Clinical Pathways for Cancer Patients

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

Not reported

Mission

Topic area

Health and Medical

Operational functions

Document processing and extraction, Clinical and medical Derived by keyword rules; see methodology

Problem the AI is intended to solve

The VA National Oncology Program (NOP) has invested in creating clinical pathways that guide providers to provide high quality evidence-based standard of care treatments to Veterans with cancer. However, it is currently unclear how many or how often providers are ‘on pathway’ or are concordant with this recommendation. The work will focus on leveraging AI to assess the degree of adoption of various pathways. For example, the VA NOP proposes to develop, evaluate, and implement an informatics workflow that is capable of extracting information regarding whether a Veteran with prostate cancer has been offered access to germline and somatic genetic testing. This will assess care quality across the VA in terms of genetic testing in Veterans with prostate cancer and provide the necessary information to engage in quality improvement efforts. The work will follow the framework NOP developed to assess germline genetic testing in Veterans with breast cancer, in response to the Advances in Mammography and Medical Options (MAMMO) for Veterans Act of 2022. Briefly, Veterans receiving care for prostate cancer in the VA will be identified using electronic health information in the VA Corporate Data Warehouse and their latest relevant clinical notes will be retrieved.

Expected benefits

Increase efficiency: it will speed up providers' review of patients' treatment plans based on the National Oncology Program guideline, since patients' pathway information will be highlighted. This makes it easier for the providers to make better treatment decisions for the patient, therefore potentially improving patient outcomes.

System outputs

Whether a patient is on a clinical pathway and where on the clinical pathway they are

Technology

AI classification

Natural language processingSource: Natural Language Processing: AI that processes, interprets, and shares information in human language.

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