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What is SPH Analytics?

We are committed to improving health and wellness through a strategy that is informed by data and focused on prediction, while also fostering personal connections. Our methodology includes careful listening and a deep understanding of individual needs. With over three decades of expertise, SPH Analytics stands out in executing reliable healthcare survey management and providing high-quality analytic solutions. We have the expertise required to manage the entire survey administration process, allowing you to make informed decisions based on our advanced survey analytics. Employing sophisticated statistical methods like decision trees, bootstrapping, Bayesian techniques, neural networks, and machine learning, SPH produces insightful analytics that offer health plans critical information regarding their members' experiences. By engaging with patients and members in a customized way and utilizing the most suitable communication channels for each person, we effectively encourage healthy habits and ensure that educational materials are impactful. Our unwavering dedication to innovation and personalized interaction not only distinguishes us in the healthcare analytics field but also enhances the overall effectiveness of our services. In this way, we strive to ensure that every individual receives the attention and support they deserve on their health journey.

What is AWS HealthLake?

Integrate Amazon Comprehend Medical to extract valuable insights from unstructured data, allowing for efficient search and retrieval capabilities. Utilize Amazon Athena for predictive analysis in health data, while also employing Amazon SageMaker machine learning models and Amazon QuickSight for thorough analytics. It is essential to maintain compliance with standards such as Fast Healthcare Interoperability Resources (FHIR) to ensure effective interoperability. Implement cloud-based medical imaging solutions to increase scalability and reduce costs. AWS HealthLake offers a HIPAA-compliant platform that allows healthcare and life sciences organizations to achieve a chronological view of health data, facilitating extensive queries and analytics. Advanced analytical tools and machine learning models can be used to evaluate population health trends, predict outcomes, and effectively manage healthcare expenses. By pinpointing deficiencies in care delivery, organizations can initiate targeted interventions grounded in a comprehensive understanding of patient journeys. Moreover, applying sophisticated analytics and machine learning to structured data can enhance appointment scheduling and reduce unnecessary medical interventions, ultimately leading to better patient care. As the healthcare landscape continues to evolve, the adoption of these technologies will be vital for optimizing operations and enhancing overall health outcomes. This proactive approach not only benefits patients but also aids healthcare providers in delivering more efficient services.

Media

Media

Integrations Supported

AWS AI Services
Amazon Athena
Amazon QuickSight
Amazon SageMaker
Amazon Web Services (AWS)

Integrations Supported

AWS AI Services
Amazon Athena
Amazon QuickSight
Amazon SageMaker
Amazon Web Services (AWS)

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

SPH Analytics

Date Founded

1982

Company Location

United States

Company Website

www.sphanalytics.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/healthlake/

Categories and Features

Patient Management

Admissions Management
Bed Management
Discharge Management
Historical Reporting
Patient Flow Management
Patient Location Tracking
Patient Monitoring
Real Time Reporting
Waiting Time Tracking

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