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Disrupting the real-time medical imaging market, and accelerating innovation, with cloud Platform as a Service (PaaS)

Objective

Medical imaging science has progressed greatly in recent years with advances in cloud computing power, computer vision, machine learning and augmented reality. There is global political will to improve the efficiency of healthcare delivery through better exploitation of information technology. But there is surprisingly little translation of research output into clinical systems supporting real-time imaging.
Large hardware manufacturers currently dominate the software market for image-guided surgery. Their business model is based on high capital expenditure for installing large equipment that combines hardware and software. But this model means high costs and long lead times for changes, creating high barriers to innovation.
Cydar has identified an opportunity to disrupt this model by decoupling software innovation from the hardware. The concept is a dedicated cloud platform that hosts third-party applications, while handling image anonymisation, information security, governance and data storage. The core, tested technology involves a standard PC and web browser securely streaming the live imaging in the operating room to the cloud platform.
This business model is cloud Platform as a Service (PaaS), hosting applications for enterprises, healthcare organisations and academic institutions. Revenue streams include hosting fees and fees for access to the stored data for secondary use.
Crucially, end-user markets become widely accessible, costs are lowered, lead times slashed and the commercial risks of innovation reduced. The model is readily scalable for the global market. We expect it to accelerate the exploitation of medical digital data for the benefit of citizens, both as patients and as taxpayers.

Field of science

  • /social sciences/economics and business/business and management/commerce
  • /social sciences/economics and business/business and management/business model
  • /natural sciences/computer and information sciences/artificial intelligence/computer vision
  • /natural sciences/computer and information sciences/software
  • /social sciences/economics and business
  • /medical and health sciences/clinical medicine/radiology/medical imaging
  • /natural sciences/computer and information sciences/artificial intelligence/machine learning

Call for proposal

H2020-SMEINST-1-2014
See other projects for this call

Funding Scheme

SME-1 - SME instrument phase 1

Coordinator

CYDAR LIMITED
Address
Bulbeck Mill Mill Lane
CB22 7QY Barrington
United Kingdom
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
EU contribution
€ 50 000