Quantivly exhibits at RSNA 2022 with AI-driven software to transform the way radiology leaders manage operations and increase access to imaging for the population.

The company’s vision is to develop a “digital twin” for radiology facilities to monitor, simulate and optimize operations with software before implementing them in the real world.

SOMERVILLE, Mass., November 21, 2022 /CNW/ — Quantivly is highlighting new advances in artificial intelligence (AI)-powered software to improve efficiency in medical imaging. North America (RSNA) meeting Chicago From November 27 to December 1. The company’s technology will also be the subject of several scientific works to improve MRI efficiency.

Despite its important role in diagnosing disease and guiding treatment, radiology is under severe economic pressure as reimbursement rates decline for many routine scans. At the same time, the volume of procedures is rising with an aging population, and the specialty is experiencing staffing challenges for both radiologists and radiologic technologists, adding urgency to the need to operate more efficiently.

A spin-off from Boston Children’s Hospital, Quantivly realized that many pieces of operational data to improve radiology operations already exist, but are disorganized and located in different silos within a hospital. Quantivly solves this “data liquidity” problem by extracting image metadata and radiology information system (RIS) messages in real time, cleaning and harmonizing them with the company’s Harmonization Engine to make the data fully queryable, and building a new ontology. describes radiology operations.

Quantivly’s platform provides key insights to help imaging facilities run more smoothly and improve operational efficiency. The software goes beyond manual measurement of key performance indicators (KPIs) to give leaders an automated 360° view of their operations, providing insight into parameters that were previously difficult to measure.

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Quantivly has an ambitious vision to build a “digital twin” for radiology operations, offering leaders a new way to manage operations. Digital twins are virtual representations of existing physical systems that allow users to simulate real-world conditions, as well as evaluate the impact of interventions in-silico, without expensive and impractical modifications and without disrupting the clinical workflow of a healthcare provider. installation

“It’s crazy how valuable MRI machines are 4 million dollars and yet it is very difficult to know how to use them. We started with the goal of cleaning up and organizing operational data from existing silos to make it useful for imaging providers. Beyond unlocking data, the vision of our digital twin and the “what if?” and simulating scenarios in software will fundamentally change the way imaging facilities operate,” he said Benoit ScherrerCEO of Quantivly.

Quantivly began shipping its platform in 2021, focusing first on analyzing MRI operations. The software tracks metrics like protocol length, time between patient exams, procedure repeat rates, and more. It is the only platform in the application of AI for radiology operations, not clinical diagnosis.

It is one of the sites that has worked with Quantivly University of California, San Francisco (UCSF).

“The demand for imaging has grown to unprecedented levels in recent years. More than ever, we need new analytical tools to understand how our practices are performing at scale, and to help manage our resources to meet the needs of our patients. I’m excited to partner with Quantivly to develop digital twins, work to improve the best way to do it,” he said Christopher P. HessMD, PhD, Prof. Alexander Margulis, Chair of the Department of Radiology and Biomedical Imaging at UCSF.

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At RSNA 2022, Quantivly will demonstrate progress in merging and harmonizing new data sources, including support and programming information for CT devices (RIS-HL7), comparing what happened with a scan (from DICOM image and metadata) to what was scheduled. (from HL7). The company plans to continue the expansion of the data sources and then expand to its digital twin vision with a simulation engine in 2023-2024.

Quantivly’s technology will also be the subject of several scientific posters and presentations at RSNA 2022:

  • Data driven optimization and monitoring MR Scheduling
    T5B-QI-8 poster presentation, Learning Center – QI DPS
    12:45 PM to 1:15 PM Central Time, Tuesday, November 29
    This presentation will examine the actual length of MRI exams to identify scheduling inefficiencies and develop a more accurate analysis of the actual length of the exams so that adjustments can be made.

  • Optimization of Abbreviated MRI Scheduling for Hepatocellular Carcinoma Screening
    8:00 a.m. to 9:00 a.m. Central Time, November 30, Wednesday
    Scientific session W1-SSNPM03-1, South Hall Room S402
    What is the optimal length of examination for an abbreviated MRI for hepatocellular carcinoma screening? When determining the exact duration, radiology departments may perform several additional scans per day.

  • A New Era of Quality Improvement: Creating a Digital Twin of the Radiology Department to Drive Operational and Workflow Efficiencies
    12:45 PM to 1:15 PM Central Time, December 1 Thursday
    R5B-QI-2 poster presentation, Learning Center – QI DPS
    The concept of a digital twin for radiology operations will be discussed, specifically as it applies to the length of the scan slot that can be achieved for a typical MRI scan.

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In addition to the scientific presentations at RSNA 2022, Quantivly executives will be available to discuss the technology in booth #2802, Level 3 of McCormick Place, South Hall.

About Quantivly

Quantivly’s mission is to help radiology leaders increase access to population imaging, achieve operational excellence, and deliver on the promise of patient-centered healthcare. Quantivly is an engineering-first software company with a creative team that combines deep domain knowledge with world-class software engineering. Quantivly has an ambitious vision to help radiology leaders apply engineering thinking to radiology operations, shifting from a reactive to predictive approach with data-driven strategies. With Quantivly’s Digital Twin, leaders can observe, measure, simulate and optimize radiology operations in software without the need for expensive, ad-hoc real-world experimentation.

Quantivly is an internationally recognized company, headquartered there Somerville, MassachusettsUSA

Contact information:

[email protected]
https://www.quantivly.com
https://rsna.vporoom.com/Quantivly (Press kit)
240 Elm St Fl2
Somerville, MA 02144
USA

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