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Description
HIN+AI represents a mobile-centric, advanced #HealthIT solution designed around a blockchain-based electronic health record system, featuring an XDS-compatible clinical content manager, cloud-based multi-tenant patient administration system, and practice management tools with customizable data querying and analytical functions. The initial version of HIN+AI incorporates clinical decision support tools, intelligent notifications, a scheduling system with an integrated Computerized Physician Order Entry (CPOE), and a results viewer, making it a robust electronic medicine environment that securely stores your personal data on smartphones, tablets, or PCs. At its core, deep learning focuses on recognizing patterns through interconnected data points, and HIN+AI leverages these techniques to convert vast EHR datasets into meaningful knowledge and practical insights. Furthermore, the blockchain functionality of HIN+AI ensures the interoperability, integrity, and security of health data, allowing users to own and manage their data through cryptographically secured and immutable exchange systems. Additionally, it can aggregate and analyze information from various wearable health devices and sensors, enhancing the overall health management experience. This integration not only streamlines data processing but also offers comprehensive insights into individual health trends.
Description
Enhance your digital transformation journey while uncovering valuable insights from your data with customized health analytic solutions. Featuring an intuitive drag-and-drop interface, SAS Health Cohort Builder allows users to query and create cohorts based on temporal relationships without any coding skills necessary. This user-friendly tool enables easy exploration of cohort traits and the impact of various inclusion or exclusion criteria on patient groups, assisting in assessing the feasibility of studies. You have the capability to save cohort definitions for future use, modify them as needed, and apply them across different real-world data resources for comparative analysis, ultimately conserving both time and resources. Additionally, you can validate findings and conduct further analyses through in-memory processing and visualization in SAS or other platforms such as R, Python, and various third-party visualization applications. On the other hand, SAS Health: Episode Builder empowers you with the ability to view and modify episode definitions directly, ensuring that you have control over the process. With SAS’s fully documented logic to generate episodes of care, you can rest assured that the underlying business rules are both transparent and subject to audit at any time, further enhancing the reliability of your health data analytics. This combination of features positions SAS as a leading tool in the realm of health analytics.
API Access
Has API
API Access
Has API
Integrations
Python
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
ICT Health Technology Services India
Founded
2010
Country
United Arab Emirates
Website
www.icthealth.com
Vendor Details
Company Name
SAS
Country
United States
Website
www.sas.com/en_us/software/health.html
Product 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
