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What is OneRecall?

Enhance the safety and efficiency of your healthcare system with a comprehensive solution specifically designed to address pharmaceutical recalls. Presently, approximately 60% of U.S. hospitals have adopted OneRecallâ„¢ to reduce legal liabilities, improve patient safety, simplify regulatory reporting, and streamline the entire recall management process. By becoming part of the OneRecallâ„¢ network, both healthcare providers and suppliers can automate the dissemination of product alerts and participate in electronic remediation efforts, yielding substantial time and cost savings while putting patient lives first. Swift communication of recall information throughout the healthcare supply chain is critical for protecting patients and ensuring safety. We are proud to present OneRecallâ„¢, a powerful tool that enables hospitals to navigate the growing complexities associated with manufacturer recalls effectively. Should you require further details regarding this service or any other offerings from Inmar, please do not hesitate to contact us; we are committed to assisting you. With consolidated and standardized recall notifications sourced from a single platform, the duration from the reception of product alerts to the resolution of recalls is significantly shortened, enhancing operational productivity. This efficient process not only safeguards patients but also bolsters the relationship of trust between healthcare providers and their suppliers, ultimately leading to a more reliable healthcare system overall. By prioritizing prompt action, we can ensure that patient safety remains at the forefront of healthcare operations.

What is CMEM Cloud?

CMEM Cloud functions as the connective synchronization layer for claude-mem, facilitating universal memory access for AI agents through a private MCP link. The open-source framework of claude-mem captures notes while agents execute tasks, and CMEM Cloud mirrors this local memory, granting agents the ability to retrieve it smoothly across various sessions, devices, editors, and MCP-compatible clients. This cutting-edge system removes the necessity for users to constantly reiterate context, transfer previous notes, or begin anew, as it automatically logs key decisions, bug fixes, dead ends, environmental observations, architectural choices, and other structured insights in real-time. These important insights are stored in a temporal database, enabling searches based on meaning through vector recall, and can be accessed via a private MCP endpoint that any compatible agent can use for reading and writing purposes. The process begins with the setup of the local engine, followed by the activation of a secondary model that autonomously generates structured notes, syncing the local database with CMEM Cloud, and ultimately allowing for memory recall from any location. This method not only boosts efficiency but also cultivates a more collaborative atmosphere among agents, as they can share insights with ease and contribute to a more cohesive working environment. As a result, agents can work more effectively together, leveraging shared knowledge to enhance their collective performance.

Media

Media

Integrations Supported

MedEx

Integrations Supported

Claude Code
Codex CLI
Cursor
Devin Desktop
Gemini CLI
Model Context Protocol (MCP)
OpenCode
claude-mem

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Inmar Intelligence

Company Location

United States

Company Website

www.inmar.com/solutions/healthcare-cloud/onerecall-recall-management/onerecall-hospitals

Company Facts

Organization Name

cmem.ai

Company Location

United States

Company Website

cmem.ai/

Categories and Features

Recall Management

Not specified

Categories and Features

Agentic AI

Not specified

AI Memory Layers

Not specified

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