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What is Open mHealth?

Data schemas establish the framework and details of various information types, such as glucose levels in the blood, which directly impacts how software applications handle that data. Frequently, systems need to integrate information from diverse devices or platforms, each offering its own distinct presentation of data. When all data pertinent to a particular measurement, such as blood glucose, conforms to a standardized schema, it significantly enhances the ease of analysis and interpretation, irrespective of its initial source. A unified schema serves as a reliable reference point for documentation, enabling the utilization of data across various contexts. In healthcare, the significance of shared data schemas is amplified due to the complexity and critical nature of health-related information. For example, distinguishing between fasting and non-fasting glucose levels is vital for precise clinical assessments and informed decision-making. This common understanding not only allows healthcare providers to communicate effectively but also fosters collaboration among different specialties to ensure patients receive the best care possible. Ultimately, a cohesive approach to data schemas in healthcare can lead to improved outcomes and more efficient healthcare systems.

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.

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

Open mHealth

Company Location

United States

Company Website

www.openmhealth.org

Company Facts

Organization Name

symplr

Company Location

United States

Company Website

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

Categories and Features

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

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