Diana Erani
Datos Biográficos
| ID | 1741601 |
|---|---|
| NOMBRE | Diana Erani |
| NOMBRES | Diana |
| APELLIDO | Erani |
| FIRMA | ERANI D |
| AFILIACIONES | Michael Klompas, Noelle M. Cocoros, John T. Menchaca, and Jessica Malenfant are with the Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA. Diana Erani, Ellen Hafer, and Mark Josephson are with the Massachusetts League of Community Health Centers, Boston. Brian Herrick and Michelle D. Payne Weiss are with Cambridge Health Alliance, Cambridge, MA. Michael Lee is with Atrius Health, Boston. Bob Zambarano and Karen R. Eberhardt are with... |
| ORCID | 0000-0002-1156-8182 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 3 |
| TOTAL DE CITAS | 8 |
| TOTAL COMO AUTOR | 3 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2017 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2023 |
| ÍNDICE H | 1 |
Data sharing in the context of community-engaged research partnerships
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
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
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
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
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
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
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
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 obras) · Computer Science (2 obras) · Data-Driven Disease Surveillance (2 obras) · Electronic Health Records Systems (2 obras) · Environmental health (2 obras) · Population (2 obras) · Public health (2 obras) · Public health surveillance (2 obras) · Aggregate data (1 obras) · Asthma (1 obras)