SIIMcast

SIIMcast

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SIIMcast episodes

  • 42 - New JDI Editor-in-Chief with David Avrin and Paul Nagy

    Recorded at the 2020 SIIM Leadership Retreat in Park City, Utah, Drs. Paul Nagy and David Avrin sit down to talk about the latter's new role as Editor-In-Chief of the Journal of Digital Imaging. Dr. Nagy led the search committee; the two discuss how the journal has changed over the years and where Dr. Avrin would like to see it go.

    27 min
  • 41 - Cybersecurity

    In this episode, the Alok and Arjun are joined by Dr. Howard Chen and Brett Strassner as they discuss security and privacy concerns in the radiology department and beyond. Referenced items:

    US Dept. of Health and Human Services Breach Portal: https://ocrportal.hhs.gov/ocr/breach/breach_report.jsf

    XKCD comic (Password Strength): https://xkcd.com/936/

    Lastpass: https://www.lastpass.com/

    45 min
  • 40 - Providing Patients Access to their Health Records

    In this episode, Arjun, Prasanth, and Jason chat with two guests around the topic of providing patients access to their own health records.

    In recent years, it's become increasingly common for patients to access their health records and today our guests Dr. Teresa Martin-Carreras and Rishi Nayyar share their thoughts on this topic.

    We'll look at an example of a cloud-based technology that has been implemented to help patients and healthcare enterprises ditch the disc and cut down on the reliance of CDs. We also take a look at a project at Penn Medicine that allows patients to view an interpretation of the report in language this can be understood by patients with a non-clinical background.

    46 min
  • 38 - Eye Tracking and Ergonomics

    Drs. Elizabeth Krupinski and Rebecca Seidel from Emory University join the team to talk about the latest in eye-tracking research as it pertains to radiology search patterns. We also talk about ergonomics, vis a vis the physical workstation and strategies for dealing with repetitive stress injuries and burnout.

    42 min
  • 37 - Standards: DICOMWeb

    Continuing our series on standards, guests Chris Hafey (@chafey), Jim Philbin and Elliot Silver (@elliot_silver https://www.argentixinfo.com) cover the topic of DICOMWeb.

    In this episode, we look at how does DICOMWeb differs from traditional DICOM, we examine the differences between WADO-URI, WADO-WS, and WADO-RS, among many other areas discussed.

    You can find our podcast on Apple Podcast, Google Podcasts, Stitcher, or anywhere else you subscribe to podcasts. Please help us out by leaving a review on Apple Podcasts. You can find us on Twitter: @SIIM_Tweets, and individually at @arjunsharmarad, @jaynagels, @AAnandMD

    Visit us at https://siim.org/page/siimcast

    JDI Article referenced in the discussion: https://link.springer.com/article/10.1007/s10278-018-0073-z

    49 min
  • 36 - Reflection on the Imaging Informatics Field

    Continuing our "Legends of SIIM" series, in this episode Paul G. Nagy, PhD, CIIP, FSIIM and David E. Avrin, MD, PhD, FSIIM sit down at SIIM 2019 and reflect on the expected and unexpected ways the imaging informatics field has developed over the past decades. Thanks to Dr. Nagy for acting again as guest host.

    50 min
  • 35 - Clinical Decision Support

    This was a special episode recorded live at SIIM 2019 by guest host Bob Coleman and his guests Dr. Richard Bruce and Dr. Rishi Maheshwary. Bob is the Senior Director of Imaging Informatics at MaineHealth, while Dr. Bruce is an Assistant Professor of Neuroradiology at the University of Wisconsin and Dr. Maheshwary works for the Allegheny Health Network.

    The three discussed Clinical Decision Support and reviewed the experiences their respective institutions had with their implementations.

    44 min
  • 34 - Bonus Episode - Terminology Management with a Machine Learning Model

    In this episode, hosts Arjun and Jason chat with University of Toronto Computer Science students Salaar Liaqat and Joanna Pineda, and Drs. Ben Fine and Josh Reicher to discuss how their team developed a machine learning model to automatically associate local procedure codes to SNOMEDCT.

    This project was a collaborative student research project with Dr. Marzyeh Ghassemi's Machine Learning for Health graduate course at the Vector Institute and the University of Toronto.

    28 min
  • 33 - Ethics of AI in Radiology

    The team is joined by Drs. Raymond Geis and Marc Kohli to talk about the Ethics of AI in Radiology and the intersociety joint statement released October 1, 2019.

    • Joint paper
    • JACR paper
    • Paula Boddington paper

    40 min

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