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


  • Reducing Healthcare Costs Through Patient Targeting: Risk Adjustment Modeling to Predict Patients Remaining High-Cost

    Context: The transition to population health management has changed the healthcare landscape to identify high risk, high cost patients. Various measures of patient risk have attempted to identify likely candidates for care management programs. Pre-screening patients for outreach has often required several years of data. Intermountain Healthcare relied on cost-ranking algorithms which had limited predictive ability. A new risk-adjusted algorithm shows improvements in predicting patients’ futur...

    Improved Risk Prediction Following Surgery Using Machine Learning Algorithms

    Background: Machine learning is used to analyze big data, often for the purposes of prediction. Analyzing a patient’s healthcare utilization pattern may provide more precise estimates of risk for adverse events (AE) or death. We sought to characterize healthcare utilization prior to surgery using machine learning for the purposes of risk prediction.Methods: Patients from MarketScan Commercial Claims and Encounters Database undergoing elective surgery from 2007-2012 with ≥1 comorbidity were in...

    Challenges to Conducting Health Information Exchange Research and Evaluation: Reflections and Recommendations for Examining the Value of HIE

    Yeager, Valerie A.; Vest, Joshua R.; Walker, Daniel M.; Diana, Mark L.; Menachemi, Nir (2017)
    Introduction: Health information exchange (HIE) promises cost and utilization reductions. To date, only a small number of HIE studies have demonstrated benefits to patients, providers, public health, or payers. This may be because evaluations of HIE are methodologically challenging. Indeed, the quality of HIE evaluations is often limited and authors frequently note unmet evaluation objectives. We provide a systematic identification of HIE research challenges that can be used to inform strateg...

    Enhanced Quality Measurement Event Detection: An Application to Physician Reporting

    Tamang, Suzanne R.; Hernandez-Boussard, Tina; Ross, Elsie Gyang; Patel, Manli; Gaskin, Greg; Shah, Nigam (2017)
    The wide-scale adoption of electronic health records (EHR)s has increased the availability of routinely collected clinical data in electronic form that can be used to improve the reporting of quality of care. However, the bulk of information in the EHR is in unstructured form (e.g., free-text clinical notes) and not amenable to automated reporting. Traditional methods are based on structured diagnostic and billing data that provide efficient, but inaccurate or incomplete summaries of actual o...

    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...
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