Michael Klompas

Datos Biográficos

ID2193605
NOMBREMichael Klompas
NOMBRESMichael
APELLIDOKlompas
FIRMAKLOMPAS M
AFILIACIONESBrigham and Women's Hospital
ORCID0000-0001-8641-4498
VERIFICADOSí
TOTAL DE OBRAS10
TOTAL DE CITAS26
TOTAL COMO AUTOR10
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2012
AÑO MÁS RECIENTE DE PUBLICACIÓN2025
ÍNDICE H4

  • Weighted EHR-based prevalence estimates for hypertension at the state and local levels in Louisiana

    Open AccessWenjun Li, Meng Zhang et al.ARTICLEBMC Public Health2025

    Post-stratification weighting of MENDS data brought EHR-based data estimates closer to survey-based estimates of hypertension and can improve representativeness of chronic disease indicators. These estimates can provide public health organizations with timely, accurate, and local information. Further, EHR-based systems can produce unique measures, such as the prevalence of hypertension control, which can provide a more nuanced understanding of co…

  • The time has come to protect healthcare workers and patients from aerosol transmissible disease

    Open AccessLisa M Brosseau, Andrew Bowdle et al.ARTICLEFrontiers in Public Health2024

    Lisa M. Brosseau1Andrew Bowdle2*Raymond Tellier3Michael Klompas4Robert T. Schooley5Robert Harrison6Srdjan Jelacic2Michael T. Osterholm1

  • Precision Public Health for Non-communicable Diseases

    Open AccessOliver J Canfell, Kamila Davidson et al.ARTICLEFrontiers in Public Health2022

    Non-communicable diseases (NCDs) remain the largest global public health threat. The emerging field of precision public health (PPH) offers a transformative opportunity to capitalize on digital health data to create an agile, responsive and data-driven public health system to actively prevent NCDs. Using learnings from digital health, our aim is to propose a vision toward PPH for NCDs across three horizons of digital health transformation: Horizo…

  • Small-area estimation for public health surveillance using electronic health record data

    Open AccessTom Chen, Wenjun Li et al.ARTICLEBMC Public Health2022

    Small-area estimation using EHR data is feasible and generates estimates comparable to BRFSS state and small-area estimates. Integrating EHR data with survey data can provide timely and accurate disease monitoring tools for areas with sparse data coverage

  • Primary Care Providers’ Perspectives on Using Automated HIV Risk Prediction Models to Identify Potential Candidates for Pre-exposure Prophylaxis

    Open AccessPolly van den Berg, Victoria Powell et al.ARTICLEAIDS and Behavior2021

  • RiskScape

    Noelle M Cocoros, Chaim Kirby et al.ARTICLEAmerican Journal of Public Health2021Referencias: 10

    Automated analysis of electronic health record (EHR) data is a complementary tool for public health surveillance. Analyzing and presenting these data, however, demands new methods of data communication optimized to the detail, flexibility, and timeliness of EHR data. RiskScape is an open-source, interactive, Web-based, user-friendly data aggregation and visualization platform for public health surveillance using EHR data. RiskScape displays near-…

  • Medical mistrust in the context of Ebola

    Open AccessValerie A Earnshaw, Laura M Bogart et al.ARTICLEJournal of Health Psychology2019Citada por: 10Referencias: 24

    This investigation explores Ebola conspiracy beliefs, a form of medical mistrust, and their potential impact on health behavior. Results of an online survey in the United States in December 2014 demonstrated that 16 percent of 202 participants held conspiracy beliefs. Participants who were less knowledgeable about Ebola, more mistrustful of medical organizations, and more xenophobic more strongly endorsed conspiracy beliefs. Participants who more…

  • State and Local Chronic Disease Surveillance Using Electronic Health Record Systems

    Michael Klompas, Noelle M Cocoros et al.ARTICLEAmerican Journal of Public Health2017Citada por: 7Referencias: 26

    Objectives. To assess the feasibility of chronic disease surveillance using distributed analysis of electronic health records and to compare results with Behavioral Risk Factor Surveillance System (BRFSS) state and small-area estimates. Methods. We queried the electronic health records of 3 independent Massachusetts-based practice groups using a distributed analysis tool called MDPHnet to measure the prevalence of diabetes, asthma, smoking, hyper…

  • MDPHnet

    Joshua P Vogel, Joshua Vogel et al.ARTICLEAmerican Journal of Public Health2014Citada por: 4Referencias: 19

    Electronic health record systems contain clinically detailed data from large populations of patients that could significantly enrich public health surveillance. Clinical practices’ security, privacy, and proprietary concerns, however, have limited their willingness to share these data with public health agencies. We describe a novel distributed network for public health surveillance called MDPHnet. The system allows the Massachusetts Department o…

  • Integrating Clinical Practice and Public Health Surveillance Using Electronic Medical Record Systems

    Michael Klompas, Jason McVetta et al.ARTICLEAmerican Journal of Public Health2012Citada por: 5Referencias: 13

    Electronic medical record (EMR) systems have rich potential to improve integration between primary care and the public health system at the point of care. EMRs make it possible for clinicians to contribute timely, clinically detailed surveillance data to public health practitioners without changing their existing workflows or incurring extra work. New surveillance systems can extract raw data from providers’ EMRs, analyze them for conditions of p…