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AIM Data Overview

AIM Data Team

The AIM TA Center’s Data Team provides individualized technical assistance and capacity building to state and jurisdiction teams so data-driven quality improvement initiatives can be implemented at scale in a range of settings and contexts. Additionally, the AIM TA Center develops and maintains freely available data resources, such as project measurement strategies for AIM patient safety bundles and the AIM Data Center for quality improvement data collection, visualization, and reporting. Through expert guidance and resource development and sharing, the AIM TA Center helps state and jurisdiction teams meet their personal data and quality improvement goals.

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AIM Data Types

The AIM TA Center develops project measurement strategies for each patient safety bundle to support adoption and evaluation of rapid cycle quality improvement activities. We work with clinical and public health subject matter experts to identify metrics for quality improvement, balancing clinical and public health priorities with the feasibility of data collection and administrative burden.

The project measurement strategies for AIM patient safety bundles include common quality improvement measure types: Process, Structure, and Outcome Measures. We also include State Surveillance Measures.

Process Measures

Process measures are used to monitor the adoption and implementation of evidence-based practices. By using data to track processes of care and examining these data disaggregated by various characteristics, facility teams can identify areas for improvement and intervention.

Structure Measures

Structure measures are used to assess if standardized, evidence-based systems, protocols, and materials have been established to improve patient care. Through adoption and regular review of structures, facility teams improve their readiness to respond to an obstetric event and provide high quality care to every patient, every time.

Outcome Measures

Outcome measures can be used to examine changes that occur in the health of an individual, group of people, or population that can be attributed to the adoption of clinical best practices. Outcome measures include severe maternal morbidity and the rate of nulliparous, term, singleton, vertex Cesarean births, and should be disaggregated by a variety of characteristics to examine different health outcomes. Outcome measures are typically calculated by state and jurisdiction teams and shared with participating facilities.

State Surveillance Measures

Statewide, public health metrics used to monitor health outcomes that cannot be easily attributable to a specific facility.

AIM Data Collection Plans

Available for each patient safety bundle, AIM data collection plans serve as functional codebooks. Each plan provides an overview of data sources, measure definitions, bundle-specific metrics, and annotations tracking changes over time.

Download the Full List of Data Collection Plans
Screenshot of AIM PSB Data Collection plan pages