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What is Qure.ai?

We develop cutting-edge AI solutions aimed at empowering healthcare professionals during pivotal moments in the medical workflow. From preventive screenings and early diagnosis to urgent interventions and managing disease outbreaks, our technology streamlines processes across the entire healthcare continuum. Collaborating with respected healthcare organizations and harnessing extensive data to refine our algorithms, we ensure our AI adheres to the highest international regulatory standards. Backed by thorough research in data science, our products are tailored to anticipate healthcare demands, particularly in complex scenarios. Our AI solutions are ready for immediate deployment, versatile enough to adapt to a wide range of environments and situations as required. They integrate effortlessly with your current technological infrastructure and can be tailored to work with your preferred devices. We offer clear and efficient options for deployment and scaling while prioritizing top-notch data security that meets industry benchmarks. Moreover, our dedicated team is here to assist you throughout every step of your AI implementation process, making certain you feel supported and confident. By incorporating our solutions, you have the opportunity to revolutionize healthcare delivery and significantly enhance patient outcomes, ultimately leading to a more effective and responsive healthcare system.

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.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
On-Site Training

Training Options

Online Training

Company Facts

Organization Name

Qure.ai

Date Founded

2016

Company Location

India

Company Website

qure.ai/

Company Facts

Organization Name

Perception Health

Date Founded

2014

Company Location

United States

Company Website

www.perceptionhealth.com/care

Categories and Features

Disease Management

Not specified

Healthcare

Not specified

Healthcare AI

Not specified

Medical Imaging

Not specified

Categories and Features

Disease Management

Not specified

Healthcare Analytics

Not specified

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