Clinical Data Mining in an Allied Health Organisation: A Real World Experience
By (Author) Roslyn Giles
Edited by Irwin Epstein
Edited by Anne Vertigan
Sydney University Press
Sydney University Press
27th September 2011
Australia
Professional and Scholarly
Non Fiction
Medical and health informatics
Data science and analysis: general
362.10
Paperback
240
Width 148mm, Height 210mm, Spine 13mm
370g
Clinical data mining in an allied health organisation: a real world experienceshows how data-mining methodology can be used to promote quality management and research in the work of allied health professions. A collection of clinical data-mining projects, conducted by a variety of discipline-specific and multidisciplinary allied health groups in regional Australia, illustrate the application of the Epstein's clinical data-mining research methodology. The chapters reflect on the ways in which this approach transforms practice by encouraging practitioner and organisational learning, client-focused service improvement and professional role satisfaction.
This book is aimed at allied health, medical and nursing professionals interested in clinical practice research, quality management and those who wish to start small-scale research projects without large grants. It will be also of interest to health service managers seeking information about data-mining methodology and its use in a clinical setting.
'This book is a valuable addition for those interested in approaches to practitioner-oriented research, particularly allied health professionals. As the editors state, this approach helps break down the dichotomy between research and practice.' -- Kevin Lyons * Journal of Allied Health *
Roslyn Giles is a senior lecturer in social work and policy studies at the University of Sydney.
Irwin Epstein is the Helen Rehr Professor of Social Work at the City University of New York.
Anne Vertigan is a cojoint lecturer at the University of Newcastle and the Director for Speech Pathology in Hunter New England Health.