Zhou, Li


Allergy alerting and overrides for opioid analogues across two health systems.

Principal Investigator

Understanding the patient experience of drug reaction with eosinophilia and systemic symptoms: A qualitative study.

Principal Investigator

Understanding the patient experience of drug reaction with eosinophilia and systemic symptoms: A qualitative study.

Principal Investigator

Dynamic reaction picklist for improving allergy reaction documentation: A usability study.

Principal Investigator

Using Large Language Models to Identify Social Determinants of Health to Enhance Healthcare Services and Equity

Description

This research explores using natural language processing and generative AI to capture and structure social determinants of health from patient narratives, aiming to improve data completeness and quality, enhance clinical decision support, and reduce the manual burden on clinical staff in routine care.

Grant Number
R21 HS029991
Principal Investigator(s)

Methods for identifying and reconciling allergy information in the electronic health record.

Principal Investigator

Drug reaction with eosinophilia and systemic symptoms in patients hospitalized with COVID-19: A case series from a large US healthcare system.

Principal Investigator

Expanding the reaction picklist in electronic health records improves allergy documentation.

Principal Investigator

Reconciling allergy information in the electronic health record after a drug challenge using natural language processing.

Principal Investigator