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What is Consensus Unite?

With Consensus, your team can significantly reduce the complications associated with juggling multiple digital platforms and applications for communication with patients, providers, and plans throughout the day. Its intuitive, inbox-style interface facilitates the efficient management of both incoming and outgoing patient data, supporting secure messaging through the DirectTrust framework and enabling real-time requests for patient information via Carequality, including those linked through CommonWell Health Alliance, as well as facilitating connections with data exchange networks such as ACOs and HIEs, digital faxes, and more. By adopting Consensus, you benefit from a comprehensive application that consolidates all your patient information, ensuring true data fluidity and digital interoperability. This automation and simplification of data exchange empower you to effectively oversee and coordinate care delivery for your patient population, thereby enhancing your staff's productivity and ultimately improving the quality of patient care. Furthermore, Consensus enables your team to redirect their attention towards what genuinely matters—providing outstanding care to your patients while streamlining operational efficiency.

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

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

Integrations Supported

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

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

Consensus Cloud Solutions

Company Location

United States

Company Website

www.consensus.com/unite/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/healthlake/

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