Noelle M Cocoros
Biographic Data
| ID | 6069525 |
|---|---|
| NAME | Noelle M Cocoros |
| GIVEN NAMES | Noelle M |
| FAMILY NAME | Cocoros |
| SIGNATURE | COCOROS N M |
| AFFILIATIONS | 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 | 0000-0001-7090-2761 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 7 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 1 |
Precision Public Health for Non-communicable Diseases
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…
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-…
Bystander Ethics and Good Samaritanism
In 2012, a U.S. Institute of Medicine report called for a different approach to health care: “Left unchanged, health care will continue to underperform; cause unnecessary harm; and strain national, state, and family budgets.” The answer, they suggested, would be a “continuously learning” health system. Ethicists and researchers urged the creation of “learning health organizations” that would integrate knowledge from patient‐care data to continuou…
Using HIV Surveillance Laboratory Data to Identify Out-of-Care Patients
HIV-associated laboratory tests reported to public health surveillance have been used as a proxy measure of care engagement of HIV+ individuals. As part of a Health Resources and Services Administration (HRSA) Special Projects of National Significance (SPNS) Initiative, the Massachusetts Department of Public Health (MDPH) worked with three pilot clinical facilities to identify HIV+ patients whose last HIV laboratory test occurred at the participa…
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…
Using HIV Surveillance Laboratory Data to Identify Out-of-Care Patients
HIV-associated laboratory tests reported to public health surveillance have been used as a proxy measure of care engagement of HIV+ individuals. As part of a Health Resources and Services Administration (HRSA) Special Projects of National Significance (SPNS) Initiative, the Massachusetts Department of Public Health (MDPH) worked with three pilot clinical facilities to identify HIV+ patients whose last HIV laboratory test occurred at the participa…
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…
Bystander Ethics and Good Samaritanism
In 2012, a U.S. Institute of Medicine report called for a different approach to health care: “Left unchanged, health care will continue to underperform; cause unnecessary harm; and strain national, state, and family budgets.” The answer, they suggested, would be a “continuously learning” health system. Ethicists and researchers urged the creation of “learning health organizations” that would integrate knowledge from patient‐care data to continuou…
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-…
Precision Public Health for Non-communicable Diseases
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…
Medicine (5 works) · Public health (4 works) · Environmental health (3 works) · Nursing (3 works) · Data-Driven Disease Surveillance (2 works) · Electronic Health Records Systems (2 works) · Health care (2 works) · Internal Medicine (2 works) · Political science (2 works) · Population (2 works)