SINAPSE experts from around Scotland have developed ten online modules designed to explain medical imaging. They are freely available and are intended for non-specialists. **Unfortunately these do not currently work in browsers**

Edinburgh Imaging Academy at the University of Edinburgh offers the following online programmes through a virtual learning environment:

Neuroimaging for Research MSc/Dip/Cert

Imaging MSc/Dip/Cert

PET-MR Principles & Applications Cert

Applied Medical Image Analysis Cert

Online Short Courses

ISMRM Workshop on MR Value

ISMRM Workshop on MR Value
When Mar 11, 2019 12:00 AM to
Mar 13, 2019 12:00 AM
Where University of Edinburgh
Contact Name
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This workshop will explore and expand the view of MRI in healthcare to include the aspect of economics, exploring how one can measure the value of imaging, the changing nature of payment mechanisms, and how this influences the incentives around diagnostic imaging, methods to improve the value of MR imaging (including both technical and procedural innovations), and opening up the scope of use for MRI to improve the diagnostic pathway in individual patient management. It will also bring different experts in clinical diagnosis, technical innovation, and administrative and reimbursement mechanisms.

Ultimately, this workshop will increase cohesiveness to the growing awareness and interest in adapting clinical MR use to best serve the patient and the healthcare system in the future. While the intent of the workshop is to be global, some of the focus will be on the European healthcare systems, which are quite diverse and vary from country to country (ranging from free at point-of-access in the UK National Health Service to pay-for-service in private healthcare).

Lastly, the program will include invited presentations, proffered papers, poster presentations, and panel discussions on clinical utility of technical solutions, best chances for meaningful change, and vendor perspectives on what is needed for value.

Upon completion of this activity, participants should be able to:

  • Devise optimal scheduling of MR investigations;
  • Design plans to optimize patient flow;
  • Discuss potential costs savings in delivering MR towards patient care;
  • Develop research trial protocols that use MR as a biomarker; and
  • Generate local quality improvements—e.g., by incorporating machine learning/artificial intelligence tools.
Prospective participants are invited to submit abstracts for oral and poster presentations. The workshop organizers welcome applications for trainee stipends. Priority will be given to applicants who are first authors on abstracts selected for presentation, but this is not a requirement.
  • Submission deadline: 11 January 2019

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