Health recommender systems: Concepts, requirements, technical basics and challenges

International Journal of Environmental Research and Public Health

Volumn 11, Issue 3, 2014, Pages 2580-2607

  Wiesner, Martin ^a   Pfeifer, Daniel ^a  

^a HEILBRONN UNIVERSITY   (Germany)

Author keywords

Health information seeking; Health recommender systems; Information needs; Internet; Personal health record; Personalized medicine; Relevance computation

Indexed keywords

DATABASE; HEALTH STATUS; INFORMATION SYSTEM; INTERNET; RECORD;

ARTICLE; COMPUTER; DATA BASE; ELECTRONIC MEDICAL RECORD; HEALTH CARE; HEALTH CARE PERSONNEL; HEALTH CARE PLANNING; HEALTH PRACTITIONER; HEALTH RECOMMENDER SYSTEMS; HEALTH STATUS; HUMAN; INFORMATION RETRIEVAL; INFORMATION SEEKING; MEDICAL EXPERT; MEDICAL INFORMATION SYSTEM; ONLINE SYSTEM; PATIENT DECISION MAKING; PERSONALIZED MEDICINE; TREATMENT PLANNING; DECISION SUPPORT SYSTEM; EVALUATION STUDY; MEDICAL RECORD; NOMENCLATURE;

DECISION SUPPORT SYSTEMS, CLINICAL; ELECTRONIC HEALTH RECORDS; EVALUATION STUDIES AS TOPIC; HEALTH RECORDS, PERSONAL; TERMINOLOGY AS TOPIC;

EID: 84897901789     PISSN: 16617827     EISSN: 16604601     Source Type: Journal    
DOI: 10.3390/ijerph110302580     Document Type: Article

References (75)

1. Gavgani, V.Z. Health Information Need and Seeking Behavior of Patients in Developing Countries' Context; an Iranian Experience. In Proceedings of the 1st ACM International Health Informatics Symposium (IHI '10), ACM, New York, NY, USA, 11-12 November 2010; pp. 575-579.
2. Pew Internet & American Life project. Health Online 2013-81% of U.S. Adults Use the Internet and 59% Say They Have Looked Online for Health Information. Available online: http://www.pewinternet.org/Reports/2013/Health-online.aspx (accessed on 30 January 2014).
3. Gerber, B.S.; Eiser, A.R. The patient-physician relationship in the Internet age: Future prospects and the research agenda. J. Med. Internet Res. 2001, 3, doi:10.2196/jmir.3.2.e15.
4. Kivits, J. Informed patients and the Internet. A mediated context for consultations with health professionals. J. Health Psychol. 2006, 11, 269-282, doi:10.1177/1359105306061186.
5. McMullan, M. Patients using the Internet to obtain health information: How this affects the patient-health professional relationship. Patient Educ. Counsel. 2006, 63, 24-28, doi:10.1016/j.pec.2005.10.006.
6. Ueckert, F.; Goerz, M.; Ataian, M.; Tessmann, S.; Prokosch, H.U. Empowerment of patients and communication with health care professionals through an electronic health record. Int. J. Med. Inf. 2003, 70, 99-108. doi:10.1016/S1386-5056(03)00052-2.
7. Anderson, R.M.; Funnell, M.M. Patient empowerment: Reflections on the challenge of fostering the adoption of a new paradigm. Patient Educ. Counsel. 2005, 57, 153-157, doi:10.1016/j.pec.2004.05.008.
8. Sommerhalder, K.; Abraham, A.; Zufferey, M.C.; Barth, J.; Abel, T. Internet information and medical consultations: Experiences from patients and physicians' perspectives. Patient Educ. Counsel. 2009, 77, 266-271, doi:10.1016/j.pec.2009.03.028.
9. Hardey, M. Doctor in the house: The Internet as a source of lay health knowledge and the challenge to expertise. Sociol. Health Illness 1999, 21, 820-835, doi:10.1111/1467-9566.00185.
10. Swan, M. Emerging patient-driven health care models: An examination of health social networks, consumer personalized medicine and quantified self-tracking. Int. J. Environ. Res. Public Health 2009, 6, 492-525, doi:10.3390/ijerph6020492.
11. Roitman, H.; Yossi M.; Yevgenia T.; Yonatan M. Increasing Patient Safety Using Explanationdriven Personalized Content Recommendation. In Proceedings of the 1st ACM International Health Informatics Symposium (IHI '10), ACM, New York, NY, USA, 11-12 November 2010; pp. 430-434.
12. Agarwal, D.; Chen, B.; Elango, P.; Ramakrishnan, R. Content recommendation on web portals. Commun. ACM 2013, 56, 92-101.
13. Müller, H.; Hanbury, A.; Al Shorbaji, N. Health information search to deal with the exploding amount of health information produced. Methods Inf. Med. 2012, 51, 516.
14. Tang, P.C.; Ash, J.S.; Bates, D.W.; Overhage, J.M.; Sands, D.Z. Personal health records: Definitions, benefits, and strategies for overcoming barriers to adoption. J. Am. Med. Informatics. Assoc. 2006, 13, 121-126. doi:10.1197/jamia.M2025.
15. Kantor, P.B.; Ricci, F.; Rokach, L.; Shapira, B. Recommender Systems Handbook; Springer: Heidelberg, Germany, 2011.
16. Adomavicius, G.; Tuzhilin, A. Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE Trans. Knowl. Data Eng. 2005, 17, 734-749.
17. McCann, E. PHR Progress Still Hangs in Limbo-Interoperability Shortcomings Stand in the Way, Researchers Note. Available online: http://www.healthcareitnews.com/news/mobile-personalhealth- record-progress-hangs-in-limbo (accessed on 28 January 2014).
18. Chase, D. Why Google Health Really Failed-It's about the Money. Available online: http://techcrunch.com/2011/06/26/why-google-really-failed-money/ (accessed on 28 January 2014).
19. Markle Foundation. The Personal Health Working Group: Final Report. Available online: http://www.policyarchive.org/collections/markle/index?section=5&id=15473 (accessed on 25 January 2014).
20. Health Informatics-Electronic Health Record-Definition, Scope And Context; Standard ISO/TR 20514:2005; International Organization for Standardization: Geneva, Switzerland, 2005.
21. Jones, D.A.; Shipman, J.P.; Plaut, D.A.; Selden, C.R. Characteristics of personal health records: Findings of the medical library association/national library of medicine joint electronic personal health record task force. J. Med. Lib. Assoc. JMLA 2010, 98, 243-249, doi:10.3163/1536- 5050.98.3.013.
22. Baird, A.; North, F.; Raghu, T. Personal Health Records (PHR) and the Future of the Physician-Patient Relationship. In Proceedings of the 2011 iConference, ACM, New York, NY, USA, 8-11 February 2011; pp. 281-288.
23. Liu, L.S.; Shih, P.C.; Hayes, G.R. Barriers to the Adoption and Use of Personal Health Record Systems. In Proceedings of the 2011 iConference, ACM, New York, NY, USA, 8-11 February 2011; pp. 363-370.
24. Raisinghani, M.S.; Young, E. Personal health records: Key adoption issues and implications for management. Int. J. Electron. Healthc. 2008, 4, 67-77. doi:10.1504/IJEH.2008.018921.
25. Huba, N.; Zhang, Y. Designing Patient-Centered Personal Health Records (PHRs): Health care professionals perspective on patient-generated data. J. Med. Syst. 2012, 36, 3893-3905. doi:10.1007/s10916-012-9861-z.
26. Huang, Z.; Lu, X.; Duan, H.; Zhao, C. Collaboration-based medical knowledge recommendation. Artif. Intell. Med. 2012, 55, 13-24. doi:10.1016/j.artmed.2011.10.002.
27. Johnson, J.D.; Case, D.O. Health Information Seeking; Peter Lang Publishing: New York, NY, USA, 2012.
28. Cline, R.J.; Haynes, K.M. Consumer health information seeking on the Internet: The state of the art. Health Educ. Res. 2001, 16, 671-692. doi:10.1093/her/16.6.671.
29. Niederdeppe, J.; Hornik, R.C.; Kelly, B.J.; Frosch, D.L.; Romantan, A.; Stevens, R.S.; Barg, F.K.; Weiner, J.L.; Schwartz, J.S. Examining the dimensions of cancer-related information seeking and scanning behavior. Health Commun. 2007, 22, 153-167. doi:10.1080/10410230701454189.
30. Powell, J.; Inglis, N.; Ronnie, J.; Large, S. The characteristics and motivations of online health information seekers: Cross-sectional survey and qualitative interview study. J. Med. Internet Res. 2011, 13. doi:10.2196/jmir.1600.
31. Eysenbach, G. Design and Evaluation of Consumer Health Information Web Sites. Consum. Health Inform. 2005. doi:10.1007/0-387-27652-1 4.
32. Eysenbach, G.; Köhler, C. How do consumers search for and appraise health information on the world wide web? Qualitative study using focus groups, usability tests, and in-depth interviews. Br. Med. J. 2002, 324, 573. doi:10.1136/bmj.324.7337.573.
33. Wilson, T.D. Information overload: Implications for healthcare services. Health Inf. J. 2001, 7, 112-117. doi:10.1177/146045820100700210.
34. Silberg, W.M.; Lundberg, G.D.; Musacchio, R.A. Assessing, controlling, and assuring the quality of medical information on the Internet. J. Am. Med. Assoc. 1997, 277, 1244-1245.
35. Pandolfini, C.; Impicciatore, P.; Bonati, M. Parents on the web: Risks for quality management of cough in children. Pediatrics 2000, 105, e11-e18.
36. Sonnenberg, F.A. Health information on the Internet: Opportunities and pitfalls. Arch. Internal Med. 1997, 157, 151. doi:10.1001/archinte.1997.00440230013002.
37. HON - Health on the Net Foundation. HONs Fourth Survey on the Use of the Internet for Medical & Health Purposes. Available online: http://www.hon.ch/Survey/ResumeApr99.html (accessed on 17 January 2014).
38. HON-Health on the Net Foundation. The HON Code of Conduct for Medical and HealthWeb Sites (HONcode). Available online: http://www.hon.ch/HONcode/Patients/Visitor/visitor.html (accessed on 24 January 2014).
39. Grossman, D.; Frieder, O. Information Retrieval: Algorithms and Heuristics (The Information Retrieval Series), 2nd ed.; Springer: Heidelberg, Germany, 2004.
40. Baldi, P.; Frasconi, P.; Smyth, P. Modelling the Internet and the Web: Probabilistic Methods and Algorithms; Wiley & Sons: East Grinstead, UK, 2003; Volume 1.
41. Salton, G.; Wong, A.; Yang, C.S. A vector space model for automatic indexing. Commun. ACM 1975, 18, 613-620.
42. Lovins, J.B. Development of a stemming algorithm. Mech. Transl. Comput. Linguist. 1968, 11, 22-31.
43. Porter, M. An algorithm for suffix stripping. Program 1980, 14, 130-137.
44. Ahmed, F.; Nürnberger, A.; Luca, E.W.D. Revised N-gram based automatic spelling correction tool to improve retrieval effectiveness. Res. J. Comput. Sci. Comput. Eng. Appl. (Polibits) 2009, 40, 39-48.
45. Munir, K.; others. Ontology Assisted Query Reformulation Using the Semantic and Assertion Capabilities of OWL-DL Ontologies. In Proceedings of the 2008 International Symposuim on DB Engineering Applications (IDEAS '08), ACM, New York, NY, USA, 2008, pp. 81-90.
46. Qiu, Y.; Frei, H.P. Concept Based Query Expansion. In Proceedings of the 16th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '93), ACM, New York, NY, USA, 1993; pp. 160-169.
47. Resnick, P.; Varian, H. Recommender systems. Commun. ACM 1997, 40, 56-58.
48. Felfernig, A.; Jeran, M.; Ninaus, G.; Reinfrank, F.; Reiterer, S. Toward the Next Generation of Recommender Systems: Applications and Research Challenges. In Multimedia Services in Intelligent Environments; Springer: Heidelberg, Germany, 2013; pp. 81-98.
49. Eysenbach, G.; Jadad, A.R. Evidence-based patient choice and consumer health informatics in the Internet age. J. Med. Internet Res. 2001, 3, e19, doi:10.2196/jmir.3.2.e19.
50. Zhang, Y. Contextualizing Consumer Health Information Searching: An Analysis of Questions in a Social Q&A Community. In Proceedings of the 1st ACM International Health Informatics Symposium (IHI '10), ACM, New York, NY, USA, 11-12 November 2010; pp. 210-219.
51. Wendel, S.; Dellaert, B.G.; Ronteltap, A.; van Trijp, H.C. Consumers intention to use health recommendation systems to receive personalized nutrition advice. BMC Health Serv. Res. 2013, 13, 126, doi:10.1186/1472-6963-13-126.
52. Fernandez-Luque, L.; Karlsen, R.; Vognild, L.K. Challenges and opportunities of using recommender systems for personalized health education. Stud. Health Technol. Inform. 2009, 150, 903-907. doi:10.3233/978-1-60750-044-5-903.
53. Fernandez-Luque, L.; Karlsen, R.; Melton, G.B. HealthTrust: A social network approach for retrieving online health videos. J. Med. Internet Res. 2012, 14, e22, doi:10.2196/jmir.1985.
54. Morrell, T.G.; Kerschberg, L. Personal Health Explorer: A Semantic Health Recommendation System. In Proceedings of the 2013 IEEE 29th International Conference on Data Engineering Workshops (ICDEW), Brisbane, Australia, 8-11 April 2013; pp. 55-59.
55. Rivero-Rodriguez, A.; Konstantinidis, S.; Sanchez-Bocanegra, C.; Fernandez-Luque, L. A Health Information Recommender System: Enriching YouTube Health Videos with Medline Plus Information by the use of SnomedCT Terms. In Proceedings of the 2013 IEEE 26th International Symposium on Computer-Based Medical Systems (CBMS), Porto, Portugal, 20-22 June 2013; pp. 257-261.
56. Wiesner, M.; Pfeifer, D. Adapting Recommender Systems to the Requirements of Personal Health Record Systems. In Proceedings of the 1st ACM International Health Informatics Symposium (IHI '10), ACM, New York, NY, USA, 11-12 November 2010; pp. 410-414.
57. Wikimedia Foundation Inc Encyclopedia online. Wikipedia: The Free Encyclopedia. Available online: http://en.wikipedia.org/wiki/Wikipedia (accessed on 30 January 2014).
58. Wiesner, M.; Pfeifer, D.; Yilmaz, A. Satisfying Health Information Needs: A German Health Exhibition Example. In Proceedings of the 25th International Symposium on IEEE Computer- Based Medical Systems (CBMS), Rome, Italy, 20-22 June 2012; pp. 1-4.
59. Farrell, R.G.; Danis, C.M.; Ramakrishnan, S.; Kellogg, W.A. Intrapersonal Retrospective Recommendation: Lifestyle Change Recommendations Using Stable Patterns of Personal Behavior. In Proceedings of the First International Workshop on Recommendation Technologies for Lifestyle Change (LIFESTYLE 2012), Dublin, Ireland, 13 September 2012; p. 24.
60. Herlocker, J.; Konstan, J.; Terveen, L.; Riedl, J. Evaluating collaborative filtering recommender systems. ACM Trans. Inf. Syst. (TOIS) 2004, 22, 5-53.
61. Chomutare, T.; Arsand, E.; Hartvigsen, G. Mobile peer support in diabetes. Stud. Health Technol. Inform. 2011, 169, 48-52.
62. Ghorai, K.; Saha, S.; Bakshi, A.; Mahanti, A.; Ray, P. An Mhealth Recommender for Smoking Cessation Using Case Based Reasoning. In Proceedings of the 46th Hawaii International Conference on System Sciences (HICSS), Wailea, HI, USA, 7-10 January 2013; pp. 2695-2704.
63. Sanderson, M. Test Collection Based Evaluation of Information Retrieval Systems; Now Publishers, Inc.: Delft, The Netherlands, 2010.
64. Robertson, S.; Hancock-Beaulieu, M. On the evaluation of IR systems. Inform. Process. Manag. 1992, 28, 457-466. doi:10.1016/0306-4573(92)90004-J.
65. Hripcsak, G.; Rothschild, A.S. Agreement, the f-measure, and reliability in information retrieval. J. Am. Med. Inform. Asso. 2005, 12, 296-298. doi:10.1197/jamia.M1733.
66. Kandula, S.; Zeng-Treitler, Q. Creating a Gold Standard for the Readability Measurement of Health Texts. In Proceedings of the AMIA Annual Symposium Proceedings, Washington, DC, USA, 8-12 November 2008; Volume 2008, p. 353.
67. Sowa, J.F. Principles of Semantic Networks: Explorations in the Representation of Knowledge; Morgan Kaufmann Publishers: San Mateo, CA, USA, 1991.
68. Princeton University Cognitive Science Laboratory. Wordnet 3.0, A Lexical Database for the English Language. Available online: http://wordnet.princeton.edu/ (accessed on 9 January 2014).
69. Hamp, B.; Feldweg, H. Germanet a Lexical Semantic Net for German. In Proceedings of the ACL Workshop Automatic Information Extraction and Building of Lexical Semantic Resources for NLP Applications, Madrid, Spain, 1997; pp. 9-15.
70. Bizer, C.; Lehmann, J.; Kobilarov, G.; Auer, S.; Becker, C.; Cyganiak, R.; Hellmann, S. DBpedia- A crystallization point for the Web of Data. Web Seman.: Sci. Serv. Agents World Wide Web 2009, 7, 154-165. doi:10.1016/j.websem.2009.07.002.
71. International Health Terminology Standards Development Organisation (IHTSDO). Snomed ct. Available online: http://www.ihtsdo.org/snomed-ct/ (accessed on 16 January 2014).
72. Medische Informatiekunde, 6500 HB Nijmegen. Open Galen. Available online: http://www.opengalen.org/ (accessed on 16 January 2014).
73. U.S. National Library of Medicine National Institutes of Health. Unified Medical Language System. Available online: http://www.nlm.nih.gov/research/umls/ (accessed on 16 January 2014).
74. Joachims, T. Text Categorization with Support Vector Machines: Learning with Many Relevant Features; Springer: Heidelberg, Germany, 1998.
75. Tan, P.N.; Steinbach, M.; Kumar, V. Introduction to Data Mining, 1st ed.; Addison-Wesley Longman Publishing Co., Inc.: Boston, MA, USA, 2005.