Quality and Safety Review System AI-enabled automated abstraction

Section 1: Use Case Identifiers

Use Case ID: HHS-AHRQ-00006
Agency: HHS
Op Div/Staff Div: AHRQ
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.
What is the intended purpose and expected benefits of the AI?
The aim of this AI use case is to enhance or eliminate the need for manual abstraction of patient records and manual data entry into the QSRS tool, thereby streamlining the data entry process.

This AI use case has the potential to significantly help by increasing the volume of cases abstracted while maintaining or lowering government expenditure, thereby enabling more work to be done at the same or reduced cost. Additionally, it can maintain the number of cases abstracted with improved efficiency, thus also reducing government costs by achieving the same output at a lower cost. Furthermore, it will improve abstraction accuracy and expand AI/ML capabilities at both the national and local hospital levels while ensuring data quality improvements so there is trusted and reliable data for reporting purposes.
Describe the AI system's outputs.
This AI use case is designed to automate the data abstraction process once the OCR system has transformed PDF images into text. It also aims to automate data entry into the Quality and Safety Review System (QSRS), thereby increasing efficiency and accuracy.
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: 06/2024
Date when Acquisition and/or Development began: 10/2024
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.
75Q80122F80006
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?
No
Describe any agency-owned data used to train, fine-tune, and/or evaluate performance of the model(s) used in this use case.
N/A
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 is missing or not available
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: AHRQ AWS Enclave
How long have you waited for the necessary developer tools to implement the AI use case?
Less than 6 months
For this AI use case, is the required IT infrastructure provisioned via a centralized intake form or process inside the agency?
Yes
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?
Yes
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?
Limited documentation for review