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What is Perception Health CARE?

Elevate your risk management capabilities and enhance the quality of care for your community by utilizing the disease prediction models available in CAREâ„¢. Our platform offers an extensive overview of medical claims data on a national level, which can be customized to address the precise requirements of our clients in detail. By analyzing billions of medical claims, our advanced models identify critical risk factors associated with early disease onset or the need for surgical procedures. With access to this essential information, healthcare professionals can begin diagnoses and treatments sooner, potentially saving lives in the process. Although our prediction models are developed using a vast array of national data, they are equally adaptable to your own electronic health records, population health systems, or member claims databases, allowing for a more tailored approach. Moreover, our physician matching functionality connects patients with the most appropriate healthcare providers, improving their treatment journey toward the best possible outcomes. Utilizing clinically relevant data, our state-of-the-art disease prediction models can detect individuals at risk of developing various conditions, empowering you to reach out and start treatment before issues worsen. This proactive approach not only leads to better patient outcomes but also streamlines the overall healthcare delivery process, ultimately benefiting the entire community. By embracing these tools, healthcare organizations can transform their approach to patient care and risk management.

What is DeLorean AI Medical AI?

Medical AI signifies a remarkable technological leap that addresses chronic health issues with efficiency. This cutting-edge solution is notable for its ability to predict future outcomes, suggest the best courses of action, and present information in an easily digestible format. By enhancing human decision-making, DeLorean Medical AI is paving a path toward a future where machines and humans work together to achieve exceptional results. Our technology not only improves health outcomes but is also pioneering as the first AI system validated biologically through independent clinical trials. Through its ability to refine patient demographic classifications, evaluate risk factors, and anticipate changes in disease progression, Medical AI is essential for the early identification and diagnosis of numerous medical conditions. Moreover, it plays a significant role in lowering costs within healthcare frameworks. With more than ten clients currently leveraging our innovative solution, it has successfully demonstrated its potential to generate savings and minimize expenses by utilizing real-time analytics that highlight at-risk groups and provide evidence-based recommendations for action. As the landscape of healthcare continues to change, the incorporation of such advanced technologies will be crucial in promoting enhanced patient care and efficient resource allocation. The ongoing development of Medical AI indicates a promising future for patient health management and systemic healthcare improvements.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Online Training

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

Perception Health

Date Founded

2014

Company Location

United States

Company Website

www.perceptionhealth.com/care

Company Facts

Organization Name

DeLorean AI

Company Location

United States

Company Website

deloreanai.com/medical-ai/

Categories and Features

Disease Management

Not specified

Healthcare Analytics

Not specified

Categories and Features

Healthcare AI

Not specified

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