rene B van Dijk; Tiny Jaarsma; Hans L Hillege; Rene J Jorna
Journal:  BMC Med Inform Decis Mak       Date:  2013-04-26       Impact factor: 2.796

Review 8.  Do computerised clinical decision support systems for prescribing change practice? A systematic review of the literature (1990-2007).

Authors:  Sallie-Anne Pearson; Annette Moxey; Jane Robertson; Isla Hains; Margaret Williamson; James Reeve; David Newby
Journal:  BMC Health Serv Res       Date:  2009-08-28       Impact factor: 2.655

9.  What is needed to implement a computer-assisted health risk assessment tool? An exploratory concept mapping study.

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Journal:  BMC Med Inform Decis Mak       Date:  2012-12-19       Impact factor: 2.796

10.  How to improve drug dosing for patients with renal impairment in primary care - a cluster-randomized controlled trial.

Authors:  Antje Erler; Martin Beyer; Juliana J Petersen; Kristina Saal; Thomas Rath; Justine Rochon; Walter E Haefeli; Ferdinand M Gerlach
Journal:  BMC Fam Pract       Date:  2012-09-06       Impact factor: 2.497

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