Zohaib Akhtar

Background: Social determinants of health (SDoH), such as socioeconomics and neighborhoods, strongly influence health outcomes. However, the current state of standardized SDoH data in electronic health records (EHRs) is lacking, a significant barrier to research and care quality.Methods: We conducted a PubMed search using “SDOH” and “EHR” Medical Subject Headings terms, analyzing included articles across five domains: 1) SDoH screening and assessment approaches, 2) SDoH data collection and documentation, 3) Use of natural language processing (NLP) for extracting SDoH, 4) SDoH data and health outcomes, and 5) SDoH-driven interventions.Results: Of 685 articles identified, 324 underwent full review. Key findings include implementation of tailored screening instruments, census and claims data linkage for contextual SDoH profiles, NLP systems extracting SDoH from notes, associations between SDoH and healthcare utilization and chronic disease control, and integrated care management programs. However, variability across data sources, tools, and outcomes underscores the need for standardization.Discussion: Despite progress in identifying patient social needs, further development of standards, predictive models, and coordinated interventions is critical for SDoH-EHR integration. Additional database searches could strengthen this scoping review. Ultimately, widespread capture, analysis, and translation of multidimensional SDoH data into clinical care is essential for promoting health equity.

Background Social determinants of health (SDoH) like socioeconomics and neighborhoods strongly influence outcomes, yet standardized SDoH data is lacking in electronic health records (EHR), limiting research and care quality. Methods We searched PubMed using keywords “SDOH” and “EHR”, underwent title/abstract and full-text screening. Included records were analyzed under five domains: 1) SDoH screening and assessment approaches, 2) SDoH data collection and documentation, 3) Use of natural language processing (NLP) for extracting SDoH, 4) SDoH data and health outcomes, and 5) SDoH-driven interventions. Results We identified 685 articles, of which 324 underwent full review. Key findings include tailored screening instruments implemented across settings, census and claims data linkage providing contextual SDoH profiles, rule-based and neural network systems extracting SDoH from notes using NLP, connections found between SDoH data and healthcare utilization/chronic disease control, and integrated care management programs executed. However, considerable variability persists across data sources, tools, and outcomes. Discussion Despite progress identifying patient social needs, further development of standards, predictive models, and coordinated interventions is critical to fulfill the potential of SDoH-EHR integration. Additional database searches could strengthen this scoping review. Ultimately widespread capture, analysis, and translation of multidimensional SDoH data into clinical care is essential for promoting health equity.

Purpose A delay in breast cancer treatment is associated with inferior survival outcomes; however, no clear guidelines exist defining the appropriate time frame from diagnosis to definitive treatment of breast cancer. A multidisciplinary approach for breast cancer treatment can minimize the time from diagnosis to first treatment. We hypothesized single-day multidisciplinary clinic (MDC) may accelerate the time to first treatment on complex breast cancer cases at our institution. Methods We identified patients who were treated at Johns Hopkins for stage II or III breast cancer, who were at least 18 years of age, and were seen in a new single-day MDC with coordination between two or three specialties or by specialists from varying disciplines on different days (IDC). Patients who initiated treatment between May 2015 (initiation of MDC clinic) and December 2017 were included in our study. Results A total of 296 patient records were reviewed independently. The mean (SD) patient age was 55 (13) years. The median time to first neoadjuvant chemotherapy (NACT) was significantly reduced for patients seen in the MDC (12.7 days), compared to those seen at the IDC (24.4 days, logrank p < 0.001). The median time to definitive surgery was similar between groups (31 and 32 days for the MDC and IDC cohorts, respectively). Conclusions A single-day MDC visit is associated with a reduced time from diagnosis to NACT. Further studies are needed to determine if a shorter interval can improve the management and the outcome of complex breast cancer cases.