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

Journals

  1. Byrne T, Baggett T, Land T, Bernson D, Hood M, Kennedy-Perez C, Monterrey R, Smelson D, Dones M, Bharel M, Sartorius B. A classification model of homelessness using integrated administrative data: Implications for targeting interventions to improve the housing status, health and well-being of a highly vulnerable population. PLOS ONE 2020;15(8):e0237905 View
  2. Hatef E, Predmore Z, C. Lasser E, Kharrazi H, Nelson K, Curtis I, Fihn S, P. Weiner J. Integrating social and behavioral determinants of health into patient care and population health at Veterans Health Administration: a conceptual framework and an assessment of available individual and population level data sources and evidence-based measurements. AIMS Public Health 2019;6(3):209 View
  3. Alegría M, NeMoyer A, Falgàs Bagué I, Wang Y, Alvarez K. Social Determinants of Mental Health: Where We Are and Where We Need to Go. Current Psychiatry Reports 2018;20(11) View
  4. Vaz L, Wagner D, Ramsey K, Jenisch C, Austin J, Jungbauer R, Felder K, Vega-Juarez R, Gomez M, Koskela-Staples N, Harris M, Zuckerman K. Identification of Caregiver-Reported Social Risk Factors in Hospitalized Children. Hospital Pediatrics 2020;10(1):20 View
  5. Byrne T, Montgomery A, Fargo J. Predictive modeling of housing instability and homelessness in the Veterans Health Administration. Health Services Research 2019;54(1):75 View
  6. Gansky S, Shafik S. At the crossroads of oral health inequities and precision public health. Journal of Public Health Dentistry 2020;80(S1) View
  7. Hindorff L, Bonham V, Ohno-Machado L. Enhancing Diversity to Reduce Health Information Disparities and Build an Evidence Base foR Genomic Medicine. Personalized Medicine 2018;15(5):403 View
  8. Hatef E, Rouhizadeh M, Tia I, Lasser E, Hill-Briggs F, Marsteller J, Kharrazi H. Assessing the Availability of Data on Social and Behavioral Determinants in Structured and Unstructured Electronic Health Records: A Retrospective Analysis of a Multilevel Health Care System. JMIR Medical Informatics 2019;7(3):e13802 View
  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
  11. Tan M, Hatef E, Taghipour D, Vyas K, Kharrazi H, Gottlieb L, Weiner J. Including Social and Behavioral Determinants in Predictive Models: Trends, Challenges, and Opportunities. JMIR Medical Informatics 2020;8(9):e18084 View
  12. Chen J, Chun D, Tijani-Eniola O. Risk Adjustment in Clinical Quality Measures: What Is Needed Next?. Population Health Management 2019;22(5):374 View
  13. Fico G, Martinez-Millana A, Leuteritz J, Fioravanti A, Beltrán-Jaunsarás M, Traver V, Arredondo M. User Centered Design to Improve Information Exchange in Diabetes Care Through eHealth. Journal of Medical Systems 2020;44(1) View
  14. Hansen H. Substance‐Induced Psychosis: Clinical‐Racial Subjectivities and Capital in Diagnostic Apartheid. Ethos 2019;47(1):73 View
  15. Vest J, Wu W, Mendonca E. Sensitivity and Specificity of Real-World Social Factor Screening Approaches. Journal of Medical Systems 2021;45(12) View
  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
  18. Hatef E, Singh Deol G, Rouhizadeh M, Li A, Eibensteiner K, Monsen C, Bratslaver R, Senese M, Kharrazi H. Measuring the Value of a Practical Text Mining Approach to Identify Patients With Housing Issues in the Free-Text Notes in Electronic Health Record: Findings of a Retrospective Cohort Study. Frontiers in Public Health 2021;9 View
  19. Cammy R. Electronic Health Record Tracking of Psychosocial Care in the Context of Serious Illness: A Narrative Review. Journal of Palliative Medicine 2024 View
  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 View