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Developing a Model to Predict High Health Care Utilization Among Patients in a New York City Safety Net System

Autor: Zeyu, Li, Spriha, Gogia, Kathleen S, Tatem, Caroline, Cooke, Jesse, Singer, Dave A, Chokshi, Remle, Newton-Dame

Publikováno v: Medical Care. 61:102-108

Health care facilities use predictive models to identify patients at risk of high future health care utilization who may benefit from tailored interventions. Previous predictive models that have focused solely on inpatient readmission risk, relied on

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::308989313c1a247965b84275fbdb3c8d
https://doi.org/10.1097/mlr.0000000000001807

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Generalizability of Indicators from the New York City Macroscope Electronic Health Record Surveillance System to Systems Based on Other EHR Platforms

Autor: Kathleen S. Tatem, Matthew L. Romo, Katharine H. McVeigh, Sharon E. Perlman, Elizabeth Lurie-Moroni, Pui Ying Chan, Lauren Schreibstein, Lorna E. Thorpe, Remle Newton-Dame

Publikováno v: eGEMs
eGEMs (Generating Evidence & Methods to improve patient outcomes); Vol 5, No 1 (2017); 25
eGEMs, Vol 5, Iss 1 (2017)

Introduction: The New York City (NYC) Macroscope is an electronic health record (EHR) surveillance system based on a distributed network of primary care records from the Hub Population Health System. In a previous 3-part series published in eGEMS, we

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31027e51863e7ad2c7089450632a89e1
https://pubmed.ncbi.nlm.nih.gov/29881742

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Comparing Prevalence Estimates From Population-Based Surveys to Inform Surveillance Using Electronic Health Records

Autor: Sharon E. Perlman, Katharine H. McVeigh, Pui Ying Chan, Elizabeth Lurie-Moroni, Lorna E. Thorpe, Kathleen S. Tatem, Matthew L. Romo

Publikováno v: Preventing Chronic Disease

INTRODUCTION Electronic health record (EHR) systems provide an opportunity to use a novel data source for population health surveillance. Validation studies that compare prevalence estimates from EHRs and surveys most often use difference testing, wh

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b9234e864bf7bf8a9a3fbaf361feae4
http://europepmc.org/articles/PMC5467464

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Can Electronic Health Records Be Used for Population Health Surveillance? Validating Population Health Metrics Against Established Survey Data

Autor: Pui Ying Chan, Lauren Schreibstein, Lorna E. Thorpe, Elizabeth Lurie-Moroni, Claudia Chernov, Kathleen S. Tatem, Katharine H. McVeigh, Remle Newton-Dame, Sharon E. Perlman

Publikováno v: eGEMs
eGEMs, Vol 4, Iss 1 (2016)

Introduction: Electronic health records (EHRs) offer potential for population health surveillance but EHR-based surveillance measures require validation prior to use. We assessed the validity of obesity, smoking, depression, and influenza vaccination

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7957bf55a70daf9392c8e06e47e9c623
https://doi.org/10.13063/2327-9214.1267

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Texas youth: critical health problems and the need for nontraditional solutions

Autor: J M, Goldenring, S E, Barnett, C D, Baldwin, S, Tatem

Publikováno v: Texas medicine. 90(6)

Mortality in youthful age groups in the United States is largely violent and increasingly due to homicide involving inner-city dwelling males. The majority of these deaths also involve decreased mental capacity as a result of drug and alcohol abuse.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::775dffe8170dcafd8def455acd4739a0
https://pubmed.ncbi.nlm.nih.gov/8073375

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