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What is MphRx Minerva?

Value-driven healthcare is fundamentally anchored in the availability of timely, accurate, and reliable information. Leverage the Minerva Healthcare Data Platform to unify clinical and claims data from multiple systems into a single FHIR® repository. Built on a foundation of FHIR® standards and designed to be vendor-neutral, Minerva aggregates data from your care delivery network, promoting seamless data exchange, enhancing analytical capabilities, and ensuring adherence to Cures Act stipulations. The platform features a collection of ready-to-deploy data connectors that allow for rapid ingestion of information from various clinical and claims sources. By utilizing established healthcare standards and customized data formats, you can incorporate data in real-time or through batch processing options. Integrating data from your clinical network with payer information creates a holistic view of patient data, which significantly contributes to better care outcomes. This comprehensive strategy not only enhances operational efficiency but also encourages a more profound comprehension of patient requirements, ultimately leading to more personalized care solutions. By prioritizing this integration, healthcare providers can ensure they are meeting the evolving needs of their patients effectively.

What is AWS HealthLake?

Integrate Amazon Comprehend Medical to extract valuable insights from unstructured data, allowing for efficient search and retrieval capabilities. Utilize Amazon Athena for predictive analysis in health data, while also employing Amazon SageMaker machine learning models and Amazon QuickSight for thorough analytics. It is essential to maintain compliance with standards such as Fast Healthcare Interoperability Resources (FHIR) to ensure effective interoperability. Implement cloud-based medical imaging solutions to increase scalability and reduce costs. AWS HealthLake offers a HIPAA-compliant platform that allows healthcare and life sciences organizations to achieve a chronological view of health data, facilitating extensive queries and analytics. Advanced analytical tools and machine learning models can be used to evaluate population health trends, predict outcomes, and effectively manage healthcare expenses. By pinpointing deficiencies in care delivery, organizations can initiate targeted interventions grounded in a comprehensive understanding of patient journeys. Moreover, applying sophisticated analytics and machine learning to structured data can enhance appointment scheduling and reduce unnecessary medical interventions, ultimately leading to better patient care. As the healthcare landscape continues to evolve, the adoption of these technologies will be vital for optimizing operations and enhancing overall health outcomes. This proactive approach not only benefits patients but also aids healthcare providers in delivering more efficient services.

Media

Media

Integrations Supported

Integrations Supported

AWS AI Services
Amazon Athena
Amazon QuickSight
Amazon SageMaker
Amazon Web Services (AWS)

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Android
iPhone
iPad

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

MphRx

Date Founded

2011

Company Location

United States

Company Website

www.mphrx.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/healthlake/

Categories and Features

Electronic Medical Records (EMR)

Appointment Management
Charting
Compliance Tracking
HIPAA Compliant
Meaningful Use Certified
Patient Portal
Self Service Portal

Healthcare Analytics

Not specified

Healthcare Compliance

Not specified

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