Scalable automated NLP-assisted chart abstraction and feature extraction tool

Section 1: Use Case Identifiers

Use Case ID: HHS-FDA-00010
Agency: HHS
Op Div/Staff Div: FDA
Use Case Topic Area: Mission-Enabling (internal agency support)
Is the AI use case found in the below list of general commercial AI products and services?
None of the above.
Describe the AI system's outputs.
Natural language processing (NLP), a computational linguistics technology, will be used to read, interpret and organize health data that may be contained within unstructured data fields within EHRs. This activity intends to build a semi-automated system that uses advanced methods and tools, including NLP, to enable large-scale outcome identification, confounder feature extraction, and longitudinal contextualization of Electronic Health Record (EHR) data.
Stage of Development: Acquisition and/or Development
Is the AI use case rights-impacting, safety-impacting, both, or neither?
Neither

Section 2: Use Case Summary

Date Initiated: 10/2022
Date when Acquisition and/or Development began: 09/2022
Date Implemented: N/A
Date Retired: N/A
Was the AI system involved in this use case developed (or is it to be developed) under contract(s) or in-house?
Developed with contracting resources.
Provide the Procurement Instrument Identifier(s) (PIID) of the contract(s) used.
75F40119D10037 - 7540119F19002
Is this AI use case supporting a High-Impact Service Provider (HISP) public-facing service?
N/A
Does this AI use case disseminate information to the public?
N/A
How is the agency ensuring compliance with Information Quality Act guidelines, if applicable?
N/A
Does this AI use case involve personally identifiable information (PII) that is maintained by the agency?
N/A
Has the Senior Agency Official for Privacy (SAOP) assessed the privacy risks associated with this AI use case?
ongoing

Section 3: Data and Code

Do you have access to an enterprise data catalog or agency-wide data repository that enables you to identify whether or not the necessary datasets exist and are ready to develop your use case?
Yes
Describe any agency-owned data used to train, fine-tune, and/or evaluate performance of the model(s) used in this use case.
Claims-Electronic Health Record (EHR) - (structured and unstructured)
Is there available documentation for the model training and evaluation data that demonstrates the degree to which it is appropriate to be used in analysis or for making predictions?
Documentation has been partially completed
Which, if any, demographic variables does the AI use case explicitly use as model features?
N/A
Does this project include custom-developed code?
N/A
Does the agency have access to the code associated with the AI use case?
N/A
If the code is open-source, provide the link for the publicly available source code.
N/A

Section 4: AI Enablement and Infrastructure

Does this AI use case have an associated Authority to Operate (ATO) for an AI system?
Yes
System Name: Sentinel
How long have you waited for the necessary developer tools to implement the AI use case?
6-12 months
For this AI use case, is the required IT infrastructure provisioned via a centralized intake form or process inside the agency?
No
Do you have a process in place to request access to computing resources for model training and development of the AI involved in this use case?
No
Has communication regarding the provisioning of your requested resources been timely?
Yes
How are existing data science tools, libraries, data products, and internally-developed AI infrastructure being re-used for the current AI use case?
None
Has information regarding the AI use case, including performance metrics and intended use of the model, been made available for review and feedback within the agency?
No documentation is available