Clinical data-mining: Learning from practice in international settings
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 t...
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Veröffentlicht in: | International social work 2013-11, Vol.56 (6), p.775-797 |
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Hauptverfasser: | , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | 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. |
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ISSN: | 0020-8728 1461-7234 |
DOI: | 10.1177/0020872811435370 |