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Intended for family physicians and others in primary care delivery. Compatible with International classification of diseases, 9th ed.
This edition of ICD-O, the standard tool for coding diagnoses of neoplasms in tumour and cancer registrars and in pathology laboratories, has been developed by a working party convened by the International Agency for Research on Cancer / WHO. ICD-O is a dual classification with coding systems for both topography and morphology. The book has five main sections. The first provides general instructions for using the coding systems and gives rules for their implementation in tumour registries and pathology laboratories. Section two includes the numerical list of topography codes, which remain unchanged from the previous edition. The numerical list of morphology codes is presented in the next section, which introduces several new terms and includes considerable revisions of the non-Hodgkin lymphoma and leukaemia sections, based on the WHO Classification of Hematopoietic and Lympoid Diseases. The five-digit morphology codes allow identification of a tumour or cell type by histology, behaviour, and grade. Revisions in the morphology section were made in consultation with a large number of experts and were finalised after field-testing in cancer registries around the world. The alphabetical index gives codes for both topography and morphology and includes selected tumour-like lesions and conditions. A guide to differences in morphology codes between the second and third editions is provided in the final section, which includes lists of all new code numbers, new terms and synonyms added to existing code definitions, terms that changed morphology code, terms for conditions now considered malignant, deleted terms, and terms that changed behaviour code.
In response to a request by the Health Care Financing Administration (HCFA), the Institute of Medicine proposed a study to examine definitions of serious or complex medical conditions and related issues. A seven-member committee was appointed to address these issues. Throughout the course of this study, the committee has been aware of the fact that the topic addressed by this report concerns one of the most critical issues confronting HCFA, health care plans and providers, and patients today. The Medicare+Choice regulations focus on the most vulnerable populations in need of medical care and other services-those with serious or complex medical conditions. Caring for these highly vulnerable populations poses a number of challenges. The committee believes, however, that the current state of clinical and research literature does not adequately address all of the challenges and issues relevant to the identification and care of these patients.
'Motor Neuron Disease in Adults' reviews new information from 1998 as it applies to all aspects of motor neuron disease. Articles included use evidence-based methods to ensure that the new information is solid and advances the topic. The book can be used by anyone who provides any type of care to ALS patients.
Implementing Precision Medicine in Best Practices of Chronic Airway Diseases provides a comprehensive overview of the application of precision medicine in airway diseases with a goal of promoting optimal control of disease, higher patient satisfaction and disease prevention. As medical research continues to fund this area, the book highlights the need for implementation of the principles of precision medicine into the bedside management of chronic airway diseases. It is clear that chronic airway diseases are heterogeneous and that a personalized approach is warranted whereby treatment is tailored to the level of the individual patient.Written for basic researchers, medical doctors and other healthcare practitioners this book provides guidance on the implementation of the principles of precision medicine into further research and daily clinical practice. - Bridges the gap between precision medicine research and the implementation of the principles into daily clinical practice - Includes contributions from key opinion leaders in the field of airway disease giving a worldwide perspective - Discusses precision medicine in terms of personalized and stratified medicine, biomarkers, prediction of success, participation of the patient and prevention of disease
This open access book describes the results of natural language processing and machine learning methods applied to clinical text from electronic patient records. It is divided into twelve chapters. Chapters 1-4 discuss the history and background of the original paper-based patient records, their purpose, and how they are written and structured. These initial chapters do not require any technical or medical background knowledge. The remaining eight chapters are more technical in nature and describe various medical classifications and terminologies such as ICD diagnosis codes, SNOMED CT, MeSH, UMLS, and ATC. Chapters 5-10 cover basic tools for natural language processing and information retrieval, and how to apply them to clinical text. The difference between rule-based and machine learning-based methods, as well as between supervised and unsupervised machine learning methods, are also explained. Next, ethical concerns regarding the use of sensitive patient records for research purposes are discussed, including methods for de-identifying electronic patient records and safely storing patient records. The book’s closing chapters present a number of applications in clinical text mining and summarise the lessons learned from the previous chapters. The book provides a comprehensive overview of technical issues arising in clinical text mining, and offers a valuable guide for advanced students in health informatics, computational linguistics, and information retrieval, and for researchers entering these fields.
"The WHO Classification of Tumours of the Digestive System presented in this book reflects the views of a Working Group that convened for an Editorial and Consensus Conference at the International Agency for Research on Cancer (IARC), Lyon, December 10-12, 2009"--P. [5].