SIIMcast

SIIMcast

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SIIMcast episodes

  • 14 - SIIM Ambassador Program with RAD-AID

    In this episode, Jason talks about the SIIM ambassador program run in partnership with RAD-AID (@RADAIDIntl) with guests Dale Gerus, Starla Longfellow (@starlaklongfell), and David Marichal (@radiologygeek). Dale is the Operation Director for RAD-AID informatics and Starla and David are former ambassadors talking about their experiences.

     

    34 min
  • 13 - Interview with Murray A. Reicher, MD, FACR

    Arjun, Jason, and Prasanth sit down with Murray A. Reicher, MD, FACR (@murrayreicher) - doctor, inventor and serial healthcare entrepreneur. A radiologist and early adopter of MR imaging, Murray helped usher in the age of digital radiology as a co-Founder of DR systems. In the time since, he has helped start multiple companies in the digital health and imaging space, including most recently Health Companion and Health Beacons.

     

    46 min
  • 12 - Interview with Jim Whitfill

    In this short bonus episode, the team sits down with Dr. Jim Whitfill (@jwhitfill), who is taking the helm at SIIM as the new Chair. We talk about his path to the chairmanship and what he sees on the horizon for SIIM. We also introduce our new co-host, Jason Nagels (@jaynagels).

    16 min
  • 11 - Chat with e-Patient Dave deBronkart

    As an author and a Ted Talk Speaker, e-Patient Dave deBronkart is an advocate for patient experience, satisfaction, engagement, and safety. In May 2018, Mr. deBronkart was the keynote speaker at the SIIM 2018 Annual Meeting's opening general session. The day before this keynote speech, Dr. Paul Nagy, SIIM Chair, sat down with e-Patient Dave to discuss participatory medicine and how empowered and engaged e-patients are sharing information with their clinicians.

    "...being an e-patient - empowered, engaged, equipped, enabled." - e-Patient Dave deBronkart

    35 min
  • 9 - Chat with Andrew Rosenkrantz

    In this episode we sit down with Dr. Andrew Rosenkrantz (@arosenkrantzmd) of NYU Radiology to discuss his department's efforts to facilitate communication between radiologists and referring physicians through PACS-enabled tools. The following articles are discussed:

    • www.jacr.org/article/S1546-1440…6)30005-9/abstract
    • www.jacr.org/article/S1546-1440…7)30869-4/abstract.

    Thanks also to William Moore, MD, also of NYU Radiology, for his participation in the recording.

    23 min
  • 8 - Interview with Gorkem Sevinc

    In this episode we sit down with Gorkem Sevinc (t: @Gorkem_Sevinc), former managing director at Johns Hopkins Medicine Technology Innovation Center and now co-founder and CTO of Emocha Mobile Health, a company leveraging video directly-observed-therapy to improve patient adherence. Recent Fast Company award winner at https://www.fastcompany.com/most-innovative-companies/2018/sectors/health.

    35 min
  • 7 - Don Dennison and Christopher Roth

    Arjun and Prasanth sit down with Donald K. Dennison, FSIIM (Twitter: @DonKDennison) and Christopher J. Roth, MD, CIIP (@ChrisRothMD) to talk about imaging IT considerations including workflows, vendor selection, and enterprise imaging.

     

    52 min
  • 6 - RSNA Bone Age Challenge With Safwan Halabi

    In this episode, Arjun sits down with Dr. Safwan Halabi, pediatric radiologist and Director of Radiology Informatics at Stanford. They discuss the origins of the 2017 RSNA Bone Age Challenge, its design and reception, future directions, and artificial intelligence in imaging.

     

    19 min
  • 5 - JDI Journal Club 2017Q3

    In this episode, Arjun and Prasanth are joined by Dr. Ram Chadalavada, interventionalist and informaticist at the University of Cincinnati Medical Center, as they discuss interesting articles from the June, August, and October 2017 Journal of Digital Imaging issues. Articles discussed:

    • Clinical Applications of a CT Window Blending Algorithm: RADIO
    • 3D Printing Prototypes for Healthcare Professionals: Creating a Reciprocating Syringe
    • Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions
    • Fully Automated Deep Learning System for Bone Age Assessment
    • A.I. VERSUS M.D. What happens when diagnosis is automated?

     

    26 min

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