Observational analysis reveals low response rates for social determinants of health in patient surveys, suggesting improved data capture through electronic health records.
Key Points
The analysis indicates that traditional patient surveys yield low response rates, limiting effective social determinants of health capture.
Of 50 patient charts reviewed, 45 showcased relevant social determinants, highlighting potential in electronic health records.
A comprehensive literature-informed approach was employed to develop a targeted social determinants of health keyword list for efficient data retrieval.
Enhancing machine learning algorithms with natural language processing may significantly improve social needs data extraction in health systems.