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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
Our extensive and adaptable range of solutions and services is built upon a strategic framework aimed at empowering organizations to understand and forecast trends within populations, actively involve individuals, their families, and care teams in proactive measures, and effectively oversee health outcomes for improved well-being. Unlike traditional medicine, which typically concentrates on the individual and equates "health" with the absence of disease, population health management broadens the scope by enhancing initiatives across whole groups and prioritizing the management and prevention of chronic conditions. To successfully oversee the outcomes of population health, it is crucial to address the underlying causes of health issues, allowing for the anticipation, prevention, and management of such challenges before they arise. By integrating clinical data with social determinants of health (SDoH), healthcare providers can gain valuable insights that not only improve individual care but also foster collaborations with communities to promote overall health and wellness. Ultimately, this holistic approach aims to create healthier populations and more effective healthcare systems.
API Access
Has API
API Access
Has API
Integrations
AWS AI Services
Amazon Athena
Amazon QuickSight
Amazon SageMaker
Amazon Web Services (AWS)
Arrendale Associates
CloudApper EMR Link
CrandallMenus
Crosby Health Apollo
HelioMetrics
Integrations
AWS AI Services
Amazon Athena
Amazon QuickSight
Amazon SageMaker
Amazon Web Services (AWS)
Arrendale Associates
CloudApper EMR Link
CrandallMenus
Crosby Health Apollo
HelioMetrics
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
Oracle
Founded
1979
Country
United States
Website
www.oracle.com/health/population-health/
Product Features
Product Features
Population Health Management (PHM)
Analytics
Cost-of-Care Analysis
Data Storage
EMR/EHR Integration
Patient Engagement
Patient Identification
Patient Risk Stratification
Patient-Reported Outcomes
Payment Bundling
Predictive Alerts
Test & Treatment Reminders
Utilization Tracking