6533b852fe1ef96bd12ab8ea
RESEARCH PRODUCT
ULearn: Personalized Medical Learning on the Web for Patient Empowerment
Biagio LenzittiMarco AlfanoDavide TaibiMarkus Helfertsubject
020205 medical informaticsComputer scienceProcess (engineering)media_common.quotation_subjectDistance educationHealth literacy02 engineering and technologyInformation technologyPatient empowerment; search as learning; e-health; Health literacy; Health seeking behaviorUser requirements documentEducationWorld Wide WebDistance education03 medical and health sciences0302 clinical medicineResource (project management)0202 electrical engineering electronic engineering information engineeringInformation retrieval030212 general & internal medicineComputer softwareEmpowermentmedia_commonSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniSettore INF/01 - Informaticabusiness.industryCommunicationEducational technologyInformation technologyPatient empowerment search as learning e-health Health literacy Health seeking behavior.World Wide WebEducational technologyHealthbusinessdescription
Abstract. Health literacy constitutes an important step towards patient empowerment and the Web is presently the biggest repository of medical information and, thus, the biggest medical resource to be used in the learning process. However, at present web medical information is mainly accessed through generic search engines that do not take into account the user specific needs and starting knowledge and so are not able to support learning activities tailored to the specific user requirements. This work presents “ULearn” a meta engine that supports access, understanding and learning on the Web in the medical domain based on specific user requirements and knowledge levels towards what we call “balanced learning”. Balanced learning allows users to perform learning activities based on specific user requirements (understanding, deepinning, widening and exploring) towards his/her empowerment. We have designed and developed ULearn to suggest search keywords correlated to the different user requirements and we have carried out some preliminary experiments to evaluate the effectiveness of the provided information.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2019-11-16 |