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...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2019-03-01
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| Series: | Mayo Clinic Proceedings: Innovations, Quality & Outcomes |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2542454819300037 |
| _version_ | 1811232018593218560 |
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| author | Alisha P. Chaudhry Sujith Samudrala, MD Francisco Lopez-Jimenez, MD Jane L. Shellum, BA, MHA Rick A. Nishimura, MD Rajeev Chaudhry, MBBS, MPH Hongfang Liu, PhD Adelaide M. Arruda-Olson, MD, PhD |
| author_facet | Alisha P. Chaudhry Sujith Samudrala, MD Francisco Lopez-Jimenez, MD Jane L. Shellum, BA, MHA Rick A. Nishimura, MD Rajeev Chaudhry, MBBS, MPH Hongfang Liu, PhD Adelaide M. Arruda-Olson, MD, PhD |
| author_sort | Alisha P. Chaudhry |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-12T10:56:09Z |
| format | Article |
| id | doaj.art-f8838a9197704d51aa2d491f45da8b56 |
| institution | Directory Open Access Journal |
| issn | 2542-4548 |
| language | English |
| last_indexed | 2024-04-12T10:56:09Z |
| publishDate | 2019-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Mayo Clinic Proceedings: Innovations, Quality & Outcomes |
| spelling | doaj.art-f8838a9197704d51aa2d491f45da8b562022-12-22T03:36:06ZengElsevierMayo Clinic Proceedings: Innovations, Quality & Outcomes2542-45482019-03-01312329Provider Survey on Automated Clinical Decision Support for Cardiovascular Risk AssessmentAlisha P. Chaudhry0Sujith Samudrala, MD1Francisco Lopez-Jimenez, MD2Jane L. Shellum, BA, MHA3Rick A. Nishimura, MD4Rajeev Chaudhry, MBBS, MPH5Hongfang Liu, PhD6Adelaide M. Arruda-Olson, MD, PhD7Department of Cardiovascular Medicine, Mayo Clinic and Mayo Foundation, Rochester, MNDepartment of Cardiovascular Medicine, Mayo Clinic and Mayo Foundation, Rochester, MNDepartment of Cardiovascular Medicine, Mayo Clinic and Mayo Foundation, Rochester, MNCenter for Translational Informatics and Knowledge Management, Mayo Clinic and Mayo Foundation, Rochester, MNDepartment of Cardiovascular Medicine, Mayo Clinic and Mayo Foundation, Rochester, MN; Center for Translational Informatics and Knowledge Management, Mayo Clinic and Mayo Foundation, Rochester, MNDepartment of Internal Medicine and Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic and Mayo Foundation, Rochester, MNDepartment of Health Science Research, Mayo Clinic and Mayo Foundation, Rochester, MNDepartment of Cardiovascular Medicine, Mayo Clinic and Mayo Foundation, Rochester, MN; Correspondence: Address to Adelaide M. Arruda-Olson, MD, PhD, 200 First Street SW, Rochester, Minnesota 55905.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.http://www.sciencedirect.com/science/article/pii/S2542454819300037 |
| spellingShingle | Alisha P. Chaudhry Sujith Samudrala, MD Francisco Lopez-Jimenez, MD Jane L. Shellum, BA, MHA Rick A. Nishimura, MD Rajeev Chaudhry, MBBS, MPH Hongfang Liu, PhD Adelaide M. Arruda-Olson, MD, PhD Provider Survey on Automated Clinical Decision Support for Cardiovascular Risk Assessment Mayo Clinic Proceedings: Innovations, Quality & Outcomes |
| 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 |
| url | http://www.sciencedirect.com/science/article/pii/S2542454819300037 |
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