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What is SAS Health?

Elevate your digital transformation efforts while unlocking critical insights from your data with tailored health analytic solutions. With its user-friendly drag-and-drop interface, the SAS Health Cohort Builder empowers users to create and query cohorts based on temporal connections without requiring any coding experience. This intuitive tool facilitates the exploration of cohort characteristics and the effects of various inclusion or exclusion criteria on patient populations, aiding in the evaluation of study feasibility. Users can conveniently save cohort definitions for future applications, adjust them as necessary, and utilize them across various real-world data sources for comparative studies, ultimately saving both time and resources in the research process. Moreover, findings can be validated and further examined through in-memory processing and visualization capabilities within SAS or via other platforms like R, Python, as well as a range of third-party visualization tools. Conversely, SAS Health: Episode Builder grants you the flexibility to view and adjust episode definitions directly, putting you in control of the entire process. With SAS’s comprehensive documentation outlining the logic behind generating episodes of care, you can have confidence in the transparency and auditability of the underlying business rules, enhancing the integrity of your health data analytics. This blend of features not only streamlines the analytic process but also significantly positions SAS as a premier solution in the field of health analytics, making it an invaluable asset for healthcare professionals.

What is HINAI Web?

HIN+AI is a cutting-edge, mobile-focused HealthIT solution built on a blockchain-enabled electronic health record framework, which includes an XDS-compatible clinical content manager, a cloud-based multi-tenant patient administration platform, and adaptable practice management tools that support advanced data querying and analytics. The first iteration of HIN+AI features clinical decision support mechanisms, smart notifications, a scheduling interface that integrates with a Computerized Physician Order Entry (CPOE) system, and a results viewer, creating a dynamic electronic healthcare ecosystem that securely manages personal health information across smartphones, tablets, and computers. At its essence, deep learning is about identifying patterns through interlinked data points, and HIN+AI utilizes these methodologies to transform extensive EHR datasets into actionable knowledge and insights. Moreover, the blockchain technology embedded in HIN+AI guarantees the interoperability, integrity, and security of health information, empowering users to possess and control their data through cryptographically secure and unalterable exchange protocols. It also has the capability to consolidate and analyze data from a range of wearable health devices and sensors, further enriching the health management experience. This seamless integration not only optimizes data handling but also provides thorough insights into individual health patterns, helping users make informed decisions about their well-being. Ultimately, HIN+AI represents a significant advancement in digital health solutions, paving the way for a more personalized and secure approach to healthcare management.

Media

Media

Integrations Supported

Python

Integrations Supported

Python

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

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

SAS

Company Location

United States

Company Website

www.sas.com/en_us/software/health.html

Company Facts

Organization Name

ICT Health Technology Services India

Date Founded

2010

Company Location

United Arab Emirates

Company Website

www.icthealth.com

Categories and Features

Categories and Features

Hospital Management

Accounting Integration
Appointment Management
Appointment Scheduling
Bed Management
Billing & Invoicing
Claims Management
In-Patient Management
Inventory Management
Medical Billing
Out-Patient Management
Patient Records Management
Physician Management
Policy Management
Revenue Management

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