This paper is in the following e-collection/theme issue:

Tools, Programs and Algorithms (275) Natural Language Processing (706) Electronic Health Records (1068)

Published on in Vol 5, No 3 (2017): Jul-Sept

Optimizing the Use of Electronic Health Records to Identify High-Risk Psychosocial Determinants of Health

Optimizing the Use of Electronic Health Records to Identify High-Risk Psychosocial Determinants of Health

Optimizing the Use of Electronic Health Records to Identify High-Risk Psychosocial Determinants of Health

Authors of this article:

Nicolas Michel Oreskovic1, 2 Author Orcid Image ;   Jennifer Maniates3 Author Orcid Image ;   Jeffrey Weilburg2, 4 Author Orcid Image ;   Garry Choy2, 5 Author Orcid Image
Article Authors Cited by (21) Tweetations (7) Metrics

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  9. Vaz L, Wagner D, Jungbauer R, Ramsey K, Jenisch C, Koskela-Staples N, Everist S, Austin J, Harris M, Zuckerman K. The Role of Caregiver-Reported Risks in Predicting Adverse Pediatric Outcomes. Journal of Pediatric Psychology 2020;45(8):957 View
  10. Mahindroo S, Smith A, Roberts G. Audit of paediatrician recognition of children's vulnerability to harm at the Royal Children's Hospital, Melbourne. Journal of Paediatrics and Child Health 2021;57(1):80 View
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  14. Hansen H. Substance‐Induced Psychosis: Clinical‐Racial Subjectivities and Capital in Diagnostic Apartheid. Ethos 2019;47(1):73 View
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  16. Smith M, Vaughan Sarrazin M, Wang X, Nordby P, Yu M, DeLonay A, Jaffery J. Risk from delayed or missed care and non‐COVID‐19 outcomes for older patients with chronic conditions during the pandemic. Journal of the American Geriatrics Society 2022;70(5):1314 View
  17. Berg K, Doktorchik C, Quan H, Saini V. Automating data collection methods in electronic health record systems: a Social Determinant of Health (SDOH) viewpoint. Health Systems 2023;12(4):472 View
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  20. Chandler M, Cai T, Santacroce L, Ulysse S, Liao K, Feldman C. Classifying Individuals With Rheumatic Conditions as Financially Insecure Using Electronic Health Record Data and Natural Language Processing: Algorithm Derivation and Validation. ACR Open Rheumatology 2024;6(8):481 View
  21. Li C, Mowery D, Ma X, Yang R, Vurgun U, Hwang S, Donnelly H, Bandhey H, Senathirajah Y, Visweswaran S, Sadhu E, Akhtar Z, Getzen E, Freda P, Long Q, Becich M. Realizing the potential of social determinants data in EHR systems: A scoping review of approaches for screening, linkage, extraction, analysis, and interventions. Journal of Clinical and Translational Science 2024;8(1) View