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Many elderly patients suffer from psychiatric conditions that result from--or are made worse by--existing medical conditions. This new edition integrates clinical expertise needed to evaluate and treat psychiatric, medical and neurologic disorders in the older patient. Both scientific foundations of and clinical approaches to psychiatric disease are discussed by a range of experts who rely on evidence-based clinical guidelines and outcomes data. Most chapters include case studies that illuminate the approaches to diagnosis and treatment. The book's five sections include basic principles of evaluation and treatment for specific disorders; appendices offer further insight into pharmacotherapy and neuroanatomic foundation of psychiatric diseases.
An international survey of different approaches to the provision and regulation of long-term care for the elderly.
Who pays for long-term care? Discover the unique approaches of seven countries around the Pacific Rim! Long-Term Care in the Twenty-First Century discusses policies and programs for long-term care in seven countries around the Asia-Pacific Rim: the United States, Canada, Japan, Australia, Singapore, Hong Kong, and Taiwan. Each country is covered in two chapters, one to examine the philosophy and values that underlie its approaches to long-term care, the second to discuss its systems of service delivery. These thoughtful analyses, backed up with facts and figures, explain program successes and failures in the context of demographic and social trends and with reference to the differing politic...
The Massachusetts General Hospital is widely respected as one of the world's premier psychiatric institutions. Now, preeminent authorities from MGH present the newly updated edition of Massachusetts General Hospital Comprehensive Clinical Psychiatry, a unique medical reference book that continues to simplify your access to the current clinical knowledge you need - both in print and online! It provides practical approaches to a wide variety of clinical syndromes and settings, aided by stunning graphics and hundreds of questions and answers geared to each chapter. You'll have convenient access to all the authoritative answers necessary to overcome any clinical challenge. User-friendly, highly ...
Realizing the harsh potential realities such as a shortage of qualified workers and questions around funding and workforce development needed to ensure preparedness for the next public health emergency, this playbook for delivering resilient public health systems post-pandemic provides a timely oversight for future resilience.
In a world where there is increasing demand for the performance of health providers to be measured, there is a need for a more strategic vision of the role that performance measurement can play in securing health system improvement. This volume meets this need by presenting the opportunities and challenges associated with performance measurement in a framework that is clear and easy to understand. It examines the various levels at which health system performance is undertaken, the technical instruments and tools available, and the implications using these may have for those charged with the governance of the health system. Technical material is presented in an accessible way and is illustrated with examples from all over the world. Performance Measurement for Health System Improvement is an authoritative and practical guide for policy makers, regulators, patient groups and researchers.
" ... Technical reviews presented in the World Health Organization-American Psychiatric Institute for Research and Education (WHO-APIRE) conference "Public Health Aspects Classification of Mental Disorders"--P. xvii.
This book offers evidence and examples of useful experiences to help policy makers, providers and experts measure and improve the quality of long-term care services.
The book is a unique effort to represent a variety of techniques designed to represent, enhance, and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. The book provides a unique compendium of current and emerging machine learning paradigms for healthcare informatics and reflects the diversity, complexity and the depth and breath of this multi-disciplinary area. The integrated, panoramic view of data and machine learning techniques can provide an opportunity for novel clinical insights and discoveries.