JMIR Perioperative Medicine (Sep 2024)

Association of a Novel Electronic Form for Preoperative Cardiac Risk Assessment With Reduction in Cardiac Consultations and Testing: Retrospective Cohort Study

  • Mandeep Kumar,
  • Kathryn Wilkinson,
  • Ya-Huei Li,
  • Rohit Masih,
  • Mehak Gandhi,
  • Haleh Saadat,
  • Julie Culmone

DOI
https://doi.org/10.2196/63076
Journal volume & issue
Vol. 7
p. e63076

Abstract

Read online

BackgroundPreoperative cardiac risk assessment is an integral part of preoperative evaluation; however, there is significant variation among providers, leading to inappropriate referrals for cardiology consultation or excessive low-value cardiac testing. We implemented a novel electronic medical record (EMR) form in our preoperative clinics to decrease variation. ObjectiveThis study aimed to investigate the impact of the EMR form on the preoperative utilization of cardiology consultation and cardiac diagnostic testing (echocardiograms, stress tests, and cardiac catheterization) and evaluate postoperative outcomes. MethodsA retrospective cohort study was conducted. Patients who underwent outpatient preoperative evaluation prior to an elective surgery over 2 years were divided into 2 cohorts: from July 1, 2021, to June 30, 2022 (pre–EMR form implementation), and from July 1, 2022, to June 30, 2023 (post–EMR form implementation). Demographics, comorbidities, resource utilization, and surgical characteristics were analyzed. Propensity score matching was used to adjust for differences between the 2 cohorts. The primary outcomes were the utilization of preoperative cardiology consultation, cardiac testing, and 30-day postoperative major adverse cardiac events (MACE). ResultsA total of 25,484 patients met the inclusion criteria. Propensity score matching yielded 11,645 well-matched pairs. The post–EMR form, matched cohort had lower cardiology consultation (pre–EMR form: n=2698, 23.2% vs post–EMR form: n=2088, 17.9%; P.05). While patients with “possible indications” for cardiology consultation had higher MACE rates, the consultations did not reduce MACE risk. Most algorithm end points, except for active cardiac conditions, had MACE rates <1%. ConclusionsIn this cohort study, preoperative cardiac risk assessment using a novel EMR form was associated with a significant decrease in cardiology consultation and testing utilization, with no adverse impact on postoperative outcomes. Adopting this approach may assist perioperative medicine clinicians and anesthesiologists in efficiently decreasing unnecessary preoperative resource utilization without compromising patient safety or quality of care.