Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
At ArborMetrix, our aim is to enhance healthcare through data science, while our enthusiasm lies in providing impactful, user-friendly technology and analytics. Our advanced healthcare analytics solutions are designed to yield precise, clinically-rich insights that enhance clinical outcomes, boost financial effectiveness, add value for stakeholders, and evaluate the real-world success of treatments, procedures, medical devices, and pharmaceuticals. One of the significant benefits of patient registries is their application across various medical fields, with post-market surveillance standing out as a particularly important function. To assist you in establishing a reliable data resource, we follow a systematic approach. First, it’s essential to have an effective and secure method for gathering substantial amounts of real-world data, which is crucial for thorough analysis. By utilizing the appropriate technology, you can aggregate data from diverse sources such as medical records, regulatory bodies, and patient-reported outcomes to support post-market surveillance initiatives. This comprehensive approach not only streamlines the data collection process but also enhances the overall quality of insights derived from the analysis.
API Access
Has API
No
API Access
Has API
No
Integrations
AWS AI Services
Yes
Amazon Athena
Yes
Amazon QuickSight
Yes
Amazon SageMaker
Yes
Amazon Web Services (AWS)
Yes
Integrations
AWS AI Services
No
Amazon Athena
No
Amazon QuickSight
No
Amazon SageMaker
No
Amazon Web Services (AWS)
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/healthlake/
Vendor Details
Company Name
ArborMetrix
Founded
2011
Country
United States
Website
www.arbormetrix.com/registryx