Literature DB >> 23710841

A review of the empirical evidence of the value of structuring and coding of clinical information within electronic health records for direct patient care.

Dipak Kalra1, Bernard Fernando, Zoe Morrison, Aziz Sheikh.   

Abstract

BACKGROUND: The case has historically been presented that structured and/or coded electronic health records (EHRs) benefit direct patient care, but the evidence base for this is not well documented.
METHODS: We searched for evidence of direct patient care value from the use of structured and/or coded information within EHRs. We interrogated nine international databases from 1990 to 2011. Value was defined using the Institute of Medicine's six areas for improvement for healthcare systems: effectiveness, safety, patient-centredness, timeliness, efficiency and equitability. We included studies satisfying the Cochrane Effective Practice and Organisation of Care (EPOC) group criteria.
RESULTS: Of 5016 potentially eligible papers, 13 studies satisfied our criteria: 10 focused on effectiveness, with eight demonstrating potential for improved proxy and actual clinical outcomes if a structured and/or coded EHR was combined with alerting or advisory systems in a focused clinical domain. Three studies demonstrated improvement in safety outcomes. No studies were found reporting value in relation to patient-centredness, timeliness, efficiency or equitability.
CONCLUSIONS: We conclude that, to date, there has been patchy effort to investigate empirically the value from structuring and coding EHRs for direct patient care. Future investments in structuring and coding of EHRs should be informed by robust evidence as to the clinical scenarios in which patient care benefits may be realised.

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Mesh:

Year:  2012        PMID: 23710841     DOI: 10.14236/jhi.v20i3.22

Source DB:  PubMed          Journal:  Inform Prim Care        ISSN: 1475-9985


  5 in total

1.  Documenting Routinely What Matters to People: Standardized Headings for Health Records of Patients with Chronic Health Conditions.

Authors:  Birgit Prodinger; Paul Rastall; Dipak Kalra; Darren Wooldridge; Iain Carpenter
Journal:  Appl Clin Inform       Date:  2018-05-23       Impact factor: 2.342

2.  Can structured EHR data support clinical coding? A data mining approach.

Authors:  José Carlos Ferrão; Mónica Duarte Oliveira; Filipe Janela; Henrique M G Martins; Daniel Gartner
Journal:  Health Syst (Basingstoke)       Date:  2020-03-01

3.  The International Classification of Functioning, Disability and Health (ICF) in Electronic Health Records.

Authors:  Roxanne Maritz; Dominik Aronsky; Birgit Prodinger
Journal:  Appl Clin Inform       Date:  2017-12-20       Impact factor: 2.342

4.  New conceptual model of EMR implementation in interprofessional academic family medicine clinics.

Authors:  Gayle Halas; Alexander Singer; Carol Styles; Alan Katz
Journal:  Can Fam Physician       Date:  2015-05       Impact factor: 3.275

5.  Tailoring implementation strategies for evidence-based recommendations using computerised clinical decision support systems: protocol for the development of the GUIDES tools.

Authors:  Stijn Van de Velde; Pavel Roshanov; Tiina Kortteisto; Ilkka Kunnamo; Bert Aertgeerts; Per Olav Vandvik; Signe Flottorp
Journal:  Implement Sci       Date:  2016-03-05       Impact factor: 7.327

  5 in total

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