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eGEMs (Generating Evidence & Methods to improve patient outcomes)
175 Publications
OpenAIRE 3.0 (OA, funding)


  • Extracting Deep Phenotypes for Chronic Kidney Disease Using Electronic Health Records

    Luong, Duc Thanh Anh; Tran, Dinh; Pace, Wilson D.; Dickinson, Miriam; Vassalotti, Joseph; Carroll, Jennifer; Withiam-Leitch, Matthew; Yang, Min; Satchidanand, Nikhil; Staton, Elizabeth; Kahn, Linda S.; Chandola, Varun; Fox, Chester H. (2017)
    Introduction: As chronic kidney disease (CKD) is among the most prevalent chronic diseases in the world with various rate of progression among patients, identifying its phenotypic subtypes is important for improving risk stratification and providing more targeted therapy and specific treatments for patients having different trajectories of the disease progression.Problem Definition and Data: The rapid growth and adoption of electronic health records (EHR) technology has created a unique oppor...

    A Query Workflow Design to Perform Automatable Distributed Regression Analysis in Large Distributed Data Networks

    Her, Qoua L.; Malenfant, Jessica M.; Malek, Sarah; Vilk, Yury; Young, Jessica; Li, Lingling; Brown, Jeffery; Toh, Sengwee (2018)
    Introduction: Patient privacy and data security concerns often limit the feasibility of pooling patient-level data from multiple sources for analysis. Distributed data networks (DDNs) that employ privacy-protecting analytical methods, such as distributed regression analysis (DRA), can mitigate these concerns. However, DRA is not routinely implemented in large DDNs.Objective: We describe the design and implementation of a process framework and query workflow that allow automatable DRA in real-...

    Case Studies from the Clinic: Initiating and Implementing Patient-Reported Outcome Measures

    Locklear, Tracie; DeBar, Lynn L.; Willig, James; Rundell, Sean; Blackhall, Leslie; Zatzick, Douglas; Staman, Karen; Bhavsar, Nrupen; Weinfurt, Kevin; Abernethy, Amy P. (2017)
    Introduction: Self-reporting by patients though the use of electronic patient-reported outcome (PRO) measures has been shown to use increase patient satisfaction with care, and improve patient-provider communication, symptom management, and health quality. Additionally, PROs are increasingly used in research to expand understanding regarding the relative risks, benefits, and burdens of interventions. While experience embedding patient-reported outcomes (PROs) into registries and clinical work...

    Architecture and Implementation of a Clinical Research Data Warehouse for Prostate Cancer

    Seneviratne, Martin G.; Seto, Tina; Blayney, Douglas W.; Brooks, James D.; Hernandez-Boussard, Tina (2018)
    Projects: NIH | Utilizing Electronic Health Records to Measure and Improve Prostate Cancer Care (1R01CA183962-01A1)
    Background: Electronic health record (EHR) based research in oncology can be limited by missing data and a lack of structured data elements. Clinical research data warehouses for specific cancer types can enable the creation of more robust research cohorts.Methods: We linked data from the Stanford University EHR with the Stanford Cancer Institute Research Database (SCIRDB) and the California Cancer Registry (CCR) to create a research data warehouse for prostate cancer. The database was supple...

    Understanding the Impact of Variations in Measurement Period Reporting for Electronic Clinical Quality Measures

    Colin, Nicholas V.; Cholan, Raja A.; Sachdeva, Bhavaya; Nealy, Benjamin E.; Parchman, Michael L.; Dorr, David A. (2018)
    Objective: To understand the impact of varying measurement period on the calculation of electronic Clinical Quality Measures (eCQMs).Background: eCQMs have increased in importance in value-based programs, but accurate and timely measurement has been slow. This has required flexibility in key measure characteristics, including measurement period, the timeframe the measurement covers. The effects of variable measurement periods on accuracy and variability are not clear.Methods: 209 practices we...
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