VASQIP Mortality Calculator

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

Not reported

Withheld from public reporting

Not reported

Mission

Topic area

Health and Medical

Operational functions

Clinical and medical Derived by keyword rules; see methodology

Problem the AI is intended to solve

Tracking Surgical Outcomes: Collecting data on surgical procedures and outcomes, such as complications, morbidity, and mortality rates. Benchmarking Performance: Comparing surgical outcomes at VA facilities against national standards and best practices to identify areas where performance can be improved. Quality Improvement Initiatives: Implementing targeted interventions and quality improvement projects based on the analysis of collected data to enhance patient care. Reporting and Accountability: Providing regular reports on surgical outcomes and quality metrics to promote transparency and accountability within the VA healthcare system.

Expected benefits

Increase Veteran safety for surgical procedures. Enhance patient outcomes by rigorously collecting and analyzing surgical data, identifying areas for improvement, and implementing evidence-based practices.

System outputs

The Veterans Affairs Surgical Quality Improvement Program (VASQIP) uses the Observed-to-Expected (O/E) ratio as a key metric to evaluate surgical outcomes. The O/E ratio is a statistical measure that compares the actual (observed) outcomes of surgical procedures to the expected outcomes based on national benchmarks and risk-adjusted models.

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)

Not reported

Custom-developed code

Yes

Public source code

Not reported

Sourcing

How it was built

Developed in-houseSource: b) Developed in-house

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