Sarcoma Treatment Efficacy Portal (STEP): A novel informatics portal providing real-time, real-world outcomes to clinicians.

Abstract

e23538 Background: There are currently no informatics tools that are capable of providing complex clinical decision support using real-world outcomes (RWO) for patients with sarcoma. Although existing nomograms can provide prognostic scores based on clinical or genomics features, they typically are static and lack the ability to compare outcomes for patients managed with alternative treatment strategies. To address this need, we present STEP, a Sarcoma Treatment Efficacy Portal, a web-based tool designed for real-time exploration and visualization of patient data with the potential to be integrated into clinical decision workflows during outpatient visits. Methods: At The Ohio State University, clinical histories and omics data for sarcoma patients are captured in our prospective Sarcoma Registry (NCT0267796). STEP is an interactive web-based tool built in R/Shiny and supported by a pipeline written Python that processes, transforms, and caches clinical data extracted from the Sarcoma Registry in near real-time. Protected health information (PHI) is stored on a secure HIPAA compliant server behind the hospital firewall and migrated to a secure, deidentified staging database. Results: The STEP system is powered by detailed treatment specific data elements that are continuously abstracted for over 400 patients with bone and soft tissue sarcoma. This consists of manually annotated clinical histories in addition to nearly 10 million discrete data points are pulled from the EHR (labs, ICD-9/10 codes, medications, omics data). Importantly, STEP includes a cohort builder which allows users to define a treatment group of interest though any number of variables including tumor histology, chemotherapy, and omic features of interest. For any predefined cohort, STEP can provide information on overall survival and response to a variety of treatments. It also provides sorting mechanisms for identifying candidate treatments. A secure web interface allows a simple integration into a busy clinic flow. Conclusions: STEP provides a first in class, convenient, clinician friendly platform for delivering access to real-time, real-world treatment outcomes (RWO) in patients with a diagnosis of bone or soft tissue sarcoma. Additional usability testing is forthcoming.