Big Data (BD) and Interactive Virtual Reality (IVR) are increasingly garnering the interest from multiple disciplines and commitment from leading experts in these communities. Our speaker, Dr. Ron Schilling, a true luminary, will focus on the synergy between BD and VR, and the resulting potential for significant gains in Patient Outcomes (PO), an important dynamic for medical imaging.
It’s quite clear that IBM’s BD efforts with Watson are coming to fruition , and it’s worth noting that Virginia Rometty, CEO, IBM, characterizes Watson as a Cognitive based system that applies machine learning techniques to BD. Cognition is indeed a critical element in that it impacts Knowledge, which is dependent on both Cognition and Intuition. Knowledge, in turn, represents a fundamental factor in driving PO. In addition, the other critical element in the Knowledge equation, Intuition, has been shown to be driven by IVR . Hence, the power of the BD/IVR intersection.
Consider IVR as the ability to view an object in open 3D space and directly interact with the object (e.g. removing a tumor electronically). Radiologists note that IVR provides a tool with which to communicate more effectively with surgeons. Surgeons note that IVR allows them to finally achieve Surgical Visualization, the ability to view anatomy in a manner that corresponds to their 3D world view – n. b. they never open up patients and see 2D views.
Essentially, IVR represents a new paradigm, or “language,” with which different specialists discover an enhanced ability for communicating more effectively with each other.
Why might 2017 be the key year to realize the potential of the BD/IVR Intersection? Based on several years of clinical trials, significant improvement in the core areas of PO, Clinical Efficacy (CE) and Workflow (WF), have been demonstrated in a number of applications, due to IVR driven increases in Knowledge.
We might think of IVR as focused on “doing the right things” and BD as focused on “doing things right.” A case in point would be a Protocol for optimizing both CE & WF for Virtual Colonoscopy. Based on the intuitive properties of IVR, a concept of dividing the colon into linear segments emerged, with each segment separately analyzed for polyps . This breakthrough led to significant gains in both CE & WF.
BD has already been effectively applied to Virtual Colonoscopy . BD could also be applied to the analysis of all users of the above protocol to establish best practices from data representing all user motions (head, interaction tool, etc.). In this manner, BD is a key to “doing things right. ”
Therefore, the intersection of BD and IVR provides a significant opportunity for achieving improvements in PO. We could think of this activity as Knowledge Modeling. Today, leading organizations in healthcare are establishing Knowledge Modeling as the core of effective data management. What could be better than to apply these principles to increasing PO?
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About the Speaker:
Dr. Ron Schilling, Executive Chairman, EchoPixel, is amidst the opportunity of his lifetime – that is, to bring a truly disruptive technology to the medical imaging marketplace. Providing a solution to the cognitive strain that has been plaguing radiologists is what EchoPixel is all about. Using a combination of stereo (depth perception) and virtual holography (look around and direct interaction) provides physicians with increased intuition, enabling them to significantly increase knowledge. He has had the honor of working with outstanding luminary sites (UCSF, Stanford, Cleveland Clinic, and others). Ron has 35 years of operating and general management experience in the medical device and technology industries, at Toshiba, Diasonics and General Electric. He was a director at Stentor at 2007 when it was sold to Philips. He also teaches business strategy at Stanford and serves on several corporate boards in the medical field. Dr. Schilling earned his B.SC. EE from City College of New York, his M.Sc. from Princeton University, and a Ph.D. from the from the Polytechnic Institute of New York University.
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