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What is HealthVerity Census?

Real-time patient identity resolution is accomplished by effectively mastering and linking data as it is generated. Through the transformation of protected health information into universal and de-identified HealthVerity IDs, organizations in the life sciences can successfully map and share the patient journey across various partner datasets, thereby creating a consistent and accurate source of truth regarding patient identity. This method also promotes internal data sharing between diverse organizational departments, which deepens the overall insight into the patient experience. Moreover, it enables flexible external data exchanges with organizations such as patient registries, health insurers, and other relevant firms. HealthVerity Census acts as a foundational step in crafting a data strategy that prioritizes activation, interoperability, and the long-term monitoring of patient information. By leveraging a sophisticated PaaS de-identification solution, it facilitates the activation of both internal and external data points, dismantling the silos that frequently keep vital information isolated within the organization. These robust capabilities ultimately lead to enhanced patient outcomes and support more informed decision-making throughout the healthcare sector. As a result, the integration of data across various platforms becomes a critical factor in advancing healthcare effectiveness.

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

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

HealthVerity

Date Founded

2015

Company Location

United States

Company Website

healthverity.com/solutions/healthverity-census/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/healthlake/

Categories and Features

Identity Resolution

Not specified

Life Sciences

Not specified

Categories and Features

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