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A physician’s fight against insurance denials [PODCAST]

The Podcast by KevinMD
Podcast
June 17, 2023
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Join us in this compelling podcast episode as we dive into the world of insurance denials and the challenges faced by physicians and patients. Our guest, Jennifer Lycette, is not only a rural hematology-oncology physician but also a novelist and award-winning essayist. With her firsthand experience, she shares stories from the frontlines and sheds light on the impact of insurance denials on patient care. From the time constraints of appeal calls to the lack of understanding of individualized treatments, we explore the frustrations and consequences faced by both physicians and patients. Jennifer emphasizes the need for change, discussing the toll on physician burnout and the emotional and financial burdens on patients. We also delve into the importance of increased awareness, advocacy, and collaborative efforts to challenge insurance practices. Join us for an eye-opening conversation that delves into the human side of health care and the urgent need for reform.

Jennifer Lycette is a novelist, award-winning essayist, rural hematology-oncology physician, wife, and mom (to three humans and two of the canine persuasion). She can be reached on Twitter @JL_Lycette, Mastodon @[email protected], and LinkedIn. Her first novel, The Algorithm Will See You Now (Black Rose Writing Press), a near-future medical thriller, is out in paperback and ebook.

She shares her story and discusses her KevinMD article, “The insurance denial process: one oncologist’s fight against a broken system.”

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The Nuance Dragon Ambient eXperience, or DAX for short, utilizes artificial intelligence and natural language processing to automatically document care. It securely listens to and captures the natural, clinician-patient encounter conversation unobtrusively, and turns that conversation into a clinical note for the clinician’s review and signature directly in the electronic health record. You just talk naturally, and DAX does the rest. 

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  • Most Popular

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