Clinical data-mining: Learning from practice in international settings

Marina Lalayants*, Irwin Epstein, Gail K. Auslander, Wallace Chi Ho Chan, Christa Fouché, Ros Giles, Lynette Joubert, Hadas Rosenne, Anne Vertigan

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)

Abstract

This article describes a practice-based, mixed-method research methodology - Clinical Data-Mining (CDM) - as a strategy for engaging international practitioners for describing, evaluating and reflecting upon endogenous forms of practice with the ultimate goal of improving practice and contributing to knowledge (Epstein, 2010). These knowledge contributions are perforce 'local', but through conceptual reflection and/or empirical replication they may also be 'globalized'. More specifically, the article defines, describes, and details CDM methodology; discusses its strengths and limitations; and illustrates international applications in Australia, Hong Kong, Israel, New Zealand, and the United States. It also describes various infra-structural support platforms and CDM's primary and secondary organizational benefits.

Original languageEnglish
Pages (from-to)775-797
Number of pages23
JournalInternational Social Work
Volume56
Issue number6
Early online date27 Mar 2012
DOIs
Publication statusPublished - 1 Nov 2013
Externally publishedYes

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