Semantic modeling of healthcare guidelines to support health literacy and patient engagement
Lauri Lahti, Aalto University School of Science, Finland, Finland
Global Learn, in Limerick, Ireland Publisher: Association for the Advancement of Computing in Education (AACE)
Developing new methods and solutions of personalized medicine can address many current sosio-economical challenges both locally and globally. The investments made to support health can help people to have an independent, productive and happy life. To motivate the development of new patient support tools we illustrate the need for better health literacy and patient engagement, some common frameworks for modeling medical knowledge and some ways to support patients with online health queries and shared decision making. Then we provide some experimental results we have generated by semantic analysis about healthcare guidelines offered by The Finnish Medical Society Duodecim containing 85 055 words so that we created a conceptual network of 57 679 unique conceptual links traversed with 200 000 link steps. We suggest that our approach to semantic modeling of medical knowledge can be modularily applied to develop varied computational solutions for personalized medicine and health informatics.
Lahti, L. (2016). Semantic modeling of healthcare guidelines to support health literacy and patient engagement. In Proceedings of Global Learn-Global Conference on Learning and Technology (pp. 298-304). Limerick, Ireland: Association for the Advancement of Computing in Education (AACE). Retrieved February 23, 2019 from https://www.learntechlib.org/primary/p/172737/.
© 2016 Association for the Advancement of Computing in Education (AACE)
- Alrøe, H., & Noe, E. (2011). The Paradox of Scientific Expertise: A Perspectivist Approach to Knowledge Asymmetries. Fachsprache. International Journal of Specialized Communication, 33(3–4), 152–167.
- Amarakoon, S., Dahanayake, A., & Thalheim, B. (2012). A framework for modeling medical diagnosis and decision support services. International Journal of Digital Information and Wireless Communications (IJDIWC) 2(4): 276-295. The Society of Digital Information and Wireless Communications.
- Bandura, A. (1984). Recycling misconceptions of perceived self-efficacy. Cognitive Therapy and Research, 8, 231-255.
- Board on Neuroscience and Behavioral Health (2004). Health literacy: a prescription to end confusion. Board on Neuroscience and Behavioral Health, Institute of Medicine. National Academies Press, Washington, DC, USA.
- Coulter, A., Parsons, S., & Askham, J. (eds.) (2008). Where are the patients in decision-making about their own care? World Health Organiztion, Policy brief. Health Systems and Policy Analysis. WHO Regional Office for Europe and European Observatory on Health Systems and Policies. Http://www.who.int/management/general/decisionmaking/WhereArePatientsinDecisionMaking.pdf Da Silva, D. (2011). Helping People Help Themselves: A review of the evidence considering whether it is worthwhile to support self-management. Health Foundation, London, UK.
- Dietze, S., Benn, N., Domingue, J., & Orthuber, W. (2009). Blending the Physical and the Digital through Conceptual Spaces. Proc. OneSpace 2009-2nd International Workshop on Blending Physical and Digital Spaces on the Internet.
- Dutta-Bergman, M. (2005). Developing a profile of consumer intention to seek out additional information beyond a doctor: the role of communicative and motivation variables. Health Communication, 17(1), 1-16.
- FAU Erlangen-Nürnberg (2015). The Google Web 1T 5-Gram Database-SQLite Index& Web Interface-Collocations. Http://corpora.linguistik.uni-erlangen.de/demos/cgi-bin/Web1T5/Web1T5_colloc.perl Fiksdal, A., Kumbamu, A., Jadhav, A., Cocos, C., Nelsen, L., Pathak, J., & McCormick, J. (2014). Evaluating the Process of Online Health Information Searching: A Qualitative Approach to Exploring Consumer Perspectives. Journal of Medical Internet Research, 16(10): e224.
- Floca, R. (2014). Challenges of Open Data in Medical Research. In Bartling, S., & Friesike, S. (eds.), Opening Science– The Evolving Guide on How the Internet is Changing Research, Collaboration and Scholarly Publishing. ISBN: 978-3-319-00025-1 (Print) 978-3-319-00026-8 (Online).
- Fukui, S., Salyers, M., Matthias, M., Collins, L., Thompson, J., Coffman, M., & Torrey, W. (2014). Predictors of Shared Decision Making and Level of Agreement between Consumers and Providers in Psychiatric Care Community Mental Health Journal, 50(4), 375–382.
- Greenfield, S., Kaplan, S., & Ware Jr, J. (1985). Expanding patient involvement in care. Effects on patient outcomes. Annals of Internal Medicine, 102(4), 520–528.
- Greenfield, S., Kaplan, S., Ware Jr, J., Yano, E., & Frank, H. (1988). Patients' participation in medical care: effects on blood sugar control and quality of life in diabetes. Journal of General Internal Medicine, 3(5), 448–457.
- Ha, J., & Longnecker, N. (2010). Doctor-Patient Communication: A Review. The Ochsner Journal, Spring 2010, 10(1), 38–43. Http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3096184 Health Level Seven International (2016). Clinical Statement workgroup. Http://www.hl7.org/Special/committees/clinicalstatements/
- Hoffman, A., Volk, R., Saarimaki, A., Stirling, C., Li, L., Härter, M., Kamath, G., & Llewellyn-Thomas, H. (2013). Delivering patient decision aids on the Internet: definitions, theories, current evidence, and emerging research areas. BMC Medical Informatics and Decision Making, 13(2):S13.
- Johnson, K., Svirbely, J., Sriram, M., Smith, J., Kantor, G., & Rodriguez, J. (2002). Automated Medical Algorithms: Issues for Medical Errors. Journal of the American Medical Informatics Association (JAMIA), 9(6 Suppl 1), 56–57.
- Leech, G., Rayson, P., & Wilson, A. (2001). Word frequencies in written and spoken English: based on the British National Corpus. Longman, London, UK. ISBN 0582-32007-0. (A companion website: http://ucrel.lancs.ac.uk/bncfreq/flists.html ;
- Nayar, K., Kyobutungi, C., & Razum, O. (2004). Self-help: What future role in healthcare for low and middle-income countries? International Journal for Equity in Health 2004, 3:1.
- NHS England (2013). High quality care for all, now and for future generations: Transforming urgent and emergency care services in England. The Evidence Base from the Urgent and Emergency Care Review. National Health Services in England. Https://www.england.nhs.uk/wp-content/uploads/2013/06/urg-emerg-care-ev-bse.pdf Nijland, N., van Gemert-Pijnen, J., Boer, H., Steehouder, M., & Seydel, E. (2008). Evaluation of Internet-Based Technology for Supporting Self-Care: Problems Encountered by Patients and Caregivers When Using Self-Care Applications. Journal of Medical Internet Research, 10(2).
- Parascandola, M., Hawkins, J., & Danis, M. (2002). Patient autonomy and the challenge of clinical uncertainty. Kennedy Institute of Ethics Journal, 12(3), 245-64. Http://www.ncbi.nlm.nih.gov/pubmed/12472078/ Politi, M., Wolin, K., & Légaré, F. (2013). Implementing Clinical Practice Guidelines About Health Promotion and Disease Prevention Through Shared Decision Making. Journal of General Internal Medicine, 28(6), 838–844.
- Schicktanz, S., Schweda, M., & Wynne, B. (2012). The Ethics of ‘Public Understanding of Ethics’: Why and How Bioethics Expertise Should Include Public and Patients’ Voices. Medicine, HealthCare and Philosophy 15(2), 129–139.
- Scott, J. (1996). Self-Efficacy: A Key to Literacy Learning. Reading Horizons, 36(3), article 1.
- Sim, I., & Berlin, A. (2012). A framework for classifying decision support systems. Proc. American Medical Informatics Association (AMIA) Annual Symposium 2003, 599–603.
- Tsai, T., Lee, S., & Tsai, Y. (2015). Explaining selected health behaviors in a national sample of Taiwanese adults. Health Promotion International, 30(3), 563-572.
- U.S. National Library of Medicine (2016). Medical Subject Headings (MeSH). Https://www.nlm.nih.gov/mesh/meshhome.html
- Wang, J., Liang, S., & Ge, G. (2008). Establishment of a Medical Academic Word List. English for Specific Purposes, 27, 442– 458. Http://ecourse.uoi.gr/pluginfile.php/93039/mod_resource/content/0/medical_academic_word_list.pdf WHO (2016). International Classification of Diseases (International Classification of Diseases and Related Health Problems), 10th revision. World Health Organization (WHO). Http://www.who.int/classifications/icd/en/
- Winker, M., Flanagin, A., Chi-Lum, B., White, J., Andrews, K., Kennett, R., DeAngelis, C., & Musacchio, R. (2000). Guidelines for medical and health information sites on the internet: principles governing AMA websites. American Medical Association. The Journal of the American Medical Association. 283(12), 1600-6. Http://www.ncbi.nlm.nih.gov/pubmed/10735398
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