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Medical Information Portals: An Empirical Study of Personalized Search Mechanisms and Search Interfaces
Stockholms universitet, Samhällsvetenskapliga fakulteten, Institutionen för data- och systemvetenskap.
2006 (Engelska)Ingår i: Proceedings of the Eighth International Conference on Enterprise Information Systems: Databases and Information Systems Integration / [ed] Yannis Manolopoulos, Joaquim Filipe, Panos Constantopoulos, José Cordeiro:, 2006, Vol. 5, s. 95-102Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

The World Wide Web has become, since its creation, one of most popular tools for accessing and distributing medical information. The purpose of this paper is to provide indications about how users search for health-related information and how medical portals should be implemented to fit users’ needs. The results are mainly based on the evaluation of a prototype that tailors the retrieval of documents from the Web4health portal to users’ characteristics and information needs with the help of a user model. The evaluation is conducted through a user empirical study based on user observation and in-depth interviews.

Ort, förlag, år, upplaga, sidor
2006. Vol. 5, s. 95-102
Nyckelord [en]
Internet HCI, User Modelling, Information Retrieval, User Needs
Nationell ämneskategori
Data- och informationsvetenskap
Forskningsämne
data- och systemvetenskap
Identifikatorer
URN: urn:nbn:se:su:diva-37967ISBN: 972-8865-41-4 (tryckt)OAI: oai:DiVA.org:su-37967DiVA, id: diva2:305587
Konferens
8th International Conference on Enterprise Information Systems: Databases and Information Systems Integration, Paphos, Cyprus, May 23-27, 2006
Tillgänglig från: 2010-03-24 Skapad: 2010-03-24 Senast uppdaterad: 2018-09-13Bibliografiskt granskad
Ingår i avhandling
1. Using Language Technology to Mediate Medical Information on Health Portals: User Studies and Experiments
Öppna denna publikation i ny flik eller fönster >>Using Language Technology to Mediate Medical Information on Health Portals: User Studies and Experiments
2018 (Engelska)Doktorsavhandling, sammanläggning (Övrigt vetenskapligt)
Abstract [en]

The World Wide Web has revolutionized our lifestyle, our economies and services within health care. Health care services are no longer provided only at specialist centers and at scheduled hours, but also through online tools that give health care consumers access to medical information, health records, medical counselling and peer support. Such tools and applications are generally available on larger web sites or gateways called health portals. A large majority of online medical information consumers are laypeople (i.e. non experts) who appreciate the possibility to submit their information needs in their own native language. The information retrieval process where information requests from users and retrieved documents/answers are in different languages is called cross-language information retrieval (CLIR). 

Mental health is one of the medical areas where some online applications have been successfully deployed in order to help people by providing in-depth medical information, counseling and advice. Despite the fact that online health portals are considered priority e-health tools for improving mental health, there are no formal knowledge instruments such as knowledge patterns that explicitly support the development of online health portals in the field of psychology/psychotherapy. 

The goal of this research is to produce and evaluate a set of knowledge patterns, for the development and implementation of cross-lingual online health portals aimed at information seekers without medical expertise in the domain of psychology and psychotherapy. The knowledge patterns synthetize results of three research foundations: 1) User studies of portal interaction, based on interviews and observations about how users experience health information online and personalized search 2) Knowledge integration of existing language technology approaches, and 3) Experiments with language technology applications, in the field of cross-lingual information retrieval/question-answering. The target groups of this research are developers, researchers and health care providers, i.e. people who are responsible for mediating medical information on online health portals for users without medical expertise. 

The chosen research framework is design science, i.e. the science that focuses on the study, development and evaluation of artefacts (objects that help people solve a practical problem). Typical examples of artefacts in IT are algorithms, software solutions and databases, but also objects such as processes or knowledge patterns. The developed and evaluated artefact in this research is a set of knowledge patterns for online health portal development. 

The developed artefact contains fourteen knowledge patterns covering the three research foundations. Formative (structured workshops) and summative (online survey) evaluation of the artefact indicate that the knowledge patterns are useful, relevant and adoptable to a large extent, they also provide further directions for development of online mental health portals. Developing portals with multilingual support and tailored interfaces has the potential of helping larger groups of citizens to access relevant medical information.

Ort, förlag, år, upplaga, sidor
Stockholm: Department of Computer and Systems Sciences (DSV), Stockholm University, 2018. s. 168
Serie
Report Series / Department of Computer & Systems Sciences, ISSN 1101-8526 ; 18-009
Nyckelord
language technology, health portals, cross-language information retrieval, knowledge patterns
Nationell ämneskategori
Data- och informationsvetenskap
Forskningsämne
data- och systemvetenskap
Identifikatorer
urn:nbn:se:su:diva-159744 (URN)978-91-7797-422-2 (ISBN)978-91-7797-423-9 (ISBN)
Disputation
2018-10-29, L30 Nodhuset, Borgarfjordsgatan 12, Kista, 13:00 (Engelska)
Opponent
Handledare
Anmärkning

At the time of the doctoral defense, the following paper was unpublished and had a status as follows: Paper 7: Accepted.

Tillgänglig från: 2018-10-04 Skapad: 2018-09-12 Senast uppdaterad: 2018-10-04Bibliografiskt granskad

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Andrenucci, Andrea
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Institutionen för data- och systemvetenskap
Data- och informationsvetenskap

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