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This report is the twelfth assessment of the National Institutes of Health National Research Service Awards program. The research training needs of the country in basic biomedical, clinical, and behavioral and social sciences are considered. Also included are the training needs of oral health, nursing, and health services research. The report has been broadly constructed to take into account the rapidly evolving national and international health care needs. The past and present are analyzed, and predictions with regard to future needs are presented.
Healthcare service systems are of profound importance in promoting the public health and wellness of people. This book introduces a data-driven complex systems modeling approach (D2CSM) to systematically understand and improve the essence of healthcare service systems. In particular, this data-driven approach provides new perspectives on health service performance by unveiling the causes for service disparity, such as spatio-temporal variations in wait times across different hospitals. The approach integrates four methods -- Structural Equation Modeling (SEM)-based analysis; integrated projection; service management strategy design and evaluation; and behavior-based autonomy-oriented modeling -- to address respective challenges encountered in performing data analytics and modeling studies on healthcare services. The thrust and uniqueness of this approach lies in the following aspects: Ability to explore underlying complex relationships between observed or latent impact factors and service performance. Ability to predict the changes and demonstrate the corresponding dynamics of service utilization and service performance. Ability to strategically manage service resources with the adaptation of unpredictable patient arrivals. Ability to figure out the working mechanisms that account for certain spatio-temporal patterns of service utilization and performance. To show the practical effectiveness of the proposed systematic approach, this book provides a series of pilot studies within the context of cardiac care in Ontario, Canada. The exemplified studies have unveiled some novel findings, e.g., (1) service accessibility and education may relieve the pressure of population size on service utilization; (2) functionally coupled units may have a certain cross-unit wait-time relationship potentially because of a delay cascade phenomena; (3) strategically allocating time blocks in operating rooms (ORs) based on a feedback mechanism may benefit OR utilization; (4) patients’ and hospitals’ autonomous behavior, and their interactions via wait times may bear the responsible for the emergence of spatio-temporal patterns observed in the real-world cardiac care system. Furthermore, this book presents an intelligent healthcare decision support (iHDS) system, an integrated architecture for implementing the data-driven complex systems modeling approach to developing, analyzing, investigating, supporting and advising healthcare related decisions. In summary, this book provides a data-driven systematic approach for addressing practical decision-support problems confronted in healthcare service management. This approach will provide policy makers, researchers, and practitioners with a practically useful way for examining service utilization and service performance in various ``what-if" scenarios, inspiring the design of effectiveness resource-allocation strategies, and deepening the understanding of the nature of complex healthcare service systems.
Instructor Resources: Instructor's Manual Today's healthcare managers face increasingly complex challenges and often must make decisions quickly. When a difficult situation arises, managers can no longer simply "look it up" online or in the management literature. Properly "looking it up" involves knowing where and how to look, appropriately framing a research question, weighing valid evidence, and understanding what is required to make proposed solutions work. Health Services Management: A Case Study Approach offers a diverse collection of case studies to help readers learn and apply key concepts of management, with an emphasis on the use of evidence in management practice. The case study authors, many of whom are practitioners or academics who work closely with practitioners, present realistic management challenges across a variety of settings. They examine potential responses to those challenges by health services managers and other stakeholders, and they provide a platform for meaningful discussion of opportunities and constraints for management decision makers attempting to implement change. This edition includes 60 case studies--32 of which are brand new--arranged thematically into six sections: The Role of the Manager, Control, Organizational Design, Professional Integration, Adaptation, and Accountability. The new cases include the following: - Better Metrics for Financial Management - What Makes a Patient-Centered Medical Home? - Doing the Right Thing When the Financials Do Not Support Palliative Care - Hearing the Patient Voice: Working with Patient and Family Advisers to Improve the Patient Experience - Managed Care Cautionary Tale: A Case Study in Risk Adjustment and Patient Dumping Learning by example is one of the oldest forms of learning, and the case study approach offers a time-tested way for students and healthcare professionals to develop practical skills that are not easily acquired through lectures. Health Services Management has been used in classrooms since 1978, and this eleventh edition offers a fresh take on a classic text.
Effective healthcare delivery is a vital concern for citizens and communities across the globe. The numerous facets of this industry require constant re-evaluation and optimization of management techniques. The Handbook of Research on Healthcare Administration and Management is a pivotal reference source for the latest scholarly material on emerging strategies and methods for delivering optimal healthcare opportunities and solutions. Highlighting issues relating to decision making, process optimization, and technological applications, this book is ideally designed for policy makers, administrators, students, professionals, and researchers interested in achieving superior healthcare solutions.
This concise, reader-friendly, introductory healthcare management text covers a wide variety of healthcare settings, from hospitals to nursing homes and clinics. Filled with examples to engage the reader’s imagination, the important issues in healthcare management, such as ethics, cost management, strategic planning and marketing, information technology, and human resources, are all thoroughly covered.
This book offers a comprehensive reference guide to operations research theory and applications in health care systems. It provides readers with all the necessary tools for solving health care problems. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts of operations research for the management of operating rooms, intensive care units, supply chain, emergency medical service, human resources, lean health care, and procurement. To foster a better understanding, the chapters include relevant examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers and postgraduate students pursuing research on health care management problems. The book presents a dynamic snapshot on the field that is expected to stimulate new directions and stimulate new ideas and developments.
Evidence-Based Health Care Management introduces the principles and methods for drawing sound causal inferences in research on health services management. The emphasis is on the application of structural equation modeling techniques and other analytical methods to develop causal models in health care management. Topics include causality, theoretical model building, and model verification. Multivariate modeling approaches and their applications in health care management are illustrated. The primary goals of the book are to present advanced principles of health services management research and to familiarize students with the multivariate analytic methods and procedures now in use in scientific research on health care management. The hope is to help health care managers become better equipped to use causal modeling techniques for problem solving and decision making. Evidence-based knowledge is derived from scientific replication and verification of facts. Used consistently and appropriately, it enables a health care manager to improve organizational performance. Causal inference in health care management is a highly feasible approach to establishing evidence-based knowledge that can help navigate an organization to high performance. This book introduces the principles and methods for drawing causal inferences in research on health services management.
Introduction to Health Care Management, Fourth Edition is a concise, reader-friendly, introductory healthcare management text that covers a wide variety of healthcare settings, from hospitals to nursing homes and clinics. Filled with examples to engage the reader's imagination, the important issues in healthcare management, such as ethics, cost management, strategic planning and marketing, information technology, and human resources, are all thoroughly covered. Guidelines and rubrics along with numerous case studies make this text both student-friendly and teacher-friendly. It is the perfect resource for students of healthcare management, nursing, allied health, business administration, pharmacy, occupational therapy, public administration, and public health.
Introducing state-of-the-art social research methods that address the growing methods-theory gap within and across the disciplines, this text provides readers with a comprehensive view of new and cutting-edge research methods and methodologies.