Using LLM to optimize National Health Interview Survey (NHIS) case note information
The National Health Interview Survey (NHIS) employs Census field representatives (FRs) who use open text fields, referred to as ‘case notes,’ to document their interactions with h…
Use of National Language Processing/Machine Learning to Identify Personal Identifiers in Health Center EHR Medication Data
The NLP/ML processes being used are attempting to identify personal identifiers within EHR data fields that capture medication information such as name of medication and dosage of…
AI-Assisted Extraction of Circumstance Information from National Violent Death Reporting System Narratives
The National Violent Death Reporting System (NVDRS) compiles both quantitative and qualitative data on the circumstances surrounding violent deaths, including homicides and suicid…
Leveraging GenAI for Efficient Review of CDC Programmatic Reports
Manual qualitative review of text data within programmatic reports, such as Annual Progress Reports (APRs) submitted by Injury Control Research Centers (ICRCs) and Drug Free Commu…
Bridging the gap: Leveraging natural language processing to identify reasons for buprenorphine discontinuation in Electronic Health Records
Life-saving treatment for opioid use disorder (OUD), such as the FDA-approved medication buprenorphine, remains underutilized. Buprenorphine has been shown to reduce illicit opioi…
Vaccine Tracking System (VTrckS) Conversational AI Pilot
The VTrckS Conversational AI module will provide a user-friendly prompt driven approach to gaining insights into the VTrckS datasets. Current approach involves utilizing the SAP H…
FERRET
High throughput processing of unstructured data necessary for mandated reporting.
Center for Forecast and Analytics (CFA) Model Studio
This tool is intended to provide streamlined infrastructure around allowing users to bring their own models or discover existing ones and evaluate them in a streamlined way. For e…