Faster deployments. Greater impact.

ClosedLoop accelerates time to value by giving you a comprehensive library of easily modifiable templates for healthcare-specific predictive models, machine learning features, queries, and data transformation.

Build, deploy, and iterate faster than you ever thought possible.

Most data science platforms give you an empty toolbox. Only ClosedLoop kickstarts your AI/ML journey by filling this toolbox with a library of healthcare-specific AI/ML tools and content, enabling you to deliver measurable clinical value much faster than on any other platform.

Predictive Model Templates

Machine Learning Feature Templates

Report Templates

Data Adapter Templates

Healthcare Terminology Library


Customizable solutions at your fingertips.

Get a head start on delivering accurate and actionable predictions with ClosedLoop’s array of templates for common predictive use cases in healthcare built from experience serving a wide range of healthcare organizations. Discover solutions across typical healthcare use cases, including but not limited to:

  • Population health management
  • Utilization management
  • Revenue & operations
  • Quality & safety


Instant features.
Just add data.

With data scientists in short supply, you can’t afford to wait for your team to build years of healthcare knowledge. Hit the ground running with ClosedLoop’s constantly expanding library of templates for 4,000+ clinically relevant ML features useful in training models for typical healthcare use cases.

  • Social determinants of health (SDoH) features
  • Ability to create hundreds of features at once
  • Evidence-based feature templates
  • Monthly updates


Answers you need, right when you need them.

Defining reports across disparate data sources, deployments, and results is time-consuming. Get an instant snapshot across ML features, populations, and prediction results with ClosedLoop’s library of configurable, healthcare-specific report templates, including:

  • KPI dashboard tracking key trends
  • SDoH needs across geographies
  • Disease cohorts driving increased trend
  • Populations of interest


Rapid integration. Resilient data processing.

In-house AI / ML efforts often stop indefinitely when data transformation pipelines must be reengineered for production use. With ClosedLoop, your team can deliver value faster with data adapters that transform raw data into a standardized schema for use throughout training and production. Configurable templates for common data sources include:

  • Demographics
  • Diagnosis, procedure, & ADT histories
  • Medical & pharmacy claims
  • EHR encounters, labs, pre-integrated SDoH sources


Hassle-free healthcare terminologies.

Codes for new procedures, diagnoses, and drugs are constantly being added and can cause degradation of AI / ML performance. ClosedLoop’s terminology content ensures that your predictive models and data ingestion are up to date and eliminates effort spent on maintenance.

  • Clinical classifications and code sets
  • Quality measure and evidence-based value sets
  • Code relationship lookup across terminologies
  • FHIR server for storing and structuring terminologies


Case Study — Healthfirst Achieves Agile AI/ML in Healthcare

Learn how Healthfirst’s analytics team has dramatically enhanced its ability to train, test, and deploy AI-based …

A Framework for Measuring the ROI and Health Equity Impact of AI-Enabled Health Programs

Discover a useful framework that your organization can use to evaluate programs’ ROI and impact on health equity, …

ClosedLoop Named Best in KLAS 2023

ClosedLoop ranked #1 in Healthcare Artificial Intelligence: Data Science Solutions for the second year in a row. …

Make AI/ML a core element of your care strategy.

Get in touch today to see the ClosedLoop platform in action.