Extracting social determinants of health from electronic health records using natural language processing: a systematic review

BG Patra, MM Sharma, V Vekaria… - Journal of the …, 2021 - academic.oup.com
Objective Social determinants of health (SDoH) are nonclinical dispositions that impact
patient health risks and clinical outcomes. Leveraging SDoH in clinical decision-making can …

Cohort profile of the South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLaM BRC) case register: current status and recent …

G Perera, M Broadbent, F Callard, CK Chang… - BMJ open, 2016 - bmjopen.bmj.com
Purpose The South London and Maudsley National Health Service (NHS) Foundation Trust
Biomedical Research Centre (SLaM BRC) Case Register and its Clinical Record Interactive …

[HTML][HTML] Social and behavioral determinants of health in the era of artificial intelligence with electronic health records: a scoping review

KBS Agnikula, E Balls-BerryJoyce Joy - Health Data Science, 2021 - spj.science.org
Background. There is growing evidence that social and behavioral determinants of health
(SBDH) play a substantial effect in a wide range of health outcomes. Electronic health …

Stigma, biomarkers, and algorithmic bias: recommendations for precision behavioral health with artificial intelligence

CG Walsh, B Chaudhry, P Dua, KW Goodman… - JAMIA …, 2020 - academic.oup.com
Effective implementation of artificial intelligence in behavioral healthcare delivery depends
on overcoming challenges that are pronounced in this domain. Self and social stigma …

Predictors of employment outcomes in veterans with traumatic brain injury: a VA traumatic brain injury model systems study

C Dillahunt-Aspillaga… - The Journal of head …, 2017 - journals.lww.com
Objectives: To examine the length of time to return to work (RTW) among service members
and veterans (SM/V) with traumatic brain injury (TBI) and to identify variables predictive of …

Extracting social determinants of health from clinical note text with classification and sequence-to-sequence approaches

B Romanowski, A Ben Abacha… - Journal of the American …, 2023 - academic.oup.com
Objective Social determinants of health (SDOH) are nonmedical factors that can influence
health outcomes. This paper seeks to extract SDOH from clinical texts in the context of the …

Identifying Predictors of Suicide in Severe Mental Illness: A Feasibility Study of a Clinical Prediction Rule (Ox ford M ental I llness and S uicide Tool or OxMIS)

M Senior, M Burghart, R Yu, A Kormilitzin, Q Liu… - Frontiers in …, 2020 - frontiersin.org
Background Ox ford M ental I llness and S uicide tool (OxMIS) is a brief, scalable, freely
available, structured risk assessment tool to assess suicide risk in patients with severe …

[HTML][HTML] Automated extraction of diagnostic criteria from electronic health records for autism spectrum disorders: development, evaluation, and application

G Leroy, Y Gu, S Pettygrove, MK Galindo… - Journal of medical …, 2018 - jmir.org
Background Electronic health records (EHRs) bring many opportunities for information
utilization. One such use is the surveillance conducted by the Centers for Disease Control …

Enriching real-world data with social determinants of health for health outcomes and health equity: successes, challenges, and opportunities

Z He, E Pfaff, SJ Guo, Y Guo, Y Wu… - Yearbook of Medical …, 2023 - thieme-connect.com
Objective: To summarize the recent methods and applications that leverage real-world data
such as electronic health records (EHRs) with social determinants of health (SDoH) for …

[HTML][HTML] Enhancing veteran community reintegration research (ENCORE): protocol for a mixed methods and stakeholder engagement project

K Besterman-Dahan, B Hahm… - JMIR Research …, 2023 - researchprotocols.org
Background: Veteran community reintegration (CR) has been defined as participation in
community life, including employment or other productive activities, independent living, and …