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Description
Ensure the well-being of your healthcare system with a thorough end-to-end solution designed to tackle pharmaceutical recalls. Currently, around 60% of hospitals in the United States utilize OneRecall™ to help mitigate legal risks, enhance patient safety, streamline regulatory reporting, and improve the overall process of managing recalls. By joining the OneRecall™ community, both providers and suppliers can automate the distribution of product alerts and engage in electronic remediation activities, which leads to significant savings in time and finances, while also prioritizing lives. Rapid communication of recall information to all parties affected within the healthcare supply chain is essential. We take pride in offering OneRecall™, which equips hospitals with a robust solution to address the increasing complexity of managing manufacturer recalls effectively. For more information about this or our other Inmar services, please reach out to us; we are eager to assist you. With aggregated and standardized recall notifications from a single source, the time taken from receiving product alerts to achieving recall resolution is considerably reduced, thus enhancing operational efficiency. This seamless process not only protects patients but also strengthens the trust between healthcare providers and their suppliers.
Description
Vectara offers LLM-powered search as-a-service. The platform offers a complete ML search process, from extraction and indexing to retrieval and re-ranking as well as calibration. API-addressable for every element of the platform. Developers can embed the most advanced NLP model for site and app search in minutes.
Vectara automatically extracts text form PDF and Office to JSON HTML XML CommonMark, and many other formats. Use cutting-edge zero-shot models that use deep neural networks to understand language to encode at scale. Segment data into any number indexes that store vector encodings optimized to low latency and high recall. Use cutting-edge, zero shot neural network models to recall candidate results from millions upon millions of documents. Cross-attentional neural networks can increase the precision of retrieved answers. They can merge and reorder results. Focus on the likelihood that the retrieved answer is a probable answer to your query.
API Access
Has API
No
API Access
Has API
No
Integrations
Datavolo
No
IBM watsonx.data
No
Langflow
No
MedEx
Yes
Model Context Protocol (MCP)
No
Integrations
Datavolo
Yes
IBM watsonx.data
Yes
Langflow
Yes
MedEx
No
Model Context Protocol (MCP)
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
Free
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
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Inmar Intelligence
Country
United States
Website
www.inmar.com/solutions/healthcare-cloud/onerecall-recall-management/onerecall-hospitals
Vendor Details
Company Name
Vectara
Founded
2020
Country
United States
Website
vectara.com
Product Features
Product Features
Enterprise Search
AI / Machine Learning
No
Faceted Search / Filtering
No
Full Text Search
No
Fuzzy Search
No
Indexing
No
Text Analytics
No
eDiscovery
No
