Healthcare market segmentation and data mining: A systematic review

dc.contributor.authorSwenson, Eric R.
dc.contributor.authorBastian, Nathaniel D.
dc.contributor.authorNembhard, Harriet B.
dc.date.accessioned2023-10-03T18:42:33Z
dc.date.available2023-10-03T18:42:33Z
dc.date.issued2018
dc.description.abstractProviding insight into healthcare consumers’ behaviors and attitudes is critical information in an environment where healthcare delivery is moving rapidly towards patient-centered care that is premised upon individuals becoming more active participants in managing their health. A systematic review of the literature concerning healthcare market segmentation and data mining identified several areas for future health marketing research. Common themes included: (a) reliance on survey data, (b) clustering methods, (c) limited classification modeling after clustering, and (d) detailed analysis of clusters by demographic data. Opportunities exist to expand health-marketing research to leverage patient level data with advanced data mining methods.
dc.description.sponsorshipArmy Cyber Institute
dc.identifier.citationEric R. Swenson, Nathaniel D. Bastian & Harriet B. Nembhard (2018) Healthcare market segmentation and data mining: A systematic review, Health Marketing Quarterly, 35:3, 186-208, DOI: 10.1080/07359683.2018.1514734
dc.identifier.doihttps://doi.org/10.1080/07359683.2018.1514734
dc.identifier.issn0735-9683
dc.identifier.issn1545-0864
dc.identifier.urihttps://hdl.handle.net/20.500.14216/798
dc.publisherHealth Marketing Quarterly
dc.relation.ispartofHealth Marketing Quarterly
dc.subjectHealthcare Market Segmentation
dc.subjectData Mining
dc.subjectSystematic review
dc.titleHealthcare market segmentation and data mining: A systematic review
dc.typejournal-article
local.peerReviewedYes
oaire.citation.issue3
oaire.citation.volume35

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