On Demand: Addressing the Pervasive Burden of Delayed Identification of Disease-Presentation Slides

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This presentation by Cedars-Sinai Medical Center, in partnership with Biome Analytics, addresses the critical issue of delayed disease identification—specifically aortic stenosis (AS)—which impedes timely treatment and strains healthcare resources. The national healthcare landscape reveals a data-rich environment yet remains insight-poor, with rapid growth in structural heart programs outpacing clinical and operational infrastructures.<br /><br />Cedars-Sinai leveraged existing Epic electronic health record (EHR) capabilities combined with Biome’s cloud-based Echo Surveillance tool to transform unstructured echocardiogram reports—which traditionally require hours of manual review—into actionable patient identification. Biome acts as a “sieve,” instantaneously parsing thousands of reports to detect AS signals and funneling these findings into Epic, thus enabling seamless clinical workflow integration.<br /><br />Clinically, this approach addresses the gap between recognizing disease presence and operationally managing patient care—moving beyond outdated, inefficient methods like spreadsheets and sticky notes. The key insight was that new software was unnecessary; optimizing existing Epic functionality through smart configuration, without costly custom coding, was sufficient to build a replicable “identification engine.”<br /><br />The project emphasizes that technology facilitates but does not replace clinicians, freeing them from administrative burdens to focus on patient care. The collaboration was fundamentally a clinical care initiative rather than a typical IT project. This innovative architecture promotes earlier detection and treatment of AS, improving patient outcomes and hospital resource utilization.<br /><br />In conclusion, Cedars-Sinai’s case study exemplifies MedAxiom’s philosophy of driving clinical, operational, and financial excellence through smart business practices and technological innovation. By utilizing Epic and Biome analytics, healthcare systems can close care gaps, streamline workflows, and set a new standard of care for managing structural heart disease.

Keywords

aortic stenosis

Cedars-Sinai Medical Center

Biome Analytics

Epic electronic health record

Echo Surveillance tool

echocardiogram report analysis

clinical workflow integration

delayed disease identification

structural heart programs

healthcare resource optimization