HHS · no agency ID · record R0711

Auto-Suggest Journal Tool

Department of Health and Human Services · HHS/CDC

Overview

Development stage: In development or acquisitionSource: a) Pre-deployment – The use case is in a development or acquisition status.
High-impact designation: Not high-impactSource: c) Not high-impact
Impact justification: Not reported
Start date: Not reported
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Administrative Functions
Operational functions: No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

It can be challenging and time-consuming for NCHS staff to research journals and gather the pertinent information to guide a decision of which journal to target for publication. Important information to consider when identifying a target journal includes the journal’s field or subject matter, word limits, formatting and submission guidelines, whether the journal is open access, the impact factor, and acceptance rate. Existing tools use keyword searching, term frequencies, and word similarity scoring to identify potential journal matches, but AI presents the potential for a more effective approach that can consider more factors.

Expected benefits

Reduction in researcher time spent searching through journal databases and websites to identify specific information about publication requirements.

System outputs

The tool will output a list of the top matching journals along with key information about each journal, such as the field or subject matter of the journal, word limit, whether the journal is open access, impact factor, and acceptance rate.

Technology

AI classification: Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
System name(s): Not reported
Custom-developed code: Not reported
Public source code: Not reported

Sourcing

How it was built: Not reported
Vendor (as reported): Not reported
Vendors (standardized): None on the standard list

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

Data and privacy

Involves PII: Not reported
Privacy Impact Assessment: Not reported
Authorization to Operate: Not reported
Demographic features: Not reported
Training and evaluation data: Not reported
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