v. 1. Research findings -- v. 2. Concepts and methodology -- v. 3. Implementation issues -- v. 4. Programs, tools and products.

Drawing on the work of the Roundtable on Evidence-Based Medicine, the 2007 IOM Annual Meeting assessed some of the rapidly occurring changes in health care related to new diagnostic and treatment tools, emerging genetic insights, the developments in information technology, and healthcare costs, and discussed the need for a stronger focus on evidence to ensure that the promise of scientific discovery and technological innovation is efficiently captured to provide the right care for the right patient at the right time. As new discoveries continue to expand the universe of medical interventions, treatments, and methods of care, the need for a more systematic approach to evidence development and application becomes increasingly critical. Without better information about the effectiveness of different treatment options, the resulting uncertainty can lead to the delivery of services that may be unnecessary, unproven, or even harmful. Improving the evidence-base for medicine holds great potential to increase the quality and efficiency of medical care. The Annual Meeting, held on October 8, 2007, brought together many of the nation's leading authorities on various aspects of the issues - both challenges and opportunities - to present their perspectives and engage in discussion with the IOM membership.

Features reviews and research on topics in the field of health care management. This work also contains papers from the Health Care Management Division of the Academy of Management.

Advances in Health Care Management Volume 17 helps to shape emerging thinking about best practices in international health care management. The volume is divided into two sections: a set of commentaries from US and European scholars, and research articles that compare two or more health systems and focus on specific topics in health care delivery.

Explore the evolution of organization theory in the health care sector Advances in Health Care Organization Theory, 2nd Edition, introduces students in health administration to the fields of organization theory and organizational behavior and their application to the management of health care organizations. The book explores the major health care developments over the past decade and demonstrates the contribution of organization theory to a deeper understanding of the changes in the delivery system, including the historic passage of the Patient Protection and Affordable Care Act of 2010. Taking both a micro and macro view, editors Stephen S. Mick and Patrick D. Shay, collaborate with a roster of contributing experts to compile a comprehensive volume that covers the latest in organization theory. Topics include: Institutional and neo-institutional theory Patient-centered practices and organizational culture change Design and implementation of patient-centered care management teams Hospital-based clusters as new organizational structures Application of social network theory to health care

As developed economies enter a period of slower growth, emerging economies such as India have become prime examples of how more can be achieved with less. Bringing together experience and expertise from across the healthcare industry, this book examines innovations that can bring about real advances in the healthcare industry. Innovations in H

Healthcare Data Analytics and Management help readers disseminate cutting-edge research that delivers insights into the analytic tools, opportunities, novel strategies, techniques and challenges for handling big data, data analytics and management in healthcare. As the rapidly expanding and heterogeneous nature of healthcare data poses challenges for big data analytics, this book targets researchers and bioengineers from areas of machine learning, data mining, data management, and healthcare providers, along with clinical researchers and physicians who are interested in the management and analysis of healthcare data. - Covers data analysis, management and security concepts and tools in the healthcare domain - Highlights electronic medical health records and patient information records - Discusses the different techniques to integrate Big data and Internet-of-Things in healthcare, including machine learning and data mining - Includes multidisciplinary contributions in relation to healthcare applications and challenges