Ambient Scribing with Patient Chart Exploration

Overview

Development stage

In development or acquisitionSource: a) Pre-deployment – The use case is in a development or acquisition status.

High-impact designation

High-impactSource: a) High-impact

Impact justification

Not reported

Start date

Not reported

Withheld from public reporting

Not reported

Mission

Topic area

Health and Medical

Operational functions

Summarization, Translation and transcription, Clinical and medical Derived by keyword rules; see methodology

Problem the AI is intended to solve

The typical clinical workflow in primary care is complex, with numerous interruptions and areas of friction. I want to understand how AI could augment my flow by replacing the lower-tier cognitive work and allowing me to focus on making decisions and providing counseling. Much of this cognitive load is now invisible, even to myself. For example, for a patient with diabetes, I may spend time hunting down the appropriate labs and medication history as well as summarizing the subjective information they've shared over the years about the difficulties they've had in adherence. If this could be done for me, similar to what a clinical assistant or medical trainee may do, I would be better able to care for my patient in the here and now. There are many people working on optimizing ambient scribing and AI summarization/querying. My goal is not to create a state of the art version of either, but to focus on understanding how basic versions of these tools could help me. That may include context-aware changes in data presentation, the use of visualization, and improvements in search and browsing.

Expected benefits

This tool could help replace the lower-tier cognitive work and allow me to focus on making decisions, providing counseling, and overall, be better able to care for my patients. The hope would be to create a framework that would be available through Clinical Decision Support (CDS) or another internal VA platform, allowing clinicians to customize chart data for their own workflows. Improved scribing, natural language processing and AI summarization could be swapped in as they develop further over time.

System outputs

Context- and diagnosis- aware chart browsing, AI summarization of chart data, and draft clinical notes based on chart data and transcripts.

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.

Potential impacts and how they were identified

Not reported