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The Pharmaceutical Industry has been undergoing a major transformation since the heady days of 'big pharma' in the 1970s and 80s. Patent expiry, the rise of generics, and the decline of the blockbuster drug have all changed the landscape over the last 10-15 years. It's an environment where products can take 10 years or more to come to market, billions are spent on research and development, jobs are being shed in the western pharma homelands and regulators and the public are more demanding than ever. So what part is Knowledge Management playing and going to play in this vital international industry? Knowledge Management (KM) has many facets from providing comprehensive knowledge bases for workers, through the sharing of advice and problem solving, to providing an environment for innovation and change. This book, focusing on research and development, and manufacturing-based companies, explores how a range of techniques and approaches have been applied in the unique environment of the Pharmaceutical Industry, and examine how it can help the industry in the 21st century. Whilst the book is centered on the Pharmaceutical Industry, its objective will be to discuss and demonstrate how Knowledge Management can be applied in a variety of environments, and with a range of cultural issues. KM practitioners, and potential practitioners, both within and outside the Pharmaceutical Industry, will be able to gain valuable guidance and advice from both the examples of good practice and the lessons learned by the authors and contributors.
This book addresses the rapidly emerging field of Knowledge Management in the pharmaceutical, medical devices and medical diagnostics industries. In particular, it explores the role that Knowledge Management can play in ensuring the delivery of safe and effective products to patients. The book also provides good practice examples of how the effective use of an organisation’s knowledge assets can provide a path towards business excellence.
This book addresses the rapidly emerging field of Knowledge Management in the pharmaceutical, medical devices and medical diagnostics industries. In particular, it explores the role that Knowledge Management can play in ensuring the delivery of safe and effective products to patients. The book also provides good practice examples of how the effective use of an organisation’s knowledge assets can provide a path towards business excellence.
Knowledge management continues to play an important role in management practice, in private and public organisations, in community informatics and in other groups. Once thought of as a fad it is now clear that knowledge management is an important issue which all organisations face and will continue to face for the foreseeable future. As a result the teaching of knowledge management and the research into its development as a field of study is of considerable importance to business schools, professional organisations, public sector bodies as well as to educators. Case studies can provide a contextual perspective on real world experiences in KM. This book contains 11 case studies chosen by Professor Kenneth Grant and it illustrates many of the important issues of which both students and practitioners need to be aware. These case studies should also prove useful as teaching examples. The case studies provided in this book cover subjects such as KM effectiveness gap analysis, the elicitation of intellectual capital performance, the reconfiguration of knowledge management practices and international strategic alliances. Private sector cases include examples from the pharmaceutical industry, manufacturing and consulting, while the public sector cases include the creation of a judicial environment, patient centred treatment in a general hospital and KM in the French Air Force fighter squadrons. The contributors to this book come from Australia, Canada, China, France, Italy, India, Malaysia, Spain, The Netherlands and The Untied Kingdom.
The healthcare industry produces a constant flow of data, creating a need for deep analysis of databases through data mining tools and techniques resulting in expanded medical research, diagnosis, and treatment. Data Mining and Medical Knowledge Management: Cases and Applications presents case studies on applications of various modern data mining methods in several important areas of medicine, covering classical data mining methods, elaborated approaches related to mining in electroencephalogram and electrocardiogram data, and methods related to mining in genetic data. A premier resource for those involved in data mining and medical knowledge management, this book tackles ethical issues related to cost-sensitive learning in medicine and produces theoretical contributions concerning general problems of data, information, knowledge, and ontologies.