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Description
DoubleJump Interchange is a collaborative platform hosted in the cloud that seamlessly merges data from both clinical and real-world environments to enhance cooperation between researchers and healthcare practitioners, ultimately aiming to improve the health of consumers. Consumers, along with their extended care teams, benefit from a diverse array of health information sourced from hospitals, clinics, and remote monitoring technologies, enabling them to engage in personalized, socially supported, and timely disease prevention and management. Researchers are provided with a rich pool of clinical, molecular, and real-world data, facilitating the discovery of new disease targets and identifying biomarkers that predict treatment responses effectively. By sharing clinical expertise throughout a network of healthcare providers, the platform strives to advance the principles of precision medicine. Furthermore, it accelerates the accessibility of intricate data sets, thereby driving innovation in both translational research and healthcare delivery processes. This interconnected approach not only enhances collaboration but also supports the overarching goal of elevating overall consumer health outcomes.
Description
Engage with a medical-focused generative AI that not only elucidates its responses but also cites relevant references, refreshes its medical knowledge on a daily basis, and allows users to personalize and select knowledge bases. This AI comes equipped with a pre-loaded database and has been trained using over 2,300 reference datasets put together by experts in the medical field, encompassing a wide array of terminologies, medical research, clinical trials, patents, population health insights, costs, as well as public and regulatory information. It indexes numerous sources of medical research and data, ensuring a comprehensive understanding of the available information. The system is designed to receive daily updates on the latest medical findings, clinical trial results, and evolving terminologies, making it capable of processing vast quantities of documents, potentially reaching into the millions or billions. Moreover, the cluster can be scaled according to specific requirements. As a type of conversational AI, a medical chatbot employs natural language processing (NLP) technologies to communicate with users, delivering valuable medical information, guidance, or assistance. These chatbots serve various functions, including addressing general inquiries regarding diseases, health concerns, and available treatment options, thus enhancing the accessibility of medical knowledge for users everywhere.
API Access
Has API
API Access
Has API
Integrations
No details available.
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
PwC
Founded
1998
Country
United Kingdom
Website
www.pwc.com/us/en/products/double-jump.html
Vendor Details
Company Name
John Snow Labs
Country
United States
Website
www.johnsnowlabs.com/medical-chatbot/
Product Features
Product Features
Chatbot
Call to Action
Context and Coherence
Human Takeover
Inline Media / Videos
Machine Learning
Natural Language Processing
Payment Integration
Prediction
Ready-made Templates
Reporting / Analytics
Sentiment Analysis
Social Media Integration