Presented quantitatively at RSNA 2022 with an AI-driven program 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” of radiology facilities to allow monitoring, simulation and process optimization using software prior to implementation in the real world.

Somerville, Requiem.And the November 21, 2022 /CNW/ – highlights new developments in its software powered by artificial intelligence (AI) to improve efficiency in medical imaging at the Radiological Society of North Amarica (RSNA) Meeting at Chicago From November 27 to December 1. The company’s technology will also be the subject of several scientific papers on improving MRI efficiency.

Despite its important role in diagnosing disease and guiding treatment, radiology is under severe economic pressure as reimbursement rates for many common scans are falling. At the same time, the volume of procedures is increasing as the population ages, and the specialty is experiencing recruitment difficulties for both radiologists and radiology technologists – increasing the need to work more efficiently.

A spin-off from Boston Children’s Hospital, Quantivly started out with the realization that a lot of operational data already exists to improve radiology operations, but it’s disorganized and resides in various silos across the hospital. It quantitatively solves the problem of “data fluidity” by extracting image metadata and Radiology Information System (RIS) messages on the go, cleaning it and orchestrating it with the company’s harmony engine to make the data fully queryable, and building a new ontology that describes radiology processes.

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

Quantivly has an ambitious vision of building a “digital twin” for ray operations, providing leaders with 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 assess the impact of interventions in silicon, without the need for expensive and impractical changes, and without disrupting the clinical workflow of a healthcare facility.

“It’s crazy how expensive MRI machines are $4 million However, it is difficult to know how to use it. We started with the goal of cleaning and organizing operational data from existing silos, and making it useful for imaging service providers. In addition to simply opening up data, we believe our digital double vision and ability to ask “what if?” Simulating scenarios in software will radically reshape the way imaging facilities operate.” Benoit SchererCEO of Quantivly.

Quantivly began shipping its platform in 2021, focusing first on analyzing MRI scans. The software tracks metrics such as protocol duration, amount of time between patient scans, procedure frequency rates, and more. The platform is unique in its application of AI to radiology processes, not clinical diagnoses.

One of the sites that work with Quantivly is University of California, San Francisco (UCSF).

“The past few years have seen the demand for imaging grow to unprecedented levels. More than ever, we need new analytics tools to understand how our practice operates at scale, and to help oversee our resources to meet the needs of our patients. We are excited to partner with Quantivly to develop Digital Twins to improve the way with which we work optimally.” Christopher BMD, PhD, Professor Alexander Margolis, chair of the Department of Radiology and Biomedical Imaging at UCSF.

At RSNA 2022, Quantivly will show its progress in compiling and aligning new data sources including support for CT Scanners and Information Tabulation (RIS-HL7), allowing comparison of what happened with a scan (from the DICOM image and metadata) to what was scheduled. (from HL7). The company plans to continue expanding into data sources and then expand towards its dual digital 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 MR scheduling monitoring
    Poster presentation T5B-QI-8, Learning Center – QI DPS
    12:45 p.m. to 1:15 p.m. Central TimeAnd the Tuesday 29 November
    This presentation will analyze the true duration of MRI exams to identify deficiencies in scheduling and develop a more accurate analysis of the true duration of the tests so that adjustments can be made.

  • Optimizing scheduling of abbreviated magnetic resonance imaging for hepatocellular carcinoma screening
    8 a.m. to 9 a.m. Central timeAnd the Wednesday 30 November
    Scientific Session W1-SSNPM03-1, South Hall Room S402
    What is the optimal testing duration for a brief MRI scan for hepatocellular carcinoma? To determine the exact duration, radiology departments can perform several additional examinations per day.

  • A new era of quality improvement: creating a digital twin of the radiology department to increase efficiencies in processes and workflows
    12:45 p.m. to 1:15 p.m. Central TimeAnd the Thursday, December 1
    Poster presentation R5B-QI-2, Learning Center – QI DPS
    The concept of a digital twin for radiology operations will be discussed, specifically as it applies to the achievable exam length of the commonly performed MRI scan.

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

about quantitatively

Quantivly’s mission is to help radiology leaders increase access to imaging for the population, achieve operational excellence, and deliver the promise of patient-centered healthcare. Quantivly is a premier engineering software company with a founding team that combines deep domain knowledge with world-class software engineering. Quantitative has an ambitious vision to help radiology leaders apply an engineering mindset to radiology operations by shifting from a reactive to a predictive approach using data-driven strategies. With Quantivly’s digital twin, leaders can monitor, measure, simulate, and optimize radiology processes in software, without the need for costly, customized real-world experiments.

Quantivly is an internationally recognized, enterprise-backed and headquartered company Somerville, MassachusettsUnited States of America.

contact information:

info@quantivly.com
https://www.quantivly.com
https://rsna.vporoom.com/Quantivly (press kit)
240 Elm St Fl2
Somerville, Massachusetts 02144
United States of America

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