Mark Josephson
Biographic Data
| ID | 6069529 |
|---|---|
| NAME | Mark Josephson |
| GIVEN NAMES | Mark |
| FAMILY NAME | Josephson |
| SIGNATURE | JOSEPHSON M |
| AFFILIATIONS | Noelle M. Cocoros, Aileen Ochoa, John T. Menchaca, and Michael Klompas are with the Department of Population Medicine at Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA. Chaim Kirby, Bob Zambarano, Karen Eberhardt, and Catherine Rocchio are with Commonwealth Informatics, Waltham, MA. W. Sanouri Ursprung, Victoria M. Nielsen, and Natalie Nguyen Durham are with Massachusetts Department of Public Health, Boston. Mark Josephson, Diana Erani, and Ellen Hafer are with Massachusetts... |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 7 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 1 |
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…
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-Driven Disease Surveillance (2 works) · Electronic Health Records Systems (2 works) · Environmental health (2 works) · Medicine (2 works) · Population (2 works) · Public health (2 works) · Public health surveillance (2 works) · Aggregate data (1 work) · Asthma (1 work) · Behavioral Risk Factor Surveillance System (1 work)