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Name
eGEMs (Generating Evidence & Methods to improve patient outcomes)
Type
Journal
Items
171 Publications
Compatibility
OpenAIRE 3.0 (OA, funding)
OAI-PMH
https://egems.academyhealth.org/jms/index.php/up/oai/

 

  • 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...

    A Framework for Aligning Data from Multiple Institutions to Conduct Meaningful Analytics

    Knowlton, Jay; Belnap, Tom; Patelesio, Bonnie; Priest, Elisa L.; von Recklinghausen, Friedrich; Taenzer, Andreas H. (2017)
    Introduction: Health systems can be supported by collaborative networks focused on data sharing and comparative analytics to identify and rapidly disseminate promising care practices. Standardized data collection, quality assessment, and cleansing is a necessary process to facilitate meaningful analytics for operations, quality improvement, and research. We developed a framework for aligning data from health care delivery systems using the High Value Healthcare Collaborative central registry....

    An Efficient, Clinically-Natural Electronic Medical Record System that Produces Computable Data

    James, Brent C.; Edwards, David P.; James, Alan F.; Bradshaw, Richard L.; White, Keith S.; Wood, Chris; Huff, Stan (2017)
    Current commercially-available electronic medical record systems produce mainly text-based information focused on financial and regulatory performance. We combined an existing method for organizing complex computer systems—which we label activity-based design—with a proven approach for integrating clinical decision support into front-line care delivery—Care Process Models. The clinical decision support approach increased the structure of textual clinical documentation, to the point where esta...

    The Spatial Distribution of Adult Obesity Prevalence in Denver County, Colorado: An Empirical Bayes Approach to Adjust EHR-Derived Small Area Estimates

    Tabano, David C.; Bol, Kirk; Newcomer, Sophia R; Barrow, Jennifer C.; Daley, Matthew F. (2017)
    Objectives: Measuring obesity prevalence across geographic areas should account for environmental and socioeconomic factors that contribute to spatial autocorrelation, the dependency of values in estimates across neighboring areas, to mitigate the bias in measures and risk of type I errors in hypothesis testing. Dependency among observations across geographic areas violates statistical independence assumptions and may result in biased estimates. Empirical Bayes (EB) estimators reduce the vari...

    Analytical Methods for a Learning Health System: 3. Analysis of Observational Studies

    Stoto, Michael; Oakes, Michael; Stuart, Elizabeth; Brown, Randall; Zurovac, Jelena; Priest, Elisa L. (2017)
    The third paper in a series on how learning health systems can use routinely collected electronic health data (EHD) to advance knowledge and support continuous learning, this review describes how analytical methods for individual-level electronic health data EHD, including regression approaches, interrupted time series (ITS) analyses, instrumental variables, and propensity score methods, can also be used to address the question of whether the intervention “works.”The two major potential sourc...
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