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What is HealthEM.AI?

Imagine an innovative strategy for care management that effectively reduces healthcare costs, minimizes both initial and subsequent hospital admissions, improves star ratings and HEDIS metrics, and enhances overall health quality and outcomes through a mission-driven data platform powered by artificial intelligence. As the healthcare industry shifts toward value-based care, Health EM.AI stands at the forefront, transforming care management and optimizing care delivery by harnessing advanced data utilization and AI technology. By consolidating patient data from diverse care environments and employing AI/ML-based predictive analytics, we provide healthcare organizations with actionable insights that markedly improve care quality. This method guarantees tangible enhancements at the individual patient level, especially in the realms of palliative and chronic care management workflows. The integration of a comprehensive patient 360 data model across all care scenarios drives significant progress in star ratings, risk adjustment, and the successful closure of care gaps. Furthermore, our localized healthcare models analyze over 1,000 clinical and non-clinical factors based on geographical specifics, which further sharpens care effectiveness. Ultimately, this all-encompassing approach not only leads to improved patient outcomes but also cultivates a more streamlined and effective healthcare ecosystem, paving the way for sustainable advancements in patient care.

What is CodaMetrix?

Medical professionals often enter their field without a focus on mastering coding techniques. We are transforming the future of the revenue cycle with autonomous coding powered by artificial intelligence. Currently, our platform serves over a dozen prominent healthcare organizations and systems, which include more than 200 hospitals and 50,000 healthcare providers. The sophisticated coding AI system developed by CodaMetrix adeptly translates clinical data into accurate medical codes that are crucial for both patient care and the revenue cycle, supporting various care models such as fee-for-service and value-based care. This automation process is designed to be seamless, transparent, and fully traceable. By leveraging CodaMetrix's cutting-edge, multi-specialty autonomous medical coding platform, we continuously analyze and apply clinical evidence extracted from electronic health records. Our system autonomously transforms clinical notes into billing codes that comply with coding regulations, ensuring that claims truly mirror the complex and detailed nature of each patient's care journey. This significantly reduces the workload on human coders while improving overall efficiency. Consequently, healthcare providers can dedicate more time and resources to patient care, enabling them to deliver better services and outcomes. The advancements in AI-driven coding are not just a benefit to administrators but also to patients, as they lead to more accurate billing and improved healthcare experiences.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

HealthEM.AI

Company Location

United States

Company Website

www.healthem.ai/

Company Facts

Organization Name

CodaMetrix

Company Location

United States

Company Website

www.codametrix.com

Categories and Features

Categories and Features

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