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Description
Utilize Amazon Comprehend Medical to derive insights from unstructured data, facilitating efficient search and query processes. Forecast health-related trends through Amazon Athena queries, alongside Amazon SageMaker machine learning models and Amazon QuickSight analytics. Ensure compliance with interoperable standards, including the Fast Healthcare Interoperability Resources (FHIR). Leverage cloud-based medical imaging applications to enhance scalability and minimize expenses. AWS HealthLake, a service eligible for HIPAA compliance, provides healthcare and life sciences organizations with a sequential overview of individual and population health data, enabling large-scale querying and analysis. Employ advanced analytical tools and machine learning models to examine population health patterns, anticipate outcomes, and manage expenses effectively. Recognize areas to improve care and implement targeted interventions by tracking patient journeys over time. Furthermore, enhance appointment scheduling and reduce unnecessary medical procedures through the application of sophisticated analytics and machine learning on newly structured data. This comprehensive approach to healthcare data management fosters improved patient outcomes and operational efficiencies.
Description
On-demand patient identity resolution is achieved by efficiently mastering and connecting data in real-time. By converting protected health information into universal, de-identified HealthVerity IDs, organizations within the life sciences sector can effectively construct and disseminate the patient journey across various partner datasets, thereby establishing a unified source of truth regarding patient identity. This approach also facilitates internal data sharing among different organizational departments, enhancing the overall understanding of the patient journey. Furthermore, it allows for adaptable external data exchanges with entities such as patient registries, health insurers, and other associated companies. HealthVerity Census serves as an initial step toward developing a data strategy focused on activation, interoperability, and the longitudinal tracking of patient information. Utilizing an advanced PaaS de-identification solution, it empowers the activation of both internal and external data touchpoints, breaking down silos that often isolate critical information within the enterprise. These comprehensive capabilities ultimately contribute to improved patient outcomes and more informed decision-making across the healthcare landscape.
API Access
Has API
API Access
Has API
Integrations
AWS AI Services
Amazon Athena
Amazon QuickSight
Amazon SageMaker
Amazon Web Services (AWS)
Integrations
AWS AI Services
Amazon Athena
Amazon QuickSight
Amazon SageMaker
Amazon Web Services (AWS)
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/healthlake/
Vendor Details
Company Name
HealthVerity
Founded
2015
Country
United States
Website
healthverity.com/solutions/healthverity-census/
