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What is Qventus?

Moving beyond temporary fixes and isolated solutions, the Qventus platform provides a wide range of technologies designed to promote continuous operational improvement. It integrates effortlessly with your existing systems, giving you all the essential tools needed to create a holistic closed-loop management system. As the healthcare industry's first closed-loop system for operations management, Qventus excels in its capability to identify and foresee potential challenges across various timeframes—past, present, and future—before they manifest. This is achieved through a comprehensive suite of technologies that includes integration with electronic health records (EHRs) and other systems, as well as advanced data analytics, artificial intelligence, and machine learning to quickly identify and predict issues, complemented by situational awareness tools for real-time visibility across different levels of the organization. Yet, merely identifying problems is not enough; it is crucial to empower frontline teams with the resources and information they need to tackle these challenges effectively. By adopting this all-encompassing strategy, organizations can significantly boost their operational efficiency and enhance patient care outcomes, ultimately leading to a more resilient healthcare system. Furthermore, this proactive approach ensures that healthcare providers can adapt to evolving demands and improve overall service delivery.

What is COLUMBO?

A universal multivariable optimizer, designed for closed-loop systems, aims to improve the performance and quality of Model Predictive Control (MPC) systems. This optimizer harnesses data from Excel files derived from Dynamic Matrix Control (DMC) by Aspen Tech, Robust Model Predictive Control Technology (RMPCT) from Honeywell, or Predict Pro from Emerson, facilitating the development and fine-tuning of precise models for various multivariable-controller variable (MV-CV) pairs. This cutting-edge optimization solution does away with the need for step tests that are usually required by Aspen Tech and Honeywell, functioning entirely in the time domain to maintain user-friendliness, compactness, and efficiency. As Model Predictive Controls (MPC) often involve numerous dynamic models—sometimes tens or even hundreds—there is a significant risk of utilizing incorrect models. Inaccurate dynamic models in MPCs can introduce bias, which appears as model prediction errors, leading to inconsistencies between expected signals and actual sensor measurements. COLUMBO emerges as a robust tool to bolster the precision of Model Predictive Control (MPC) models, effectively leveraging either open-loop or fully closed-loop data to guarantee peak performance. By tackling the risks associated with errors in dynamic models, COLUMBO not only enhances the reliability of the control system but also contributes to a more efficient operational framework. Ultimately, its implementation is expected to yield substantial advancements in control system effectiveness across various applications.

Media

Media

Integrations Supported

Care Director
EPIC HRMS
MEDITECH Expanse

Integrations Supported

Aspen DMC3
Microsoft Excel

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

Qventus

Company Location

United States

Company Website

qventus.com/platform/

Company Facts

Organization Name

PiControl Solutions

Company Location

United States

Company Website

www.picontrolsolutions.com/products/columbo/

Categories and Features

Healthcare

Not specified

Healthcare AI

Not specified

Patient Management

Not specified

Categories and Features

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