Optimizing echocardiography workflow to increase access to high quality care for patients

Abstract Funding Acknowledgements Type of funding sources: None. Background Advancement in echocardiography has led to creation tremendous amounts data, while such data informs diagnosis/treatment decision, it is resource-intensive and time-consuming access analyze. This calls for a fast efficient workflow with interoperability among systems. Aim: assess impact workflow, easy accessing measurement automation on time saving, increased number studies more specific measurements. Methods 98290 TTE was retrospectively analyzed. were performed by cardiologists cardiac sonographers. EPIC CVx/Affiniti CVx (Philips) used image acquisitions; Workspace (TTA2.5X; Philips) automated measurements (manual prior 2020), IntelliSpace Cardiovascular Information System (ISCV >2.x; images/data analysis reporting. Measurements were: LVEDV, LVEF, LVEDD, LA Volume, RA Area, A Wave, E E’ AO Root Diam, Asc Diam. Data divided into two time-windows: Group 1 (G1) between 2018–2019, when CV Imagine unit had manual tools (ACMQ; QLAB; Philips); 2 (G2) 2020–2021 after full adaptation ISCV (AutoStrain, LV based Philips TT/UWS technology). expressed as mean±SD. Two tailed Student T-test statistical significance (p< 0.05). Results Operational efficiency: there slight increase adoption (G1: 23946.5 ; G2: 25198.5; p = 0.4) (Fig 1, left). Comparing both groups, G2 showed significant reduction spent from acquisition final report (31%) 113.0h ±19.5 vs 77.5h± 2.5; P= 0.039) right). associated consistent predictable the average compared G1 (smaller standard deviation G2). In terms first-time right,data that 93 94% reports finalized one version. The version an increasing trend over years highlighted G2. While preforming exams sonographers 12%; 16%), quality right remained high.Quality diagnosis-Upon within ISCV, supports diagnosis (G1=63.3 G2=67.8, 0.052) 2, left), this regard, 6 times strain introducing Autostrain (p 0.005) (Fig2, Conclusions Using speeding up echo can help reduce report, enable strain, perform remains high, free physician-patient time, improve patient experience, provide consistency helping scheduling. Reasons observed saving be measurements, place less turn-around searching data.