Search results for ""Author John Halamka""

Health care as it stands today needs to be re-imagined. Redefining the Boundaries of Medicine by Paul Cerrato and Dr. John Halamka challenges the profession to renegotiate its priorities and address the fact that it’s become timid and reluctant to explore new care delivery models. The guiding premise of this book is that rethinking and reimagining the way medicine is practiced in the 21st century will improve health outcomes, and that technology is central to this transformation. Dr. Halamka is the President and Paul Cerrato is the Senior Research Analyst and Communications Specialist for Mayo Clinic Platform, which is harnessing novel technologies to change how care is provided. This cutting-edge work, along with their combined 80 years of experience in healthcare, afford Dr. Halamka and Mr. Cerrato authoritative voices in technology and health care. This book shows how one-size-fits-all health care is slowly giving way to a more precise, personalized approach that takes into account each person’s unique environmental and genetic risk factors. It discusses the use of several emerging technological tools that give each patient a unique “topographical map” to navigate their journey. Artificial intelligence in health care must be accurate, equitable and ethical; providers need to embrace a better way to predict diseases, identify effective treatments and rethink much of the conventional wisdom that has been handed down over the decades. Redefining the Boundaries of Medicine provides the guide to doing just that.

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This book takes an in-depth look at the emerging technologies that are transforming the way clinicians manage patients, while at the same time emphasizing that the best practitioners use both artificial and human intelligence to make decisions. AI and machine learning are explored at length, with plain clinical English explanations of convolutional neural networks, back propagation, and digital image analysis. Real-world examples of how these tools are being employed are also discussed, including their value in diagnosing diabetic retinopathy, melanoma, breast cancer, cancer metastasis, and colorectal cancer, as well as in managing severe sepsis.With all the enthusiasm about AI and machine learning, it was also necessary to outline some of criticisms, obstacles, and limitations of these new tools. Among the criticisms discussed: the relative lack of hard scientific evidence supporting some of the latest algorithms and the so-called black box problem. A chapter on data analytics takes a deep dive into new ways to conduct subgroup analysis and how it’s forcing healthcare executives to rethink the way they apply the results of large clinical trials to everyday medical practice. This re-evaluation is slowly affecting the way diabetes, heart disease, hypertension, and cancer are treated. The research discussed also suggests that data analytics will impact emergency medicine, medication management, and healthcare costs. An examination of the diagnostic reasoning process itself looks at how diagnostic errors are measured, what technological and cognitive errors are to blame, and what solutions are most likely to improve the process. It explores Type 1 and Type 2 reasoning methods; cognitive mistakes like availability bias, affective bias, and anchoring; and potential solutions such as the Human Diagnosis Project. Finally, the book explores the role of systems biology and precision medicine in clinical decision support and provides several case studies of how next generation AI is transforming patient care.

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