HHS · no agency ID · record R0974

TB DEPOT (Tuberculosis Data Exploration Portal)

Department of Health and Human Services · HHS/NIH

Overview

Development stage: DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
High-impact designation: Not high-impactSource: c) Not high-impact
Impact justification: Not reported
Start date: 2019-01 (month precision)Source: Jan-19
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Science
Operational functions: Clinical and medical Derived by keyword rules; see methodology

Problem the AI is intended to solve

There was a lack of deidentified, multidimensional tuberculosis socioeconomic, clinical, imaging, and pathogen genomic data available for researchers to use in developing models and learning more about TB cases.

Expected benefits

Provide a no-code application for users to explore and analyze multidimensional TB Portals data.

System outputs

User selects "cohorts" of tuberculosis cases from TB Portals containing structured clinical/socioeconomic, pathogen genomic, and imaging data for analysis as inputs. The outputs include confusion matrices, cohort comparisons, and visualizations like feature importance in the model. Outputs are available within the application and via an API.

Technology

AI classification: Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…
System name(s): NIAID TB Portals
Custom-developed code: Yes
Public source code: Not reported

Sourcing

How it was built: Contract and in-houseSource: c) Developed with both contracting and in-house resources
Vendor (as reported): Deloitte, Guidehouse, Research Data and Communication Technologies Corp.
Vendors (standardized): DeloitteGuidehouse

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII: No
Privacy Impact Assessment: Not reported
Authorization to Operate: Yes
Demographic features: b) Sex
Training and evaluation data: TB Portals data is used to train, fine tune and evaluate performance of the model.
Federal Data Catalog: Not reported

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Pre-deployment testingNo answer reported

AI impact assessmentNo answer reported

Independent reviewNo answer reported

Ongoing monitoringNo answer reported

Operator trainingNo answer reported

Fail-safeNo answer reported

Appeal processNo answer reported

User and public consultationNo answer reported

Potential impacts and how they were identified

Not reported