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Average Ratings 0 Ratings
Description
EVIDENS is an advanced AI platform that facilitates the discovery of digital cohorts, enhances research capabilities, promotes collaboration, and enables the sharing of insights across extensive hospital data sets. With the ability to swiftly annotate and convert your data into AI-compatible formats, users can efficiently filter populations by various clinical outcomes or demographic factors. The platform allows for limitless keyword filtering by training AI models to perform targeted searches. Furthermore, users can explore and establish criteria for cohort identification with the support of intelligent AI tools. Training AI models to automate the analysis process and categorize data into distinct groups can be done quickly and efficiently. The platform outputs AI-ready cohorts to facilitate the testing of clinical hypotheses in research studies. Users can effortlessly monitor the status and tasks related to all their projects and collaborators, while also being able to observe and engage with activities aligned with their research interests. Additionally, collaborative tools are provided to enable simultaneous efforts in creating, training, and validating AI models, fostering a productive research environment. Ultimately, EVIDENS streamlines the entire research process, making it more efficient and effective for all involved.
Description
OMOPHub serves as a hosted terminology API designed for healthcare data teams, health informatics engineers, and researchers who engage with OMOP and OHDSI datasets. It offers API access to a wide range of standardized clinical concepts sourced from over 120 vocabularies, featuring capabilities such as semantic and multilingual search, cross-vocabulary mappings, and tools for navigating hierarchies and resolving clinical terms. For applications based on FHIR, it provides dedicated terminology endpoints, while SDKs available in Python, R, and Node.js facilitate the incorporation of vocabulary lookups into data pipelines and software solutions. An MCP server is available to deliver terminology functions compatible with AI clients. OMOPHub is invaluable for teams focusing on clinical data normalization, ETL processes, cohort creation, analytics, and research workflows that require consistent concept identifiers. This service is provided as a SaaS API, featuring a free tier for basic usage, various paid plans tailored for larger workloads, and an option for private cloud deployment to meet specific organizational needs. Furthermore, its flexible architecture allows for easy integration into existing systems, enhancing the overall efficiency of healthcare data management.
API Access
Has API
No
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
Model Context Protocol (MCP)
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$0/month
Free: $0/month for 3,000 API calls per month, with no overage charges. Pro: $39/month for up to 50,000 calls; Scale: $79/month for up to 125,000 calls; Business: $149/month for up to 250,000 calls. Private Cloud deployment is available for AWS, Google Cloud, or Azure.
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Imagia
Founded
2015
Country
Canada
Website
imagia.com/our-platform/
Vendor Details
Company Name
OMOPHub
Founded
2025
Country
Czech Republic
Website
omophub.com
Product Features
Artificial Intelligence
Chatbot
No
For Healthcare
No
For Sales
No
For eCommerce
No
Image Recognition
No
Machine Learning
No
Multi-Language
No
Natural Language Processing
No
Predictive Analytics
No
Process/Workflow Automation
No
Rules-Based Automation
No
Virtual Personal Assistant (VPA)
No