Clinical Data Mining in an Allied Health Organisation: A Real World Experience shows how data-mining methodology can be used to promote quality management and research, reflecting on the ways in which this approach transforms practice by encouraging practitioner and organisational learning, client-focused service improvement and professional role satisfaction.

Preface ContributorsIntroduction Roslyn Giles, Anne E. Vertigan, Irwin Epstein and David RhodesA data-mining medley for physiotherapists: cleaning up data codes, evaluating service and improving client outcomes Judith Henderson, Christine Smith, Damien Smith, Chris Barnett, Robin Haskins and Kate Rutledge The long and winding road: creating an outcome tool for ‘prospective data mining’ of social work services Fran Hodgson and Roslyn Giles Tackling solastalgia: improving pathways to care for farming families Phoebe Begg and Sarah Thompson Mending bones and maximising independence: data mining an orthopaedic rehabilitation inpatient independent living unit Jenny Swancott The hepatitis C treatment trifecta: alcohol, marijuana and mental illness Gabrielle Murphy Applying data mining to a cohort of acute traumatic brain injury admissions: our experiences Glade Vyslysel and Lisa Channon Treating lost language: speech pathology management of aphasia in the acute hospital setting Luisa Renna and Anne E. Vertigan Unravelling low back pain in an outpatient physiotherapy service Chris Barnett, Judith Henderson, Robin Haskins, Carla Dyson and Peter Osmotherly Pre-operative assessment of voice abnormalities in patients with thyroid disease: a clinical data-mining exploration of ‘thyroid voice’ Sarah L. Bone, Anne E. Vertigan and Robert L. Eisenberg Acronyms Index