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Provider Survey on Automated Clinical Decision Support for Cardiovascular Risk Assessment

OBJECTIVE: To investigate provider opinions regarding a clinical decision support (CDS) system for cardiovascular risk assessment and for the creation of a replacement system. METHODS: From March to April 2018, an invitation letter with a link to a self-administered web-based survey was sent via e-m...

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Autores principales: Chaudhry, Alisha P., Samudrala, Sujith, Lopez-Jimenez, Francisco, Shellum, Jane L., Nishimura, Rick A., Chaudhry, Rajeev, Liu, Hongfang, Arruda-Olson, Adelaide M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6410336/
https://www.ncbi.nlm.nih.gov/pubmed/30899905
http://dx.doi.org/10.1016/j.mayocpiqo.2018.12.008
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author Chaudhry, Alisha P.
Samudrala, Sujith
Lopez-Jimenez, Francisco
Shellum, Jane L.
Nishimura, Rick A.
Chaudhry, Rajeev
Liu, Hongfang
Arruda-Olson, Adelaide M.
author_facet Chaudhry, Alisha P.
Samudrala, Sujith
Lopez-Jimenez, Francisco
Shellum, Jane L.
Nishimura, Rick A.
Chaudhry, Rajeev
Liu, Hongfang
Arruda-Olson, Adelaide M.
author_sort Chaudhry, Alisha P.
collection PubMed
description OBJECTIVE: To investigate provider opinions regarding a clinical decision support (CDS) system for cardiovascular risk assessment and for the creation of a replacement system. METHODS: From March to April 2018, an invitation letter with a link to a self-administered web-based survey was sent via e-mail to 279 providers with primary appointment in the Department of Cardiovascular Medicine, Mayo Clinic, Rochester. The e-mail was sent to providers on March 8, 2018 and the survey closed on April 16, 2018. RESULTS: One hundred providers responded to the survey yielding an overall response rate of 35.8%. Of these, 52 (52%) indicated they had used the cardiovascular (CV) risk profile CDS system and were classified as users and prompted to continue the survey. Among users, 42 (80.8%) indicated use of the CDS was either important (25; 48.1%) or very important (17; 32.7%) in their clinical practice; 45 (86.5%) responded that the system was very easy (17; 32.7%) or easy (28; 53.8%) to use. In addition, 48 (96.0%) users indicated that the CV risk profile supported their thought process at the point-of-care; 47 (97.9%) users indicated similar functionalities should be implemented into the new electronic health record system and 41 (85.4%) users reported new functionalities should also be incorporated. CONCLUSIONS: For most users, the CDS system was easy to use and supported clinical thought process at the point-of-care. Users also felt their practice was supported and should continue to be supported by CDS systems providing individualized patient information at the point-of-care.
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spelling pubmed-64103362019-03-21 Provider Survey on Automated Clinical Decision Support for Cardiovascular Risk Assessment Chaudhry, Alisha P. Samudrala, Sujith Lopez-Jimenez, Francisco Shellum, Jane L. Nishimura, Rick A. Chaudhry, Rajeev Liu, Hongfang Arruda-Olson, Adelaide M. Mayo Clin Proc Innov Qual Outcomes Original Article OBJECTIVE: To investigate provider opinions regarding a clinical decision support (CDS) system for cardiovascular risk assessment and for the creation of a replacement system. METHODS: From March to April 2018, an invitation letter with a link to a self-administered web-based survey was sent via e-mail to 279 providers with primary appointment in the Department of Cardiovascular Medicine, Mayo Clinic, Rochester. The e-mail was sent to providers on March 8, 2018 and the survey closed on April 16, 2018. RESULTS: One hundred providers responded to the survey yielding an overall response rate of 35.8%. Of these, 52 (52%) indicated they had used the cardiovascular (CV) risk profile CDS system and were classified as users and prompted to continue the survey. Among users, 42 (80.8%) indicated use of the CDS was either important (25; 48.1%) or very important (17; 32.7%) in their clinical practice; 45 (86.5%) responded that the system was very easy (17; 32.7%) or easy (28; 53.8%) to use. In addition, 48 (96.0%) users indicated that the CV risk profile supported their thought process at the point-of-care; 47 (97.9%) users indicated similar functionalities should be implemented into the new electronic health record system and 41 (85.4%) users reported new functionalities should also be incorporated. CONCLUSIONS: For most users, the CDS system was easy to use and supported clinical thought process at the point-of-care. Users also felt their practice was supported and should continue to be supported by CDS systems providing individualized patient information at the point-of-care. Elsevier 2019-02-26 /pmc/articles/PMC6410336/ /pubmed/30899905 http://dx.doi.org/10.1016/j.mayocpiqo.2018.12.008 Text en © 2018 THE AUTHORS. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Chaudhry, Alisha P.
Samudrala, Sujith
Lopez-Jimenez, Francisco
Shellum, Jane L.
Nishimura, Rick A.
Chaudhry, Rajeev
Liu, Hongfang
Arruda-Olson, Adelaide M.
Provider Survey on Automated Clinical Decision Support for Cardiovascular Risk Assessment
title Provider Survey on Automated Clinical Decision Support for Cardiovascular Risk Assessment
title_full Provider Survey on Automated Clinical Decision Support for Cardiovascular Risk Assessment
title_fullStr Provider Survey on Automated Clinical Decision Support for Cardiovascular Risk Assessment
title_full_unstemmed Provider Survey on Automated Clinical Decision Support for Cardiovascular Risk Assessment
title_short Provider Survey on Automated Clinical Decision Support for Cardiovascular Risk Assessment
title_sort provider survey on automated clinical decision support for cardiovascular risk assessment
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6410336/
https://www.ncbi.nlm.nih.gov/pubmed/30899905
http://dx.doi.org/10.1016/j.mayocpiqo.2018.12.008
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