Adaptive Information for Consumers of Healthcare

This chapter discusses the application of some of the technologies of the adaptive web to the problem of providing information for healthcare consumers. The particular issues relating to this application area are discussed, including the goals of the communication, typical content of a user model, and commonly used techniques. Two case studies are presented, and evaluation approaches considered.

[1]  B. Webber,et al.  Proceedings of the 18th Annual Symposium on Computer Applications in Medical Care , 1994 .

[2]  V. Strecher,et al.  The effects of computer-tailored smoking cessation messages in family practice settings. , 1994, The Journal of family practice.

[3]  Paul Brna,et al.  User Modeling 2005, 10th International Conference, UM 2005, Edinburgh, Scotland, UK, July 24-29, 2005, Proceedings , 2005, User Modeling.

[4]  Kathleen M Griffiths,et al.  Web-based Cognitive Behavior Therapy: Analysis of Site Usage and Changes in Depression and Anxiety Scores , 2002, Journal of medical Internet research.

[5]  J O Prochaska,et al.  Stages of change in the modification of problem behaviors. , 1992, Progress in Behavior Modification.

[6]  G. Young,et al.  Intersecting electronic decision support with user modelling in a web-based consumer decision aid for colorectal cancer screening , 2005 .

[7]  Cécile Paris,et al.  Delivering actionable information , 2004, Rev. d'Intelligence Artif..

[8]  A. Bandura.  Social Foundations of Thought and Action: A Social Cognitive Theory , 1985 .

[9]  Cristina Gena,et al.  Usability Engineering for the Adaptive Web , 2007, The Adaptive Web.

[10]  Alberto Riva,et al.  Web-based telemedicine systems for home-care: technical issues and experiences , 2001, Comput. Methods Programs Biomed..

[11]  G Kahn,et al.  Computer-based patient education: a progress report. , 1993, M.D. computing : computers in medical practice.

[12]  L G Mercuri,et al.  Anxiety, information, interpersonal impacts, and adjustment to a stressful health care situation. , 1983, Journal of personality and social psychology.

[13]  Fiorella de Rosis,et al.  The dynamic generation of hypertext presentations of medical guidelines , 1998, New Rev. Hypermedia Multim..

[14]  Steven K. Feiner,et al.  Automating the generation of coordinated multimedia explanations , 1991, Computer.

[15]  W Pratt,et al.  Physician's information customizer (PIC): using a shareable user model to filter the medical literature. , 1995, Medinfo. MEDINFO.

[16]  V. Strecher,et al.  Improving dietary behavior: the effectiveness of tailored messages in primary care settings. , 1994, American journal of public health.

[17]  Cecile Paris,et al.  Task-Driven Information Presentation , 2003 .

[18]  T. Bickmore.  Relational agents : effecting change through human-computer relationships , 2003 .

[19]  Cristina Conati,et al.  Adaptive Content Presentation for the Web , 2007, The Adaptive Web.

[20]  John Powell,et al.  The WWW of the World Wide Web: Who, What, and Why? , 2002, Journal of medical Internet research.

[21]  Alison Cawsey,et al.  The Evaluation of a Personalised Health Information System for Patients with Cancer , 2000, User Modeling and User-Adapted Interaction.

[22]  Alessandro Micarelli,et al.  User Profiles for Personalized Information Access , 2007, The Adaptive Web.

[23]  Kim Binsted,et al.  Generating Personalised Patient Information Using the Medical Record , 1995, AIME.

[24]  Marshall Wr,et al.  The efficacy of personalized audiovisual patient-education materials. , 1984 .

[25]  Ross Wilkinson,et al.  Generating Personal Travel Guides - And Who Wants Them? , 2001, User Modeling.

[26]  Thomas Rist,et al.  Generating coherent presentations employing textual and visual material , 1995, Artificial Intelligence Review.

[27]  Celette Sugg Skinner,et al.  How effective is tailored print communication? , 1999, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.

[28]  R C Fisher,et al.  Patient education and compliance: a pharmacist's perspective. , 1992, Patient education and counseling.

[29]  Barbara Klug Redman.  Advances in Patient Education , 2004 .

[30]  F. Hecht.  Genetic counseling: Psychological dimensions , 1980 .

[31]  Kathleen R. Mc Keown,et al.  THE TEXT SYSTEM FOR NATURAL LANGUAGE GENERATION: AN OVERVIEW , 1982, ACL 1982.

[32]  J Pearson,et al.  Randomised trial of personalised computer based information for cancer patients , 1999, BMJ.

[33]  Noriaki Kuwahara,et al.  Cognitive prostheses and assisted communication , 2006, IUI '06.

[34]  Graeme Hirst,et al.  Authoring and Generating Health-Education Documents That Are Tailored to the Needs of the Individual Patient , 1997 .

[35]  Piotr J. Gmytrasiewicz,et al.  User Modeling 2001 , 2001, Lecture Notes in Computer Science.

[36]  N Colineau,et al.  Actionable information delivery , 2004 .

[37]  V. Strecher,et al.  Physicians' recommendations for mammography: do tailored messages make a difference? , 1994, American journal of public health.

[38]  Alfred Kobsa,et al.  The Adaptive Web, Methods and Strategies of Web Personalization , 2007, The Adaptive Web.

[39]  Luis G. Kun.  Telehealth and the global health network in the 21st century. From homecare to public health informatics , 2001, Comput. Methods Programs Biomed..

[40]  Silvana Quaglini,et al.  The HOMEY project : a telemedicine service for hypertensive patients , 2005 .

[41]  Kathleen McKeown,et al.  The Text System for Natural Language Generation: an Overview , 1982, ACL.

[42]  Mitsuru Ishizuka,et al.  Recognizing, Modeling, and Responding to Users' Affective States , 2005, User Modeling.

[43]  D. Wantland,et al.  The Effectiveness of Web-Based vs. Non-Web-Based Interventions: A Meta-Analysis of Behavioral Change Outcomes , 2004, Journal of medical Internet research.

[44]  E. Reiter,et al.  Acquiring Correct Knowledge for Natural Language Generation , 2011, J. Artif. Intell. Res..

[45]  W R Marshall,et al.  The efficacy of personalized audiovisual patient-education materials. , 1984, The Journal of family practice.

[46]  Ehud Reiter,et al.  Lessons from a failure: Generating tailored smoking cessation letters , 2003, Artif. Intell..

[47]  Shimei Pan,et al.  Language Generation for Multimedia Healthcare Briefings , 1997, ANLP.

[48]  Robert Dale,et al.  Building applied natural language generation systems , 1997, Natural Language Engineering.

[49]  Min-Yen Kan,et al.  Customization in a unified framework for summarizing medical literature , 2005, Artif. Intell. Medicine.

[50]  Steven K. Feiner,et al.  PERSIVAL, a system for personalized search and summarization over multimedia healthcare information , 2001, JCDL '01.

[51]  H. Christensen,et al.  Delivering interventions for depression by using the internet: randomised controlled trial , 2004, BMJ : British Medical Journal.

[52]  Ehud Reiter,et al.  Tailored Patient Information: Some Issues and Questions , 1997, ArXiv.

[53]  R. Grol,et al.  Personal paper: Beliefs and evidence in changing clinical practice , 1997 .

[54]  Toni Giorgino,et al.  Cognitive Human Factors for Telemedicine Systems , 2004, MedInfo.

[55]  K. McKeown,et al.  Discourse Strategies for Generating Natural-Language Text , 1985, Artif. Intell..

[56]  R. Schwarzer.  Social-Cognitive Factors in Changing Health-Related Behaviors , 2001 .

[57]  Peter Brusilovsky,et al.  User Models for Adaptive Hypermedia and Adaptive Educational Systems , 2007, The Adaptive Web.

[58]  Kathleen M Griffiths,et al.  The prevention of depression using the Internet , 2002, The Medical journal of Australia.

[59]  Alfred Kobsa,et al.  Privacy-Enhanced Web Personalization , 2007, The Adaptive Web.

[60]  Johanna D. Moore,et al.  Designing computer-based frameworks that facilitate doctor-patient collaboration , 1998, Artif. Intell. Medicine.

[61]  Shirley Large,et al.  Evaluating how users interact with NHS Direct Online , 2003 .

[62]  W. Uhlmann,et al.  Guidelines for Writing Letters to Patients , 2002, Journal of Genetic Counseling.