"The 33 cases in this book explore financial management and accounting in a variety of healthcare settings. Providing relevant background details, each case presents a financial management decision or challenge for students to analyze and then recommend an appropriate course of action"--

The essential concepts of both accounting and financial management are covered in this best-selling healthcare finance book. Through clear explanations, numerous examples, and realistic practice problems, it arms future managers with the grounding they need to make financially sound decisions for their healthcare organizations. This thoroughly updated edition provides more emphasis on the unique marketplace for healthcare services and additional examples from nonhospital settings, including medical practices, clinics, home health agencies, nursing homes, and managed care organizations.

"This best-selling textbook covers the essential concepts of accounting and financial management in healthcare"--

"Finally! The book that all health care board members needed but were afraid to ask for! Those dark days of staring at incomprehensible numbers during board meetings, of nervous nodding when their financially-literate brethren make comments or ask questions, of voting on things that they do not understand are gone! This book is long overdue and should be read by every trustee who is not a finance professional." --James E. Orlikoff, president, Orlikoff & Associates, Inc. and executive director, American Governance & Leadership Group Accounting for $1.4 trillion in expenditures (13.7 percent of gross domestic product), health care is one of the nation's largest and fastest growing industries. This concise, expertly written primer on health care organization finance is a nuts and bolts guide to what has become every hospital's most sensitive topic. Health care organization board members must possess basic financial competence to govern effectively. This book will help them acquire, easily and painlessly, the basic financial literacy essential for discharging their roles and fulfilling their fiduciary duties.

Gain practical skills in machine learning for finance, healthcare, and retail. This book uses a hands-on approach by providing case studies from each of these domains: you’ll see examples that demonstrate how to use machine learning as a tool for business enhancement. As a domain expert, you will not only discover how machine learning is used in finance, healthcare, and retail, but also work through practical case studies where machine learning has been implemented. Machine Learning Applications Using Python is divided into three sections, one for each of the domains (healthcare, finance, and retail). Each section starts with an overview of machine learning and key technological advancements in that domain. You’ll then learn more by using case studies on how organizations are changing the game in their chosen markets. This book has practical case studies with Python code and domain-specific innovative ideas for monetizing machine learning. What You Will LearnDiscover applied machine learning processes and principles Implement machine learning in areas of healthcare, finance, and retail Avoid the pitfalls of implementing applied machine learning Build Python machine learning examples in the three subject areas Who This Book Is For Data scientists and machine learning professionals.

Revision of: Fundamentals of healthcare finance / Louis C. Gapenski. c2013. 2nd ed.