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support

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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

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Datavolo
IBM watsonx.data
Langflow
MedEx

Integrations

Datavolo
IBM watsonx.data
Langflow
MedEx

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
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

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

Enterprise Search

AI / Machine Learning
Faceted Search / Filtering
Full Text Search
Fuzzy Search
Indexing
Text Analytics
eDiscovery

Alternatives

Alternatives

Semantee Reviews

Semantee

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