How Pain Clinicians Can Successfully Transform Industry episode artwork

EPISODE · Jun 23, 2022 · 18 MIN

How Pain Clinicians Can Successfully Transform Industry

from Pain Matters Podcast Network · host AAPM

Data has long been used to predict whether certain patients will respond well to treatment. The next step in the evolution of using algorithm-centered tools to chart the course for pain medicine is the personalized care made possible through precision medicine technology. In this episode of the Pain Matters Podcast, host Shravani Durbhakula, M.D., M.P.H., M.B.A., chats with Christina Le-Short, MD, MBA, senior director of clinical development and strategy at Scipher Medicine, a precision immunology company. They discuss the current state of healthcare and explore the prospect of AI-powered solutions as well as other innovative technologies. How are these new tools–and their ability to visualize outcomes that physicians alone cannot–shaping the future of pain care? How can a clinician contribute to industry? Tune in to discover:How clinical experience helps inform research and data analysis in roles outside of patient care–regardless of the level or amount of time the clinician has practicedThe process for innovation, from thinking outside the box from the outset to daring to approach status-quo solutions from a different angleTips for the professional journey of a clinician who wishes to contribute to industryHow to network, gain knowledge from peers, and understand the markets for medicine through the pursuit of an MBA

Data has long been used to predict whether certain patients will respond well to treatment. The next step in the evolution of using algorithm-centered tools to chart the course for pain medicine is the personalized care made possible through precision medicine technology. In this episode of the Pain Matters Podcast, host Shravani Durbhakula, M.D., M.P.H., M.B.A., chats with Christina Le-Short, MD, MBA, senior director of clinical development and strategy at Scipher Medicine, a precision...

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This episode is 18 minutes long.

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This episode was published on June 23, 2022.

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Data has long been used to predict whether certain patients will respond well to treatment. The next step in the evolution of using algorithm-centered tools to chart the course for pain medicine is the personalized care made possible through...

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