Speakers: Irwin Epstein, PhD
Clinical Data-Mining (CDM) involves the conceptualization, extraction, analysis, and interpretation of available clinical data for practice knowledge-building, clinical decision-making and practitioner reflection. Depending upon the type of data mined, CDM can be qualitative or quantitative; it is generally retrospective, but may be meaningfully combined with original data collection.
Any research method that relies on the contents of case records or information systems data inevitably has limitations, but with proper safeguards these can be minimized. Among CDM's strengths however, are that it is unobtrusive, inexpensive, presents little risk to research subjects, and is ethically compatible with practitioner value commitments. When conducted by practitioners, CDM yields conceptual as well as data-driven insight into their own practice- and program-generated questions.
This pocket guide, from a seasoned practice-based researcher, covers all the basics of conducting practitioner-initiated CDM studies or CDM doctoral dissertations, drawing extensively on published CDM studies and completed CDM dissertations from multiple social work settings in the United States, Australia, Israel, Hong Kong and the United Kingdom. In addition, it describes consulting principles for researchers interested in forging collaborative university-agency CDM partnerships, making it a practical tool for novice practitioner-researchers and veteran academic-researchers alike.
As such, this book is an exceptional guide both for professionals conducting practice-based research as well as for social work faculty seeking an evidence-informed approach to practice-research integration.
"This should be a useful source to social workers, doctoral students, and practitioners as well as allied health practitioners. It introduces the idea of CDM and the process of developing a CDM study."—Doody's
"It fills a much needed gap in the literature, not only on clinical data-mining, but also on practice research. Unlike so many other books on research, it offers a detailed explanation of the process of practice research and will be inspirational to both students and practitioners who wish to pursue this research path."—Lynette Joubert, Associate Professor of Social Work, University of Melbourne
"...a terrific contribution."—Chris Petr, Professor and PhD, Director of Social Welfare, University of Kansas
- Schedule of Events:
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Registration: 5:30 — 6:00 PM
Program: 6:00 — 7:00 PM
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This event is free but pre-registration is required
Irwin Epstein is the Rehr Professor of Applied Social Work Research (Health and Mental Health) at Hunter College School of Social Work of the City University of New York where he teaches in the PhD Program. An Adjunct Professor at the Mt. Sinai Medical Center, he has introduced the concept and methodology of "Clinical Data-mining" (CDM) into social work and allied health and has given CDM training workshops at universities, social agencies and hospitals in Australia, Britain, Finland, Hong Kong, Ireland, Israel, Singapore and the United States. His current interest is in promoting practice-research integration by engaging helping professionals in research on their own practice by using routinely available clinical data for knowledge-generation.
Author of several books and numerous articles on professionalization, program evaluation, research utilization, practice-based research and CDM, his newest book is entitled "Clinical Data-Mining: Integrating Practice and Research". It is the latest addition to the "Pocket Guide to Social Work Research Methods" series edited by Tony Tripodi and published by Oxford University Press. Part personal memoir, part critique of Evidence-based Practice and part research guide for practitioners, doctoral dissertation students and academic researchers, the book is intended to promote more collaborative relationships between practitioners and researchers and to empower practitioners to contribute to knowledge. And, if you can believe it, at times, it's even funny.
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