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What is Midas Health Analytics?

Coordinating care effectively, evaluating quality, identifying risks, and ensuring compliance are critical processes that depend on data from numerous sources and systems, ultimately improving the experiences of both patients and healthcare providers. Midas Health Analytics provides cutting-edge solutions aimed at boosting both operational and clinical efficiency through effective risk management, cost optimization, and the conversion of data into actionable insights. By consistently monitoring and analyzing performance trends, organizations can proactively mitigate risks, make educated decisions amid changing regulations, and cultivate a secure environment for patient care. Attaining exceptional operational efficiency becomes possible while assessing, analyzing, and communicating quality of care performance metrics to stakeholders, thereby navigating the intricate challenges of today's healthcare environment. This strategy not only heightens accountability but also encourages a culture of ongoing improvement within healthcare organizations, paving the way for better patient outcomes and enhanced service delivery.

What is Jvion?

Jvion goes beyond traditional predictive analytics by revealing hidden patient risks tied to various health conditions and clinical situations, while also exploring how these risk patterns can be redirected to achieve better outcomes. Through the use of our prescriptive AI, we provide personalized recommendations for patients by analyzing an extensive range of elements, including clinical, socioeconomic, and behavioral data alongside established best practices. This valuable insight equips healthcare organizations to improve quality, decrease costs, and enhance the overall experience for patients. We examine a diverse set of clinical, socioeconomic, environmental, and behavioral information to identify unnoticed health and financial vulnerabilities. By focusing on modifiable patient traits, we craft targeted action plans tailored to each individual. Our methodology offers evidence-driven, prioritized, and patient-specific guidelines that integrate smoothly into existing workflows. In response to the ongoing pandemic, the importance of home care has been revitalized, as numerous patients now opt for at-home treatment to lower their risk of exposure to Covid-19 and other health threats. This significant shift highlights the urgent need for innovative healthcare solutions that address the changing requirements of patients in a post-pandemic era, ultimately fostering a more adaptable healthcare ecosystem.

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

symplr

Company Location

United States

Company Website

www.symplr.com/products/symplr-midas-health-analytics

Company Facts

Organization Name

Jvion

Date Founded

2011

Company Location

United States

Company Website

jvion.com

Categories and Features

Hospital Management

Accounting Integration
Appointment Management
Appointment Scheduling
Bed Management
Billing & Invoicing
Claims Management
In-Patient Management
Inventory Management
Medical Billing
Out-Patient Management
Patient Records Management
Physician Management
Policy Management
Revenue Management

Categories and Features

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

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