Quantivly’s RSNA23 exhibition highlighted AI-driven software advancements transforming radiology. Amidst economic pressures and increasing procedure volume, AI’s role in image interpretation and patient care stands out. The Chief Product Officer highlighted AI’s potential to improve care but stressed the challenge of managing expanded patient imaging efficiently. Quantivly’s solution, a digital twin and smart recommendation engine, aims to streamline imaging operations. Originating from Boston Children’s Hospital, Quantivly tackles data chaos in radiology, creating a queryable structure for operational data. At RSNA23, the CEO unveiled the Digital Twin of Radiology Operations and the Smart Recommendation Engine, marking a revolutionary leap in radiology management.
Quantivly made a significant impact at RSNA23 by showcasing its cutting-edge artificial intelligence (AI)-powered software, emphasizing the crucial role of technology in transforming radiology operations. The field of radiology faces immense economic challenges, with declining reimbursement rates for scans despite a rise in the volume of procedures due to an aging population. Compounded by staffing shortages for radiologists and technologists, the industry seeks innovative solutions to enhance efficiency and patient care.
AI Advancements at RSNA23: Quantivly’s Breakthrough in Radiology Transformation
At RSNA, the array of technical displays underscored the strides made in AI, particularly in image interpretation, report generation, and expediting imaging processes. Robert MacDougall, Chief Product and Customer Officer at Quantivly highlighted the potential of AI advancements to significantly enhance patient care. However, MacDougall emphasized the looming challenge of efficiently managing the imaging of a larger patient pool, each requiring customized protocols on vital radiology assets like MRI and CT scanners. He proposed Quantivly’s digital twin and intelligent recommendation engine as the solution to this challenge. MacDougall explained that these innovations enable improved imaging care for more patients, benefiting providers by capturing unrealized revenue, granting patients increased access and personalized care, and supporting staff by leveraging AI to reduce burnout.
Quantivly’s genesis stems from recognizing the data overflow within radiology that remains inaccessible due to its disorganized, siloed nature. Arising as a spin-off from Boston Children’s Hospital, Quantivly identified the existence of operational data in HL7 and DICOM formats, yet remained locked due to its chaotic and unstructured state. To address this issue of “data liquidity,” Quantivly developed solutions by extracting image pixel data, metadata, and Radiology Information System (RIS) messages in real time. The company then cleansed, harmonized, and structured this data using its Harmonization Engine, making it fully query-able and establishing a new ontology describing radiology operations.
Building upon its foundation, Quantivly expanded its presence at RSNA 2023, leveraging its proprietary data layer to construct the Digital Twin of Radiology Operations and the Smart Recommendation Engine. CEO Benoit Scherrer articulated their vision of redefining medical imaging management through the creation of a “digital twin” for radiology operations. Scherrer explained that digital twins serve as dynamic, digital replicas of intricate systems (such as hospitals), enabling users to simulate real-world conditions and conduct “what-if” scenarios. This technology underpins Quantivly’s Smart Recommendation Engine, designed to continuously analyze vast amounts of data, providing insights, actionable interventions, and tracking their impact over time. This marks a revolutionary step forward in the management of radiology operations.
Quantivly’s presence at RSNA23 not only showcased their state-of-the-art AI-driven software but also underscored their commitment to revolutionizing radiology operations. Their focus on developing a digital twin and smart recommendation engine signifies a pivotal shift towards efficient, personalized patient care while supporting healthcare providers and staff in navigating the challenges of a rapidly evolving industry.
Quantivly’s RSNA23 showcase signifies a pivotal moment in the evolution of radiology operations. The exhibited AI-driven software promises enhanced patient care amidst economic pressures and mounting procedural demands. The unveiling of a digital twin and smart recommendation engine offers a potential solution to efficiently manage increased patient imaging. Originating from Boston Children’s Hospital, Quantivly addresses data disarray in radiology, shaping a queryable structure for operational data. The CEO’s presentation marks a significant leap forward, propelling radiology management into an era of innovation and efficiency, setting the stage for enhanced patient-centric care in the evolving healthcare landscape.
