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Diana Erani

Biographic Data

ID1741601
NAMEDiana Erani
GIVEN NAMESDiana
FAMILY NAMEErani
SIGNATUREERANI D
AFFILIATIONSCommunity Health Center
ORCID0000-0002-1156-8182
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS8
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2017
LATEST PUBLICATION YEAR2023
H-INDEX1
  • Data sharing in the context of community-engaged research partnerships

    Open Access•Karen M Emmons, Samuel R Mendez et al.•ARTICLE•Social Science & Medicine•2023•Cited by: 1•References: 27

    Over the past 20 years, the National Institutes for Health (NIH) has implemented several policies designed to improve sharing of research data, such as the NIH public access policy for publications, NIH genomic data sharing policy, and National Cancer Institute (NCI) Cancer Moonshot public access and data sharing policy. In January 2023, a new NIH data sharing policy has gone into effect, requiring researchers to submit a Data Management and Shar…

  • RiskScape

    Noelle M Cocoros, Chaim Kirby et al.•ARTICLE•American Journal of Public Health•2021•References: 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-…

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

    Michael Klompas, Noelle M Cocoros et al.•ARTICLE•American Journal of Public Health•2017•Cited by: 7•References: 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…

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

    Michael Klompas, Noelle M Cocoros et al.•ARTICLE•American Journal of Public Health•2017•Cited by: 7•References: 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…

  • Data sharing in the context of community-engaged research partnerships

    Open Access•Karen M Emmons, Samuel R Mendez et al.•ARTICLE•Social Science & Medicine•2023•Cited by: 1•References: 27

    Over the past 20 years, the National Institutes for Health (NIH) has implemented several policies designed to improve sharing of research data, such as the NIH public access policy for publications, NIH genomic data sharing policy, and National Cancer Institute (NCI) Cancer Moonshot public access and data sharing policy. In January 2023, a new NIH data sharing policy has gone into effect, requiring researchers to submit a Data Management and Shar…

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

    Michael Klompas, Noelle M Cocoros et al.•ARTICLE•American Journal of Public Health•2017•Cited by: 7•References: 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…

  • RiskScape

    Noelle M Cocoros, Chaim Kirby et al.•ARTICLE•American Journal of Public Health•2021•References: 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-…

  • Data sharing in the context of community-engaged research partnerships

    Open Access•Karen M Emmons, Samuel R Mendez et al.•ARTICLE•Social Science & Medicine•2023•Cited by: 1•References: 27

    Over the past 20 years, the National Institutes for Health (NIH) has implemented several policies designed to improve sharing of research data, such as the NIH public access policy for publications, NIH genomic data sharing policy, and National Cancer Institute (NCI) Cancer Moonshot public access and data sharing policy. In January 2023, a new NIH data sharing policy has gone into effect, requiring researchers to submit a Data Management and Shar…

Medicine (3 works) · Computer Science (2 works) · Data-Driven Disease Surveillance (2 works) · Electronic Health Records Systems (2 works) · Environmental health (2 works) · Population (2 works) · Public health (2 works) · Public health surveillance (2 works) · Aggregate data (1 works) · Asthma (1 works)

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