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Provision of Tailored Health Information for Patient Empowerment: An Initial Study

Published: 21 June 2019 Publication History

Abstract

Search of "right" health information by patients/citizens is an important step towards their empowerment. The number of health information seekers on the Internet is steadily increasing over the years so it is crucial to understand their information needs and the challenges they face during the search process. However, generic search engines do not make any distinction among the users and overload them with the amount of information. Moreover, specific search engines/sites mostly work on medical literature and are built by hand. This paper analyses the possibility of providing the user with tailored web information by exploiting the web semantic capabilities and, in particular, those of schema.org and its health-lifesci extension. After presenting a short review of the main user requirements when searching for health information on the Internet, an analysis of schema.org and its health-lifesci extension is shown to understand the main properties and semantic capabilities in the health/medical domain. Finally, an initial mapping among user requirements and schema.org elements is presented in order to provide expert and non-expert user categories with web pages that satisfy their specific requirements.

References

[1]
WHO. 1986. Health promotion glossary. WHO/HPR/HEP/98.1.
[2]
S. Banna, H. Hasan, P. Dawson. 2016. Understanding the diversity of user requirements for interactive online health services. International Journal of Healthcare Technology and Management, 15(3), p.253.
[3]
H. Taylor, 2010. HI-Harris-Poll-Cyberchondrics. Harris Interactive. https://theharrispoll.com/the-latest-harris-poll-measuring-how-many-people-use-the-internet-to-look-for-information-about-health-topics-finds-that-the-numbers-continue-to-increase-the-harris-poll-first-used-the-word-cyberch/.
[4]
S. Fox, M. Duggan. 2013. Health Online 2013. Pew, Research Center's Internet & American Life Project, http://www.pewinternet.org/2013/01/15/health-online-2013/.
[5]
A. Spink et al. A study of medical and health queries to web search engines. 2004. Health Information and Libraries Journal, 21, 44-- 51.
[6]
A. Keselman, A.C. Browne, D.R. Kaufman. 2008. Consumer health information seeking as hypothesis testing. J. Am. Med. Inform. Assoc, 15, 4 (2008), 484-- 495
[7]
G. Luo, C. Tang, H. Yang, X. Wei. 2008. MedSearch: A specialized search engine for medical information retrieval. In Proc. CIKM '08.
[8]
N. Pletneva, A. Vargas, C. Boyer. 2011. Requirements for the general public health search. Khresmoi Public Deliverable D8.1.1.
[9]
T. Roberts. (2017). Searching the Internet for Health Information: Techniques for Patients to Effectively Search Both Public and Professional Websites. SLE Workshop at Hospital for Special Surgery Tips For Evaluating the Quality of Health, 1--12.
[10]
W. Pian, C.S.G. Khoo, J. Chi. 2017. Automatic classification of users' health information need context: Logistic regression analysis of mouse-click and eye-tracker data. Journal of Medical Internet Research, 19(12).
[11]
P. C.-I. Pang, K. Verspoor, J. Pearce, S. Chang. 2015. Better Health Explorer: Designing for Health Information Seekers. In OzCHI '15 Proceedings of the Annual Meeting of the Australian Special Interest Group for Computer Human Interaction (pp. 588--597).
[12]
A. Keselman, R. Logan, C. Smith. 2008. Developing informatics tools and strategies for consumer-centered health communication. Journal of the American Medical Informatics Association: JAMIA, 15(4), 473--483.
[13]
R. Meusel, P. Petrovski, C. Bizer. 2014. The WebDataCommons Microdata, RDFa and Microformat Dataset Series. In Proc. of the 13th International Semantic Web Conference (ISWC14), Springer-Verlag New York, Inc., New York, NY, USA, 277--292.
[14]
M. Alfano, B. Lenzitti, D. Taibi, M. Helfert. 2019. Facilitating access to health web pages with different language complexity levels. Proc. of the 5th International Conference on Information and Communication Technologies for Ageing Well and e-Health (ICT4AWE 2019), 2-4 May 2019, Heraklion-Crete.
[15]
G. Leroy et al. 2012. Improving perceived and actual text difficulty for health information consumers using semi-automated methods. AMIA Annual Symposium proceedings / AMIA Symposium. 2012, pp.522--31.
[16]
N. Kloehn et al. 2018. Improving consumer understanding of medical text: Development and validation of a new subsimplify algorithm to automatically generate term explanations in English and Spanish. Journal of Medical Internet Research, 20(8).
[17]
Who. (2003). Improving Data Quality: A Guide for Developing Countries, 1--74. Retrieved from http://www.wpro.who.int/publications/docs/improving_data_quality.pdf
[18]
G. Eysenbach, J. Powell, O. Kuss, E.-R. Sa. 2002. Empirical studies assessing the quality of health information for consumers on the world wide web: a systematic review. JAMA: The Journal of the American Medical Association, 287(20), 2691--2700.
[19]
A.R. Jadad, A. Gagliardi. 1998. Rating Health Information on the Internet. Jama, 279(8), 611.
[20]
D. Lo Castro, D. Tegolo, C. Valenti, Filter bank: A directional approach for retinal vessel segmentation, (2018) Proceedings - 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017, 2018-January, pp. 1--6. Conference Short Name:WOODSTOCK'18Conference Location:El Paso, Texas USA.
[21]
G. Sciortino, D. Tegolo, C. Valenti. Automatic detection and measurement of nuchal translucency. Computers in Biology and Medicine, Volume 82, Pages 12-20, 2017.

Cited By

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  • (2023)An Intelligent Empowering Agent (IEA) to Provide Easily Understood and Trusted Health Information Appropriate to the User NeedsArtificial Intelligence and Cognitive Science10.1007/978-3-031-26438-2_14(175-188)Online publication date: 23-Feb-2023
  • (2021)On-Line Retrieval of Health Information Based on Language Complexity, Information Customization and Information QualityInformation and Communication Technologies for Ageing Well and e-Health10.1007/978-3-030-70807-8_1(1-20)Online publication date: 26-Feb-2021
  • (2020)Language Complexity in On-line Health Information RetrievalInformation and Communication Technologies for Ageing Well and e-Health10.1007/978-3-030-52677-1_5(79-100)Online publication date: 8-Jul-2020
  • Show More Cited By

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cover image ACM Other conferences
CompSysTech '19: Proceedings of the 20th International Conference on Computer Systems and Technologies
June 2019
365 pages
ISBN:9781450371490
DOI:10.1145/3345252
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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  • UORB: University of Ruse, Bulgaria

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 June 2019

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Author Tags

  1. Health Information Seeking
  2. Patient Empowerment
  3. Structured Data on the Web
  4. User Requirements
  5. schema.org

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  • Research-article
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  • Refereed limited

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CompSysTech '19

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Overall Acceptance Rate 241 of 492 submissions, 49%

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Cited By

View all
  • (2023)An Intelligent Empowering Agent (IEA) to Provide Easily Understood and Trusted Health Information Appropriate to the User NeedsArtificial Intelligence and Cognitive Science10.1007/978-3-031-26438-2_14(175-188)Online publication date: 23-Feb-2023
  • (2021)On-Line Retrieval of Health Information Based on Language Complexity, Information Customization and Information QualityInformation and Communication Technologies for Ageing Well and e-Health10.1007/978-3-030-70807-8_1(1-20)Online publication date: 26-Feb-2021
  • (2020)Language Complexity in On-line Health Information RetrievalInformation and Communication Technologies for Ageing Well and e-Health10.1007/978-3-030-52677-1_5(79-100)Online publication date: 8-Jul-2020
  • (2019)ULearn: Personalized Medical Learning on the Web for Patient EmpowermentAdvances in Web-Based Learning – ICWL 201910.1007/978-3-030-35758-0_20(217-228)Online publication date: 16-Nov-2019
  • (undefined)Reducing Abandonment and Improving Attitudes in Emergency Departments: Integrating Delay Announcements into Operational Transparency to Signal Service QualitySSRN Electronic Journal10.2139/ssrn.4120485

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