Transforming Healthcare Analytics. Michael N. Lewis

Transforming Healthcare Analytics - Michael N. Lewis


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everyone enough who tirelessly spent long nights reviewing and providing input, chapter by chapter, especially Lauree Shepard, Tho Nguyen, and Michael Bromley. Trying to bring to life real-world learnings, following my logic, opinions, and trying to understand how you put an analytics strategy into words can be maddening, but you did it with kindness, compassion, and thoughtfulness. I owe you gratitude beyond expression for your tremendous dedication to making sure the message is easily consumable and usable to the readers.

       – Michael N. Lewis

      First, I would like to recognize my co-author, Michael N. Lewis, for his passion and patience writing this book with me. Mike brings the deep knowledge and insightful experience to make this book relatable. Second, I would like to recognize you, the reader of this book. Thank you for your interest to learn and be the agent of change in the healthcare industry. I am contributing the book proceeds to worthy charities that focus on technology and science to improve the world, from fighting hunger to advocating education to innovating social change.

      There are many people who deserve heartfelt credit for assisting me in writing this book. This book would have not happened without the ultimate support and guidance from my esteemed colleagues and devoted customers. A sincere appreciation to my colleagues who encouraged me to share my personal experience and helped me to stay focused on what's relevant.

      I owe a huge amount of gratitude to the people who reviewed and provided input word by word, chapter by chapter, specifically Lauree Shepard, Clark Bradley, Paul Segal, and Michael Lewis. Reading pages of healthcare jargon, trying to follow my thoughts, and translating my words in draft form can be an overwhelming challenge but you did it with swiftness and smiles. Thank you for the fantastic input that helped me to fine-tune the content for the readers.

       – Tho H. Nguyen

      The views expressed in this book are those of the individual authors representing their own personal views and not necessarily the position of either of their employers.

       by James Taylor 1

      I have been working with advanced analytics for nearly 20 years. The market has matured dramatically to the point where analytics, machine learning, and AI are now common topics of conversation in every industry. Once, analytic models were handcrafted for a few high-value scenarios. Now, companies are automating the creation of advanced analytics and using them to solve a wide range of problems. The time to develop and deploy advanced analytics has gone from months to seconds, even as the amount of data being analyzed has exploded. Every industry is focused on being more data-driven and healthcare is no exception.

      Tho and I met many years ago through our work as faculty members of the International Institute for Analytics. We have a shared interest in the technologies and approaches of analytics and in how organizations can truly take advantage of their data.

      Healthcare is an industry that impacts everyone throughout their life. New drugs, new treatments, and new understanding drives continual and rapid innovation. Yet even as healthcare technology and treatments get more effective, populations in many countries are struggling with older populations and an epidemic of obesity. Drug resistance is an increasing problem and costs continue to rise. The healthcare industry needs to find ways to use data to tackle these and many other challenges.

      Over the years I have worked with hundreds of organizations that are using analytics to improve their decision-making. Like Tho and Mike, I have come to see that people and process are as essential as technology – perhaps even more so. Building cross-functional teams, engaging a broad set of skills, and having a process that focuses on decision-making are all necessary if analytic technology is to be applied effectively.

      Take one healthcare provider I was working with recently. A technical team had developed some potentially useful analytic models. But working alone they could get no traction. We engaged clinical and operations staff in a discussion of the current decision-making. We applied design thinking and decision modeling to see how that decision might be improved with the analytic. With this shared understanding the technical team could see what a minimum viable product would require and could execute a series of Agile sprints to deliver it. People, process, and (analytic) technology.

      With this book, Tho and Mike hope to show healthcare professionals how to transform their industry with data and analytics. Right from the start, they emphasize the importance of people, process, and technology – not just the coolest, newest technology. Real-world stories of healthcare problems addressed by insight-driven decisions show healthcare professionals what's possible and what technology exists. The stories help bring to life how analytics might create a more effective future state in healthcare.

      If you are a healthcare professional concerned about applying data and analytics to improve your organization, this book will give you valuable insights. The advice and framework will help you organize, recruit, train, and develop the data analytics capability you need.

      Healthcare needs to become more data-driven, more analytic. This book will show you how.

      1 1 James is CEO and Principal


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