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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

Patients may appear the same in person, within their electronic health records, and across claims, yet they possess distinct differences. For those categorized as high-risk, early identification of these variances can significantly influence the direction and intensity of their medical care. Currently, patients are experiencing a novel addition in their examinations: real-time advanced analytics. For instance, diabetes patients arriving at an emergency room were integrated into a real-time analytics system developed by Amitech, which empowered healthcare providers to quickly identify at-risk patients, leading to remarkable improvements in clinical results. This is merely one illustration of how innovative data sets combined with precise, state-of-the-art analytics can enable insurers and healthcare professionals to act decisively during critical moments. The potential of advanced analytics is vast, providing healthcare organizations with the ability to identify inefficiencies and hidden avenues for improvement. To fully harness the power of data, it is essential to implement a strategic approach that starts with a thorough analysis aimed at uncovering value opportunities specific to your organization, ultimately unlocking the true benefits of data-driven insights. By emphasizing this approach, healthcare providers can enhance their services and ensure better outcomes for their patients.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

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 Yes 
Live Rep (24/7) Yes 
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 Yes 

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/healthlake/

Vendor Details

Company Name

Amitech

Country

United States

Website

amitechsolutions.com/healthcare-data-analytics/

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