Creating a development network
Description
The AI is intended to solve the problem of inconsistent data formats and inefficient access to unstructured clinical data across multiple healthcare sites. It aims to standardize EHR and claims data conversion into the Sentinel Common Data Model and develop processes for storing and extracting metadata from free text notes to enable timely execution of future Sentinel surveillance tasks.
Detailed example
Creates a network of organizations that can support development of algorithms and use of AI tools such as Natural Language Processing (NLP).
AI / analytics pattern
Natural Language Processing: AI that processes, interprets, and shares information in human language.
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
Methods project applying Natural Language Processing (NLP) to extract data from clinical notes to use in pharmacoepidemiology studies, improving FDA's ability to monitor drug safety using real-world healthcare data.
Controls / human review
ATO: Yes; PIA: Not published
Data needed
Electronic Health Record (EHR)