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What is Verana Health?

Verana Health functions as a sophisticated platform for real-world data, transforming both structured and unstructured elements from electronic health records into curated, de-identified, disease-specific data modules via its clinician-informed and AI-augmented VeraQ population health data engine. By consolidating information through essential partnerships with leading medical registries, such as the American Academy of Ophthalmology, Neurology, and Urological Association, the platform combines insights from over 20,000 healthcare professionals and nearly 90 million patient records, thus offering high-quality datasets in near real-time for generating real-world evidence, pinpointing clinical trial sites and subjects, monitoring clinician performance, and maintaining medical registries. Users benefit from this extensive data repository through cloud services like AWS Data Exchange and Amazon Redshift, which feature self-service API access, an intuitive dashboard, and tools for personalized cohort exploration. Additionally, the system utilizes state-of-the-art AI and machine learning algorithms alongside thorough data quality evaluations to guarantee the dependability and precision of the information supplied. This pioneering method not only streamlines data application but also significantly improves the quality of healthcare research and practice, fostering an environment where informed decisions can be made with confidence. Ultimately, Verana Health exemplifies how technology can bridge the gap between clinical data and actionable insights, shaping the future of medical research.

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

AWS Data Exchange
Amazon Redshift

Integrations Supported

AWS Data Exchange
Amazon Redshift

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

Verana Health

Company Location

United States

Company Website

veranahealth.com

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

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

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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