How We Used EHR Data to Develop the SS/SI NLP Pipeline

2 Data

2.1 Data Sources

2.2 SS and SI Categories

3 Methods

3.1 Lexicon Creation and Expansion

3.2 Annotations

3.3 System Description

4 Results

4.1 Demographics and 4.2 System Performance

5 Discussion

5.1 Limitations

6 Conclusion, Reproducibility, Funding, Acknowledgments, Author Contributions, and References

SUPPLEMENTARY

Guidelines for Annotating Social Support and Social Isolation in Clinical Notes

Other Supervised Models

2 DATA

2.1 Data Sources

We used EHR data from two sites (MSHS and WCM) to develop the SS/SI NLP pipeline. First, we used 286,692 notes from 33,800 patients derived from the MSHS data warehouse. Notes are from psychiatric inpatient, psychiatric emergency department (ED), and psychiatry consult-liaison encounters between 2011 and 2020. Advantages of the corpus include relative consistency in documentation style and comprehensive biopsychosocial patient ...