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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
Sift clarifies the complexities of healthcare payment processes by embedding actionable insights into revenue cycle operations, enabling healthcare organizations to enhance payment results and minimize collection costs. By providing healthcare providers with crucial information on denial management, Sift empowers them to safeguard their receivables and expedite cash inflows. It compiles insurance claims and patient financial information into a secure, HIPAA-compliant, cloud-based database, ensuring a reliable source of information regarding healthcare payments. Furthermore, Sift addresses the disconnects between a provider's electronic health records, clearinghouse, workflow management tools, and patient interaction platforms. By consolidating data from these various sources, Sift creates a distinctive and proprietary dataset that offers comprehensive oversight of payment processes. Utilizing a range of data science methods, Sift delivers thorough and cohesive recommendations for managing denials, evaluating payers, enhancing patient collections, and improving patient acquisition strategies, ultimately leading to better overall financial performance for healthcare practitioners. This innovative approach not only streamlines operations but also fosters a more efficient healthcare payment ecosystem.
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
Sift Healthcare
Founded
2017
Country
United States
Website
www.sifthealthcare.com