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ClosedLoop

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About

ClosedLoop is a specialized healthcare data science platform designed to provide individual-level health risk predictions that are accurate, explainable, and actionable. Unlike traditional rules-based systems, this platform utilizes advanced machine learning to identify patients at risk of adverse health events before they occur. By focusing on predictive insights, healthcare organizations can shift from reactive care to proactive interventions, ultimately improving patient outcomes while reducing unnecessary clinical and operational costs. The platform’s core technology includes a Healthcare Content Library, which provides users with a comprehensive set of modifiable templates for predictive models, machine learning features, and data transformations. This library is specifically tailored for the complexities of healthcare data, significantly reducing the manual effort required for data preparation and accelerating the time-to-value for new deployments. Additionally, the suite features Healthy, a conversational AI application that offers a consumer-facing wellness tracking experience through a simple chat interface. ClosedLoop is built for a wide variety of roles within the healthcare ecosystem. Providers and Accountable Care Organizations (ACOs) use it to target interventions for high-risk populations, while Payers utilize its analytics to manage costs and clinical results. Pharmaceutical companies and Digital Health firms also benefit from the platform by identifying specific patient needs and maximizing the potential of their healthcare data. The system is designed to handle various data types, including Social Determinants of Health (SDoH), to provide a more holistic view of patient risk. What distinguishes ClosedLoop from other data science tools is its deep specialization in the healthcare sector and its proven track record. It has been recognized as the Best in KLAS for healthcare AI for several consecutive years and was the winner of the CMS AI Health Outcomes Challenge. Furthermore, the platform prioritizes security and trust, maintaining HITRUST certification and HIPAA compliance, which are essential for any organization handling sensitive medical information.

Pros & Cons

Recognized as a Best in KLAS healthcare AI leader for four consecutive years (2022-2025).

Winner of the CMS AI Health Outcomes Challenge, proving high predictive accuracy.

Provides explainable AI insights so clinicians can understand the 'why' behind risk scores.

Includes a specialized library of pre-built healthcare data models to speed up implementation.

Maintains rigorous HITRUST and HIPAA certifications for enterprise-grade data security.

Pricing is not transparently listed and requires a formal demo request.

Requires complex healthcare data integration which may be challenging for smaller organizations.

The primary platform is focused strictly on healthcare, making it unsuitable for other industries.

Use Cases

ACO administrators can identify patients at highest risk for future adverse events to target proactive clinical interventions.

Health insurance payers can use AI models to outperform rules-based systems in predicting and managing annual member spend.

Pharma researchers can analyze large datasets to find populations that will most benefit from specific life-saving medications.

Data science teams can use the Healthcare Content Library to quickly deploy modifiable templates for predictive modeling projects.

Individual consumers can use the Healthy app to log health data and receive personalized wellness insights via a chat interface.

Platform
Web
Task
healthcare prediction

Features

explainable ai results

clinical and financial impact evaluation

modifiable predictive templates

conversational ai wellness app

social determinants of health (sdoh) integration

data science automation

healthcare content library

individual-level health risk predictions

FAQs

What types of organizations does ClosedLoop serve?

ClosedLoop is designed for healthcare stakeholders including Providers, Accountable Care Organizations (ACOs), Payers, Pharma companies, and Digital Health startups. Each can use the platform to predict specific health outcomes and manage costs.

How does ClosedLoop ensure the security of patient data?

The platform is built with healthcare-grade security and maintains HITRUST Certification and HIPAA compliance. These standards ensure that sensitive medical data is handled with the highest level of regulatory protection.

Can the platform integrate Social Determinants of Health (SDoH) data?

Yes, ClosedLoop allows organizations to enrich their predictive models with SDoH data. This helps identify individuals likely to incur high costs due to environmental or community-based factors that traditional data might miss.

What is the purpose of the Healthcare Content Library?

The library provides pre-built, modifiable templates for healthcare-specific predictive models and data transformations. It is designed to accelerate deployment times by reducing the manual work required for data science preparation.

Is the Healthy conversational AI app free to use?

Yes, the Healthy app is currently offered for free, allowing individuals to track their personal health and wellness through a simple chat-based interface. It serves as a consumer-facing extension of ClosedLoop's AI technology.

Pricing Plans

Enterprise Platform
Unknown Price

Healthcare Content Library

Predictive model templates

Data science automation

Explainable AI predictions

SDoH data integration

HIPAA and HITRUST compliance

Custom data transformation

Account-level support

Healthy App
Free Plan

Conversational AI interface

Personalized wellness tracking

Log health data via chat

Learn from health trends

Free mobile access

Job Opportunities

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ClosedLoop

Sales Representative

Improve patient outcomes and reduce healthcare costs with an AI-powered data science platform providing accurate, explainable, and actionable risk predictions.

salesonsiteAustin, USfull-time

Benefits:

  • 100% employer-paid medical insurance

  • flexible PTO

  • paid parental leave

  • 401(k)

  • uncapped commission

Experience Requirements:

  • 5+ years selling EMRs or healthcare SaaS to physician practices

  • Existing relationships with practice owners or managers

  • Strong understanding of independent provider practice operations

  • Comfort selling financial outcomes and Medicare economics

  • Familiarity with modern sales methodologies

Other Requirements:

  • Ability to operate independently and own a territory

  • Build long-term relationships

  • Help build and refine successful sales processes

Responsibilities:

  • Sell Healthy directly to independent physician practices

  • Own and grow a defined Texas territory

  • Lead conversations with practice owners and decision-makers

  • Show practices how ACCESS translates into real Medicare revenue

  • Close preferred referral / revenue partner agreements

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