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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

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

Verana Health operates as a platform for real-world data that converts both structured and unstructured information from electronic health records into curated, de-identified, disease-focused data modules through its clinician-informed and AI-enhanced VeraQ population health data engine. By aggregating data from key collaborations with prominent medical registries, including the American Academies of Ophthalmology, Neurology, and Urological Association, the platform integrates insights from over 20,000 clinicians and approximately 90 million patient records, thereby supplying high-quality datasets in near real-time for the purposes of generating real-world evidence, identifying clinical trial sites and subjects, reporting clinician quality, and managing medical registries. Users can access this wealth of information through cloud services like AWS Data Exchange and Amazon Redshift, which provide self-service API access, a user-friendly dashboard, and tools for customizable cohort discovery. Furthermore, the system employs advanced AI and machine learning algorithms along with comprehensive data quality assessments to ensure the reliability and accuracy of the information provided. This innovative approach not only facilitates efficient data utilization but also enhances the overall quality of healthcare research and practice.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS Data Exchange
Amazon Redshift

Integrations

AWS Data Exchange
Amazon Redshift

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

Verana Health

Country

United States

Website

veranahealth.com

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

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

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