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Description
Connect is a powerful module designed to swiftly load any corpus, irrespective of its type or origin, while also managing the metadata linked to each document. Proxem’s API provides the flexibility to integrate various tools with our technology, enabling the analysis of documents at set intervals and the leveraging of results from Semantic Analysis using external applications, in addition to performing terminology extraction, spell checking, and language identification, all executed in real time. Furthermore, Proxem Studio empowers users to gain in-depth insights into the subjects that are significant to both customers and employees through Sentiment Analysis and automated message classification. It also includes features like Customized Ranking Plans, Data Mining capabilities, visualizations of customer journeys, impact assessments, and the distribution of dashboards and alerts, all while identifying subtle trends and signals in the data. This comprehensive suite ultimately enhances decision-making processes by providing a clearer understanding of audience sentiments and behaviors.
Description
SANCARE is an innovative start-up focused on applying Machine Learning techniques to hospital data. We partner with leading experts in the field to enhance our offerings. Our platform delivers an ergonomic and user-friendly interface to Medical Information Departments, facilitating quick adoption and usability. Users benefit from comprehensive access to all documents forming the electronic patient record, ensuring a seamless experience. As an effective production tool, our solution meticulously tracks each phase of the coding procedure for external validation. By leveraging machine learning, we can create robust predictive models that analyze vast data sets while considering contextual factors—capabilities that traditional rule-based systems and semantic analysis tools fall short of providing. This enables the automation of intricate decision-making processes and the identification of subtle signals that may go unnoticed by human analysts. The machine learning engine behind SANCARE is grounded in a probabilistic framework, allowing it to learn from a significant volume of examples to accurately predict the necessary codes without any explicit guidance. Ultimately, our technology not only streamlines coding tasks but also enhances the overall efficiency of healthcare data management.
API Access
Has API
API Access
Has API
Integrations
No details available.
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
Proxem
Founded
2007
Country
France
Website
www.proxem.com/en/
Vendor Details
Company Name
SANCARE
Country
France
Website
www.sancare.fr/
Product Features
Business Intelligence
Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics
Product Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization