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Economic impact of clinical decision support interventions based on electronic health records

BACKGROUND: Unnecessary healthcare utilization, non-adherence to current clinical guidelines, or insufficient personalized care are perpetual challenges and remain potential major cost-drivers for healthcare systems around the world. Implementing decision support systems into clinical care is promis...

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Autores principales: Lewkowicz, Daniel, Wohlbrandt, Attila, Boettinger, Erwin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7491136/
https://www.ncbi.nlm.nih.gov/pubmed/32933513
http://dx.doi.org/10.1186/s12913-020-05688-3
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author Lewkowicz, Daniel
Wohlbrandt, Attila
Boettinger, Erwin
author_facet Lewkowicz, Daniel
Wohlbrandt, Attila
Boettinger, Erwin
author_sort Lewkowicz, Daniel
collection PubMed
description BACKGROUND: Unnecessary healthcare utilization, non-adherence to current clinical guidelines, or insufficient personalized care are perpetual challenges and remain potential major cost-drivers for healthcare systems around the world. Implementing decision support systems into clinical care is promised to improve quality of care and thereby yield substantial effects on reducing healthcare expenditure. In this article, we evaluate the economic impact of clinical decision support (CDS) interventions based on electronic health records (EHR). METHODS: We searched for studies published after 2014 using MEDLINE, CENTRAL, WEB OF SCIENCE, EBSCO, and TUFTS CEA registry databases that encompass an economic evaluation or consider cost outcome measures of EHR based CDS interventions. Thereupon, we identified best practice application areas and categorized the investigated interventions according to an existing taxonomy of front-end CDS tools. RESULTS AND DISCUSSION: Twenty-seven studies are investigated in this review. Of those, twenty-two studies indicate a reduction of healthcare expenditure after implementing an EHR based CDS system, especially towards prevalent application areas, such as unnecessary laboratory testing, duplicate order entry, efficient transfusion practice, or reduction of antibiotic prescriptions. On the contrary, order facilitators and undiscovered malfunctions revealed to be threats and could lead to new cost drivers in healthcare. While high upfront and maintenance costs of CDS systems are a worldwide implementation barrier, most studies do not consider implementation cost. Finally, four included economic evaluation studies report mixed monetary outcome results and thus highlight the importance of further high-quality economic evaluations for these CDS systems. CONCLUSION: Current research studies lack consideration of comparative cost-outcome metrics as well as detailed cost components in their analyses. Nonetheless, the positive economic impact of EHR based CDS interventions is highly promising, especially with regard to reducing waste in healthcare.
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spelling pubmed-74911362020-09-16 Economic impact of clinical decision support interventions based on electronic health records Lewkowicz, Daniel Wohlbrandt, Attila Boettinger, Erwin BMC Health Serv Res Research Article BACKGROUND: Unnecessary healthcare utilization, non-adherence to current clinical guidelines, or insufficient personalized care are perpetual challenges and remain potential major cost-drivers for healthcare systems around the world. Implementing decision support systems into clinical care is promised to improve quality of care and thereby yield substantial effects on reducing healthcare expenditure. In this article, we evaluate the economic impact of clinical decision support (CDS) interventions based on electronic health records (EHR). METHODS: We searched for studies published after 2014 using MEDLINE, CENTRAL, WEB OF SCIENCE, EBSCO, and TUFTS CEA registry databases that encompass an economic evaluation or consider cost outcome measures of EHR based CDS interventions. Thereupon, we identified best practice application areas and categorized the investigated interventions according to an existing taxonomy of front-end CDS tools. RESULTS AND DISCUSSION: Twenty-seven studies are investigated in this review. Of those, twenty-two studies indicate a reduction of healthcare expenditure after implementing an EHR based CDS system, especially towards prevalent application areas, such as unnecessary laboratory testing, duplicate order entry, efficient transfusion practice, or reduction of antibiotic prescriptions. On the contrary, order facilitators and undiscovered malfunctions revealed to be threats and could lead to new cost drivers in healthcare. While high upfront and maintenance costs of CDS systems are a worldwide implementation barrier, most studies do not consider implementation cost. Finally, four included economic evaluation studies report mixed monetary outcome results and thus highlight the importance of further high-quality economic evaluations for these CDS systems. CONCLUSION: Current research studies lack consideration of comparative cost-outcome metrics as well as detailed cost components in their analyses. Nonetheless, the positive economic impact of EHR based CDS interventions is highly promising, especially with regard to reducing waste in healthcare. BioMed Central 2020-09-15 /pmc/articles/PMC7491136/ /pubmed/32933513 http://dx.doi.org/10.1186/s12913-020-05688-3 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Lewkowicz, Daniel
Wohlbrandt, Attila
Boettinger, Erwin
Economic impact of clinical decision support interventions based on electronic health records
title Economic impact of clinical decision support interventions based on electronic health records
title_full Economic impact of clinical decision support interventions based on electronic health records
title_fullStr Economic impact of clinical decision support interventions based on electronic health records
title_full_unstemmed Economic impact of clinical decision support interventions based on electronic health records
title_short Economic impact of clinical decision support interventions based on electronic health records
title_sort economic impact of clinical decision support interventions based on electronic health records
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7491136/
https://www.ncbi.nlm.nih.gov/pubmed/32933513
http://dx.doi.org/10.1186/s12913-020-05688-3
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