Status of Health Information Classification for Consumer Information Retrieval

Persistent Link:
http://hdl.handle.net/10150/105766
Title:
Status of Health Information Classification for Consumer Information Retrieval
Author:
Whetstone, Melinda
Editors:
Lussky, Joan
Citation:
Status of Health Information Classification for Consumer Information Retrieval 2007,
Issue Date:
2007
URI:
http://hdl.handle.net/10150/105766
Submitted date:
2007-10-20
Abstract:
With a growing movement toward patient-centric health care and patient empowerment, consumers are encouraged to take an active role in their health care. In fact, nearly 80% of Americans are taking to the Internet to search for health information (Fox, 2006). In addition to the Internet, consumers have access to a growing number of health search engines and professional biomedical databases via health science libraries. However, the consumer’s ability to efficiently retrieve information that is understandable and pertinent to their query is hindered (Volk, 2007) for reasons that include inexperience with “technical terminology,” (Zeng & Tse, 2006) and poor database usability (Smith, 2007). Several organizations are engaged in efforts to refine capabilities to match consumer health queries with accurate information (Smith, 2007; Zeng & Tse, 2006; Zeng et al., 2006). However, as more consumers seek health information in this growing empowered climate and more information is made available, there is an increasing danger that the consumer will become more confused and less able to find pertinent information. This paper explores three areas: it examines the current biomedical ontologies that are used for consumer health searches; it looks at the current means for health information retrieval (IR); and it explores ongoing projects that serve to improve consumer search capabilities. To evaluate the effects of multiple ontologies and search methods, a consumer’s health query was posed using several health search methods.
Type:
Conference Paper
Language:
en
Keywords:
Classification
Local subject classification:
health information; consumer health queries; biomedical ontologies; health information retrieval

Full metadata record

DC FieldValue Language
dc.contributor.authorWhetstone, Melindaen_US
dc.contributor.editorLussky, Joanen_US
dc.date.accessioned2007-10-20T00:00:01Z-
dc.date.available2010-06-18T23:34:02Z-
dc.date.issued2007en_US
dc.date.submitted2007-10-20en_US
dc.identifier.citationStatus of Health Information Classification for Consumer Information Retrieval 2007,en_US
dc.identifier.urihttp://hdl.handle.net/10150/105766-
dc.description.abstractWith a growing movement toward patient-centric health care and patient empowerment, consumers are encouraged to take an active role in their health care. In fact, nearly 80% of Americans are taking to the Internet to search for health information (Fox, 2006). In addition to the Internet, consumers have access to a growing number of health search engines and professional biomedical databases via health science libraries. However, the consumer’s ability to efficiently retrieve information that is understandable and pertinent to their query is hindered (Volk, 2007) for reasons that include inexperience with “technical terminology,” (Zeng & Tse, 2006) and poor database usability (Smith, 2007). Several organizations are engaged in efforts to refine capabilities to match consumer health queries with accurate information (Smith, 2007; Zeng & Tse, 2006; Zeng et al., 2006). However, as more consumers seek health information in this growing empowered climate and more information is made available, there is an increasing danger that the consumer will become more confused and less able to find pertinent information. This paper explores three areas: it examines the current biomedical ontologies that are used for consumer health searches; it looks at the current means for health information retrieval (IR); and it explores ongoing projects that serve to improve consumer search capabilities. To evaluate the effects of multiple ontologies and search methods, a consumer’s health query was posed using several health search methods.en_US
dc.format.mimetypedocen_US
dc.language.isoenen_US
dc.subjectClassificationen_US
dc.subject.otherhealth informationen_US
dc.subject.otherconsumer health queriesen_US
dc.subject.otherbiomedical ontologiesen_US
dc.subject.otherhealth information retrievalen_US
dc.titleStatus of Health Information Classification for Consumer Information Retrievalen_US
dc.typeConference Paperen_US
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