Unlock better imaging care for more patients
Agentic orchestration of radiology operations
Agentic orchestration of radiology operations
Trusted by leading institutions
Medical imaging hardware is expensive – up to $4M per MRI scanner. Yet it’s so difficult to know how well an imaging department performs, e.g.:
We call this the Operational Black Hole. And because of it, it is very hard to monitor operations, identify bottlenecks, make data-driven decisions, and evaluate the impact of interventions.
Better workflows lead to increased access to medical imaging for the population, reduced patients’ stay, lowered staff stress as people know what to expect, and allows imaging facilities to capture more profits. For example, one additional MRI patient per day is about +$150k-$300k /MRI scanner /year. But without access to operational data, it is not easy to know where to start.
See how our partners are using Quantivly to fuel the next era of innovation
We built a software platform that extracts, cleans, and harmonizes the information from imaging device data and scheduling data, and builds a unified ontology. It is vendor agnostic, fully queryable, and extendable. You can finally replace gut feeling with data and start understanding
Unlocking data was just the first step. We are now using artificial intelligence (AI) to assimilate it, interpret it, and build predictive models to help you manage your operations. Our simulation engine will allow you to replace costly, disruptive, and often impractical real-world experiments with efficient, risk-free in-silico simulations, empowering you to ask “What if?” and pinpoint the best operational strategies for your environment without disrupting workflows or compromising patient care.
At the heart of this capability is our novel foundational model of operations. Trained at the edge in a self-supervised manner, it extracts a deep understanding of your assets, workflows and imaging protocols. Building on this, we’re introducing AI agents that operate within our digital twin and simulation engine.
These agents continuously learn from simulated scenarios, refining decision-making and optimizing real-world processes. The result is a powerful shift from predictive analytics to autonomous decision-making, driving efficiency, streamlining operations, and enhancing the overall management of radiology services.
We work with leading institutions to transform their radiology operations and achieve operational excellence.
The last few years have seen the demand for imaging grow to unprecedented levels. More than ever, we need new analytical tools to understand how our practice operates at scale, and to help steward our resources to meet the needs of our patients. We’re excited to partner with Quantivly to develop digital twins to optimally refine the way we work“
Christopher P. Hess, MD, PhD
Alexander Margulis Professor, Chair of the Department of Radiology and Biomedical Imaging,
University of California San Francisco
The platform was key in reducing sedation by 20%, having an impact not only on the bottom line but also on the patient experience and health
Rick Robertson, MD
Former Radiologist-in-Chief Boston Children's Hospital
We used to rely on manual data collection, which was time-consuming, often inaccurate, and limited to a small very sample of data on a subset of scanners. It would take a senior technologist several days to obtain equivocally useful data, and that effort was diverted away from patient care. Quantivly has allowed us to collect usage data across our entire fleet and to instantly analyze the data to answer the most pressing questions for our service.
Leo Tsai, MD
Clinical Director of MRI,
Beth Israel Deaconess Medical Center
Being able to construct our own queries and ask our own questions, not just the ones pre-programmed, is very unique compared to other vendors. Along with the ability to parse MRI properly and a (true) vendor-agnostic platform. This opens many new horizons.
Christiane Burton
Medical Physicist,
St Jude Children's Research Hospital
Quantivly has addressed the critical problem of data liquidity for radiology operations to help imaging facilities optimize their most capital-intensive technology asset and human resource investments, in order to maximize their revenues and margins while increasing patient access to imaging services.
Marta-Gaia Zanchi, PhD
Managing Partner,
Nina Capital
Employees are every department’s most valuable resource. Asking them to manually collect data and monitor attempts to improve productivity is both time-wasting and inaccurate. Quantivly both provides instant access to vendor-agnostic metadata as well as the ability to monitor productivity improvements leaving your personnel to focus on patient care.
Jeffrey Mendel, MD
Former Chief of Radiology at St Elizabeth's Medical Center, Senior Health and Policy Advisor, Partners In Health
Leaders can be anywhere in an organization. We built Quantivly for all data-driven leaders that want to understand and transform their radiology operations with data, wherever they are.
01
Use data-driven strategies to plan capital and operational budgets; measure the effectiveness and return on investment of your interventions (e.g. new scanner, new software, increased staff).
02
Compare the quality and efficiency of protocols; monitor the adoption of new protocols; unlock new clinical research by combining clinical and operational data.
03
Get an instant overview of all your protocols and imaging parameters; detect protocol deviations; measure and compare quality, duration, and repeat rate; Slice the data any way you like, by scanner, age, protocol, etc.
04
Access real-time protocol information; measure and compare technologist agility to identify training opportunities; and measure the success of clinical applications training.
05
Data liquidity will fuel the next era of radiology innovation. Curate data for AI; run complex queries to find scans; monitor your research protocols parameters; and unlock new AI research.
