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Curable, how an unlikely group of radical innovators is trying to transform our healthcare system, Travis Christofferson, MS

Label
Curable, how an unlikely group of radical innovators is trying to transform our healthcare system, Travis Christofferson, MS
Language
eng
Bibliography note
Includes bibliographical references (pages 187-198) and index
Index
index present
Literary Form
non fiction
Main title
Curable
Nature of contents
bibliography
Responsibility statement
Travis Christofferson, MS
Sub title
how an unlikely group of radical innovators is trying to transform our healthcare system
Summary
"The United States is fast becoming the sickest nation in the Western world. Cancer rates continue to rise. There is an epidemic of chronic disease in children. Even with all the money and modern innovations in science, the country's healthcare system is beyond broken. Clearly there is a glitch in the system. In Curable journalist and healthcare advocate Travis Christofferson looks at medicine through a magnifying glass and asks an important question: What if the roots of the current US healthcare crisis are psychological and systemic, perpetuated not just by corporate influence and the powers that be, but by you and me? It is now known that human perception is based on deeply entrenched patterns of irrational thought, which we attach ourselves to religiously. So how does this implicate the very scientific research and data that doctors rely on to successfully treat their patients? A page-turning inquiry into a "moneyball approach to medicine," Curable explores the links between revolutionary baseball analytics; Nobel Prize-winning psychological research on confirmation bias; wildly successful maverick economic philosophy; the history of the radical mastectomy and the rise of the clinical trial; cutting edge treatments routinely overlooked by regulatory bodies; and outdated medical models that prioritize profit over prevention. How do we fix it? First we must reframe the conflict between doctors' intuition and statistical data. Then we must design better systems that can support doctors who are increasingly overwhelmed with the complexity of modern medicine"--, Provided by publisher
Classification
Content

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