Abstract
With the rapid growth of the internet, several healthcare websites emerge in the format of inquiries and answers, which can be of significant value to reuse for online health information searchers in retrieving their desired records as primary references. Unfortunately, most of those websites do not consider the challenges the searchers will face, as they quite often are inexperienced searchers with limited healthcare domain knowledge. In this study, we consider designing the intelligent healthcare website by supplementing keyword cues to facilitate the website survey environments in orientation and navigation for searchers. A three-phase design is proposed, involving selection of health concepts, common search queries, and search intentions. The design aims to ease searchers’ mental loads in the search process, and achieve good outcome quality worthy of searchers’ references. A prototype website on dermatology is developed to demonstrate its practical application. We conclude that the proposed design approach is feasible to facilitate online information searchers in acquiring the desired records in a pull selection manner.
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References
Foster, D.: Keep complaining til someone listens: Exchanges of tacit healthcare knowledge in online illness communities. Soc. Sci. Med. 166, 25–32 (2016)
Lacher, M.S., Groh, G.: Facilitating the exchange of explicit knowledge through ontology mappings. In: FLAIRS conference, pp. 305–309 (2001)
McMurray, J., Zhu, L., McKillop, I., Chen, H.: Ontological modeling of electronic health information exchange. J. Biomed. Inform. 56, 169–178 (2015)
Debowski, S.: Wrong way: go back! An exploration of novice search behaviours while conducting an information search. Electron. Libr. 19, 371–382 (2001)
Puspitasari, I., Moriyama, K., Fukui, K., Numao, M.: Effects of individual health topic familiarity on activity patterns during health information searches. JMIR Med. Inform. 3, e16 (2015)
Rozhok, A.: Orientation and Navigation in Vertebrates. Springer, Berlin (2008)
Marchionini, G.: Information Seeking in Electronic Environments. Cambridge University Press, Cambridge (1995)
Wang, S.H.: Ontology-based semantic Q&A system in health care: an illustrated application on down syndrome. Master Thesis (unpublished), National Sun Yat-sen University (2016)
Nie, L., Zhao, Y.L., Akbari, M., Shen, J., Chua, T.S.: Bridging the vocabulary gap between health seekers and healthcare knowledge. IEEE Trans. Knowl. Data Eng. 27, 396–409 (2015)
Peffers, K., Tuunanen, T., Rothenberger, M.A., Chatterjee, S.: A design science research methodology for information systems research. J. Manag. Inf. Syst. 24, 45–77 (2007)
Cilibrasi, R.L., Vitanyi, P.M.B.: The google similarity distance. IEEE Trans. Knowl. Data Eng. 19, 370–383 (2007)
Jaccard, P.: The distribution of the flora in the alpine zone. New Phytol. 11, 37–50 (1912)
Rokach, L., Maimon, O.: Clustering methods. Data Mining and Knowledge Discovery Handbook, pp. 321–352. Springer, US (2005)
Sang, E.T.K., Bouma, G., De Rijke, M.: Developing offline strategies for answering medical questions. In: Proceedings of the AAAI-05 Workshop on Question Answering in Restricted Domains, Pittsburgh, PA, USA, pp. 41–45 (2005)
Zhang, Y.: Toward a layered model of context for health information searching: an analysis of consumer-generated questions. J. Am. Soc. Inform. Sci. Technol. 64(6), 1158–1172 (2013)
St. Sauver, J.L., Warner, D.O., Yawn, B.P., Jacobson, D.J., Mc Gree, M.E., Pankratz, J.J., Melton, L.J., Roger, III, V.L., Ebbert, J.O., Rocca, W.A.: Why patients visit their doctors: assessing the most prevalent conditions in a defined American population. Mayo Clin. Proc. 88, 56–67 (2013)
Dai, Y.X., Chen, T.J., Chang, Y.T.: Skin care services and disease prevalence in Taiwan: a nationwide study. Dermatologica Sin. 33, 124–130 (2018)
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Appendices
Appendix 1 List of Search-Intention Keyword Cues
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Appendix 2 List of Health-Concept Keyword Cues
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Chang, TM., Lin, CH., Hsu, MF., Kao, HY., Lin, SJ. (2019). Intelligent Healthcare Website Design with Keyword Cues to Facilitate Online Health Information Search. In: Chen, YW., Zimmermann, A., Howlett, R., Jain, L. (eds) Innovation in Medicine and Healthcare Systems, and Multimedia. Smart Innovation, Systems and Technologies, vol 145. Springer, Singapore. https://doi.org/10.1007/978-981-13-8566-7_33
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DOI: https://doi.org/10.1007/978-981-13-8566-7_33
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