Population Health Analytics

"Binding: PB"--

“This is an outstanding book and I would highly recommend it for any professional or faculty in a current public health role, and absolutely for a student in the fields of public health, nursing, health administration, health education, medicine, and information technology (artificial intelligence)... This book provides the resources for professionals to learn and apply theory, analytics, quality, and services to understand populations with the ultimate goal of transforming U.S. health care." ---Doody's Review Service, 5 stars Population Health Management: Strategies, Tools, Applications, and Outcomes uniquely combines perspectives and concepts from community, public, and global health and aligns them with the essentials of health management. Written by leading experts in academia and industry, this text emphasizes the integration of management skills necessary to deliver quality care while producing successful outcomes sensitive to the needs of diverse populations. Designed to be both student-friendly and comprehensive, this text utilizes various models, frameworks, case examples, chapter podcasts, and more to illustrate foundational knowledge and impart the skills necessary for health care managers to succeed throughout the health care sector. The book spans core topics such as community needs assessments, social determinants of health, the role of data analytics, managerial epidemiology, value-based care payment models, and new population health delivery models. COVID-19 examples throughout chapters illustrate population health management strategies solving real-world challenges. Practical and outcomes-driven, Population Health Management prepares students in health administration and management, public health, social work, allied health, and other health professions for the challenges of an evolving health care ecosystem and the changing roles in the health management workforce. Key Features: Highlights up-to-date topics focusing on social marketing, design thinking for innovation, adopting virtual care and telehealth strategies, and social marketing ideas Introduces new population health management skills and tools such as the Social Vulnerability Index, Policy Map, PRAPARE, the PHM Framework, Design Thinking and Digital Messaging Incorporates "Did You Know?" callouts, chapter-based podcasts, and discussion questions to help explain real-world situations and examples that students and health professionals may encounter as administrators and managers Includes four full-length case studies focusing on the co-production of health, implementing a population health data analytics platform, health equity, and collaborative leadership Connects chapter objectives with the National Center for Healthcare Leadership (NCHL) and the Public Health Foundation (PHF) competencies Purchase includes digital access for use on most mobile devices or computers, as well as full suite of instructor resources with Instructor's Manual, PowerPoint slides, test bank, and sample syllabus

Make healthcare analytics work: leverage its powerful opportunities for improving outcomes, cost, and efficiency.This book gives you thepractical frameworks, strategies, tactics, and case studies you need to go beyond talk to action. The contributing healthcare analytics innovators survey the field’s current state, present start-to-finish guidance for planning and implementation, and help decision-makers prepare for tomorrow’s advances. They present in-depth case studies revealing how leading organizations have organized and executed analytic strategies that work, and fully cover the primary applications of analytics in all three sectors of the healthcare ecosystem: Provider, Payer, and Life Sciences. Co-published with the International Institute for Analytics (IIA), this book features the combined expertise of IIA’s team of leading health analytics practitioners and researchers. Each chapter is written by a member of the IIA faculty, and bridges the latest research findings with proven best practices. This book will be valuable to professionals and decision-makers throughout the healthcare ecosystem, including provider organization clinicians and managers; life sciences researchers and practitioners; and informaticists, actuaries, and managers at payer organizations. It will also be valuable in diverse analytics, operations, and IT courses in business, engineering, and healthcare certificate programs.

This book provides frameworks, use cases, and examples that illustrate the role of big data and analytics in modern health care, including how public health information can inform health delivery. Written for health care professionals and executives, this book presents the current thinking of academic and industry researchers and leaders from around the world. Using non-technical language, it includes case studies that illustrate the business processes that underlie the use of big data and health analytics to improve health care delivery.

This is a comprehensive, practical guide which looks at the advantages and limitations of new data analysis techniques being introduced across public health and administration services. The Affordable Care Act (ACT) and free market reforms in healthcare are generating a rapid change of pace. The "electronification" of medical records from paper to digital, which is required to meet the meaningful use standards set forth by the Act, is advancing what and how information can be analyzed. Coupled with the advent of more computing power and big data analytics and techniques, practitioners now more than ever need to stay on top of these trends. This book presents a comprehensive look at healthcare analytics from population data to geospatial analysis using current case studies and data analysis examples in health. This resource will appeal to undergraduate and graduate students in health administration and public health. It will benefit healthcare professionals and administrators in nursing and public health, as well as medical students who are interested in the future of data within healthcare.

The rate of change in the healthcare industry has been staggering. From Electronic Health Records to ICD-10 to Population Health, few industries have undergone such change in such a short amount of time. The silver lining is the treasure trove of digital data, which will enable providers to analyze and compare information across thousands of patients instead of relying on the anecdotal evidence they previously used. To access this knowledge, organizations are turning to analytics. Unfortunately, many organizations are rushing to implement any type of healthcare analytics program without consideration of the steps that must take place to build an effective, long-term analytics solution. Competing on Healthcare Analytics is a practical guide to implementing population health analytics. The book makes a clear argument for how an analytics initiative should be implemented using Mr. Bennett's foundational approach and identifies the most critical success factors. Healthcare organizations should re-access their approach to implementing population health analytics after reading this book. This book includes: - A detailed healthcare transformation model which tracks the progression of analytics to become an "Analytics Focused" healthcare organization;- A discussion of the value of using the foundational approach;- Research studies performed with healthcare organization participants supporting the approach;- A healthcare organization readiness assessment;- An implementation roadmap with critical success factors;- A discussion on what it takes to be a healthcare analytics competitor.Professor Bennett has been presenting his approach to implementing population health analytics to audiences across the country to rave reviews since the summer of 2014. Now it is your turn to access this knowledge that has been honed through his work in healthcare as well as in other industries with clients such as Microsoft, BellSouth, Chase and many others.

Orchestrating Value: Population Health in the Digital Age focuses on the leadership thinking and mindset changes needed to transition from brick and mortar healthcare to digital health and connected care. The fourth industrial revolution, with convergent disruptions in biology, business models, computer science, and culture, has the potential to transform the healthcare system like never before. Digital health startups, Big Tech and progressive health systems will change the way health and healthcare are delivered to increasingly digitally savvy consumers. This book challenges readers to rethink the role of data and technology in creating and designing the future. Rather than hooking value-based care and population health management onto traditional healthcare business models, it focuses on the emergence of digital ecosystems. Using the analogy of an orchestra, the book introduces the importance of platforms in the formation of communities and markets with network effects to allow participants to collaborate, create, and innovate. With quotes from healthcare industry leaders and change agents, it helps the strategist understand the three stages of the transition from volume to value. As conductor of the orchestra, the CEO must navigate important leadership pivots to move beyond silo-based thinking. Finally, the Care Management Platform is described as a new operating model for population health in the digital age. As the next generation beyond foundational EHRs, capabilities such as interoperability, analytics, care management and patient/consumer engagement will fundamentally change the way healthcare enterprises operate and deliver value to customers.

Electronic health records (EHRs) have become commonplace in the medical profession. Health data are readily captured and permanently stored in a digital fashion, and consequently, are increasingly being utilized in health research. The quality of this research depends upon the investigator’s ability to obtain the correct data to answer the correct question. It is easy to churn out poor quality research from the EHR; it is much harder to produce meaningful results that influence the population’s health. Improving Population Health Using Electronic Health Records takes the reader through the process of conducting meaningful research from data in the EHR. It de-mystifies the entire research process, from how to ask the right kind of research questions, to obtaining data with particular emphasis on data management and manipulation, to performing a valid statistical analyses, and interpreting and presenting the results in a clear, concise fashion that has the potential to improve population health. This book can be used as a hands-on how-to guide of performing research from EHR data in either a piece-meal fashion, selecting only the topics of greatest interest, or a complete guide to the entire research process. Readers will benefit from the intuitive presentation of complex methods with a multitude of examples. It is invaluable reading for researchers and clinicians who are not otherwise familiar with the complexities of working with large data sets.