Literature DB >> 27919387

Impacts of structuring the electronic health record: Results of a systematic literature review from the perspective of secondary use of patient data.

Riikka Vuokko1, Päivi Mäkelä-Bengs2, Hannele Hyppönen2, Minna Lindqvist2, Persephone Doupi2.   

Abstract

PURPOSE: To explore the impacts that structuring of electronic health records (EHRs) has had from the perspective of secondary use of patient data as reflected in currently published literature. This paper presents the results of a systematic literature review aimed at answering the following questions; (1) what are the common methods of structuring patient data to serve secondary use purposes; (2) what are the common methods of evaluating patient data structuring in the secondary use context, and (3) what impacts or outcomes of EHR structuring have been reported from the secondary use perspective.
METHODS: The reported study forms part of a wider systematic literature review on the impacts of EHR structuring methods and evaluations of their impact. The review was based on a 12-step systematic review protocol adapted from the Cochrane methodology. Original articles included in the study were divided into three groups for analysis and reporting based on their use focus: nursing documentation, medical use and secondary use (presented in this paper). The analysis from the perspective of secondary use of data includes 85 original articles from 1975 to 2010 retrieved from 15 bibliographic databases.
RESULTS: The implementation of structured EHRs can be roughly divided into applications for documenting patient data at the point of care and application for retrieval of patient data (post hoc structuring). Two thirds of the secondary use articles concern EHR structuring methods which were still under development or in the testing phase.
METHODS: of structuring patient data such as codes, terminologies, reference information models, forms or templates and documentation standards were usually applied in combination. Most of the identified benefits of utilizing structured EHR data for secondary use purposes concentrated on information content and quality or on technical quality and reliability, particularly in the case of Natural Language Processing (NLP) studies. A few individual articles evaluated impacts on care processes, productivity and costs, patient safety, care quality or other health impacts. In most articles these endpoints were usually discussed as goals of secondary use and less as evidence-supported impacts, resulting from the use of structured EHR data for secondary purposes.
CONCLUSIONS: Further studies and more sound evaluation methods are needed for evidence on how EHRs are utilized for secondary purposes, and how structured documentation methods can serve different users' needs, e.g. administration, statistics and research and development, in parallel to medical use purposes. Copyright Â
© 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Electronic health records; Free text; Secondary use of patient data; Structured data; Systematic literature review

Mesh:

Year:  2016        PMID: 27919387     DOI: 10.1016/j.ijmedinf.2016.10.004

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


  12 in total

1.  Ensuring electronic medical record simulation through better training, modeling, and evaluation.

Authors:  Ziqi Zhang; Chao Yan; Diego A Mesa; Jimeng Sun; Bradley A Malin
Journal:  J Am Med Inform Assoc       Date:  2020-01-01       Impact factor: 4.497

Review 2.  Literature Review of Patient Record Structures from the Physician's Perspective.

Authors:  Heikki Forsvik; Ville Voipio; Johanna Lamminen; Persephone Doupi; Hannele Hyppönen; Riikka Vuokko
Journal:  J Med Syst       Date:  2016-12-27       Impact factor: 4.460

3.  Development and validation of MicrobEx: an open-source package for microbiology culture concept extraction.

Authors:  Garrett Eickelberg; Yuan Luo; L Nelson Sanchez-Pinto
Journal:  JAMIA Open       Date:  2022-04-22

4.  Capturing Clinician Reasoning in Electronic Health Records: An Exploratory Study of Under-Treated Essential Hypertension.

Authors:  James J Cimino; Heather D Martin; Tiago K Colicchio
Journal:  AMIA Annu Symp Proc       Date:  2021-01-25

5.  Use of machine learning to transform complex standardized nursing care plan data into meaningful research variables: a palliative care exemplar.

Authors:  Tamara G R Macieira; Yingwei Yao; Gail M Keenan
Journal:  J Am Med Inform Assoc       Date:  2021-11-25       Impact factor: 7.942

6.  The Revival of the Notes Field: Leveraging the Unstructured Content in Electronic Health Records.

Authors:  Michela Assale; Linda Greta Dui; Andrea Cina; Andrea Seveso; Federico Cabitza
Journal:  Front Med (Lausanne)       Date:  2019-04-17

7.  EMR-integrated minimal core dataset for routine health care and multiple research settings: A case study for neuroinflammatory demyelinating diseases.

Authors:  Sophia von Martial; Tobias J Brix; Luisa Klotz; Philipp Neuhaus; Klaus Berger; Clemens Warnke; Sven G Meuth; Heinz Wiendl; Martin Dugas
Journal:  PLoS One       Date:  2019-10-15       Impact factor: 3.240

8.  Challenges using electronic nursing routine data for outcome analyses: A mixed methods study.

Authors:  Renate Nantschev; Elske Ammenwerth
Journal:  Int J Nurs Sci       Date:  2021-11-29

9.  Natural language processing algorithms for mapping clinical text fragments onto ontology concepts: a systematic review and recommendations for future studies.

Authors:  Martijn G Kersloot; Florentien J P van Putten; Ameen Abu-Hanna; Ronald Cornet; Derk L Arts
Journal:  J Biomed Semantics       Date:  2020-11-16

10.  Facilitating the Implementation of Standardized Care Plans in Municipal Healthcare.

Authors:  Elisabeth Østensen; Nicholas Richard Hardiker; Ragnhild Hellesø
Journal:  Comput Inform Nurs       Date:  2021-08-04       Impact factor: 1.985

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.