The need for traditional Chinese medicine morbidity research

Meier, PC; Rogers, C

The need for traditional Chinese medicine morbidity research

Meier, PC

Rogers, C

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Publication Type:: Journal Article
Citation:: Complementary Therapies in Medicine, 2007, 15 (4), pp. 284 - 288
Issue Date:: 2007-12-01

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Field	Value	Language
dc.contributor.author	Meier, PC https://orcid.org/0000-0001-6911-3511	en_US
dc.contributor.author	Rogers, C	en_US
dc.date.available	2006-06-29	en_US
dc.date.issued	2007-12-01	en_US
dc.identifier.citation	Complementary Therapies in Medicine, 2007, 15 (4), pp. 284 - 288	en_US
dc.identifier.issn	0965-2299	en_US
dc.identifier.uri	http://hdl.handle.net/10453/5887
dc.description.abstract	Traditional Chinese medicine (TCM) has long justified its practice on empirical phenomenology. Questions remain, however, as to the legitimacy of this approach and its relevance to TCM practice and educational developments in the 21st century. General medical practice (GMP) has used practice-based data collected over the past 25 years to develop relevant medical curriculum and enhance patient care. As TCM becomes ever more incorporated into Western educational and health systems, it too must concern itself with providing a solid evidence base to be used in enhancing patient care and educational curriculum. Computer generated data related to patient problems or problem complexes abstracted from TCM clinical records can provide the basis for practitioner development and the enhancement of training programs that will lead to improvements in patient care. Such locally valid and representative data can also be used to inform research programs, public policy and evidence-based commissioning. The key to developing such systems is standardising TCM terminology and data collection protocols. © 2006 Elsevier Ltd. All rights reserved.	en_US
dc.relation.ispartof	Complementary Therapies in Medicine	en_US
dc.relation.isbasedon	10.1016/j.ctim.2006.06.006	en_US
dc.subject.classification	Complementary & Alternative Medicine	en_US
dc.subject.mesh	Humans	en_US
dc.subject.mesh	Medicine, Chinese Traditional	en_US
dc.subject.mesh	Evidence-Based Medicine	en_US
dc.subject.mesh	Curriculum	en_US
dc.subject.mesh	Education, Medical	en_US
dc.subject.mesh	Clinical Competence	en_US
dc.subject.mesh	Primary Health Care	en_US
dc.subject.mesh	Delivery of Health Care, Integrated	en_US
dc.subject.mesh	Quality Assurance, Health Care	en_US
dc.title	The need for traditional Chinese medicine morbidity research	en_US
dc.type	Journal Article
utslib.citation.volume	4	en_US
utslib.citation.volume	15	en_US
utslib.for	110404 Traditional Chinese Medicine and Treatments	en_US
utslib.for	1104 Complementary and Alternative Medicine	en_US
utslib.for	1701 Psychology	en_US
dc.location.activity	ISI:000252349800008	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Medical and Molecular Sciences
utslib.copyright.status	open_access
pubs.issue	4	en_US
pubs.publication-status	Published	en_US
pubs.volume	15	en_US

Abstract:

Traditional Chinese medicine (TCM) has long justified its practice on empirical phenomenology. Questions remain, however, as to the legitimacy of this approach and its relevance to TCM practice and educational developments in the 21st century. General medical practice (GMP) has used practice-based data collected over the past 25 years to develop relevant medical curriculum and enhance patient care. As TCM becomes ever more incorporated into Western educational and health systems, it too must concern itself with providing a solid evidence base to be used in enhancing patient care and educational curriculum. Computer generated data related to patient problems or problem complexes abstracted from TCM clinical records can provide the basis for practitioner development and the enhancement of training programs that will lead to improvements in patient care. Such locally valid and representative data can also be used to inform research programs, public policy and evidence-based commissioning. The key to developing such systems is standardising TCM terminology and data collection protocols. © 2006 Elsevier Ltd. All rights reserved.

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http://hdl.handle.net/10453/5887