STATE · no agency ID · record R3248

Electronic Health Record AI Enhancements

Department of State · DT

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: High-impactSource: a) High-impact
Impact justification: Not reported
Start date: 2025-03-03 (day precision)Source: 03/03/2025 00:00:00
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Health and Medical
Operational functions: Summarization, Clinical and medical Derived by keyword rules; see methodology

Problem the AI is intended to solve

Provide efficient, accurate, and comprehensive medical electronic health record (EHR) management, patient care, and administrative workflows by leveraging AI-powered tools, including large language models (LLMs) and natural language processing (NLP).

Expected benefits

Improved operational efficiency, reduction of errors, and greater focus on delivering quality patient care. Improved patient data and safety with cost savings and operational efficiencies, transparency, and security. Enhanced clinical decision-making by summarizing patient information, identifying discrepancies, and generating referrals based on historical data and current inputs.

System outputs

Automated data extraction, validation, sentiment analysis, categorization, identification of document types, data discrepancies, and text summarization into structured medical chart components.

Technology

AI classification: Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
System name(s): MED-PLTR
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): Palantir
Vendors (standardized): Palantir

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

Data and privacy

Involves PII: Yes
Privacy Impact Assessment: www.state.gov ↗
Authorization to Operate: Yes
Demographic features: b) Sex; c) Age
Training and evaluation data: MED-defined policy and definitions
Federal Data Catalog: Not reported

Governance

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

Pre-deployment testingReported in placeSource: a) Yes

AI impact assessmentReported in progressSource: b) In-progress

Independent reviewReported in progressSource: d) In-progress

Ongoing monitoringReported in placeSource: a) Yes, sufficient monitoring protocols have been established

Operator trainingReported in placeSource: a) Yes, sufficient and periodic training has been established

Fail-safeReported in placeSource: a) Yes

Appeal processNot applicableSource: b) Not applicable

User and public consultationReported in placeSource: a) Direct usability testing

Potential impacts and how they were identified

Pending AI Impact Assessment