Linking national primary care electronic health records to individual records from the U.S. Census Bureau’s American Community Survey: evaluating the likelihood of linkage based on patient health

Our work supports evidence-building across government consistent with the Foundations for Evidence-Based Policymaking Act of 2018 and the goal of leveraging data as a strategic asset. Given the high PIK and ACS match rates, with small differences based on health condition, our findings suggest the feasibility of enhancing the utility of EHR data for research focused on health.

Authors

Institutions

Publication Details

Journal
Journal of the American Medical Informatics Association
Published
2024-11-08
DOI
https://doi.org/10.1093/jamia/ocae269
Citations
3
Primary Topic
Primary Care and Health Outcomes
Type
article
Field-Weighted Citation Impact
2.55

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Linking national primary care electronic health records to individual records from the U.S. Census Bureau’s American Community Survey: evaluating the likelihood of linkage based on patient health

Nicole Gladish, Robert L. Phillips, Victoria Udalova, David H. Rehkopf et al.
3 citations
Journal of the American Medical Informatics Association
Primary Care and Health Outcomes
2.55
article

Linking national primary care electronic health records to individual records from the U.S. Census Bureau’s American Community Survey: evaluating the likelihood of linkage based on patient health

Nicole Gladish, Robert L. Phillips, Victoria Udalova, David H. Rehkopf, Aubrey Limburg
article en
3 citations

Abstract

Our work supports evidence-building across government consistent with the Foundations for Evidence-Based Policymaking Act of 2018 and the goal of leveraging data as a strategic asset. Given the high PIK and ACS match rates, with small differences based on health condition, our findings suggest the feasibility of enhancing the utility of EHR data for research focused on health.

Journal of the American Medical Informatics AssociationVol. 32(1)
American Academy of Family Physicians (US), American Board of Internal Medicine (US), United States Census Bureau (US), Palo Alto University (US), American Board of Emergency Medicine (US), VA Palo Alto Health Care System (US), Stanford Health Care (US), Stanford University (US)
Robert Wood Johnson Foundation
Openalex Percentile: Top 9%
Primary Care and Health Outcomes
2.55
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Linking national primary care electronic health records to individual records from the U.S. Census Bureau’s American Community Survey: evaluating the likelihood of linkage based on patient health — Nicole Gladish, Robert L. Phillips, et al. · Journal of the American Medical Informatics Association (2024) | TGRS Research Map | TGRS