Provider Survey on Automated Clinical Decision Support for Cardiovascular Risk Assessment

• Main Authors: 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
• Format: Article
• Language: English
• Published: Elsevier 2019-03-01
• Series: Mayo Clinic Proceedings: Innovations, Quality & Outcomes
• Online Access: http://www.sciencedirect.com/science/article/pii/S2542454819300037

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.