Knowledge-driven delivery of home care services

被引:0
作者
Montserrat Batet
David Isern
Lucas Marin
Sergio Martínez
Antonio Moreno
David Sánchez
Aida Valls
Karina Gibert
机构
[1] Universitat Rovira i Virgili,Departament d’Enginyeria Informàtica i Matemàtiques, Intelligent Technologies for Advanced Knowledge Acquisition (ITAKA) research group
[2] Universitat Politècnica de Catalunya,Department of Statistics and Operational Research
来源
Journal of Intelligent Information Systems | 2012年 / 38卷
关键词
Formal intervention plans; Home care; Ontologies; Personalized healthcare delivery; User profile tailoring;
D O I
暂无
中图分类号
学科分类号
摘要
Home Care (HC) assistance is emerging as an effective and efficient alternative to institutionalized care, especially for the case of senior patients that present multiple co-morbidities and require life long treatments under continuous supervision. The care of such patients requires the definition of specially tailored treatments and their delivery involves the coordination of a team of professionals from different institutions, requiring the management of many kinds of knowledge (medical, organizational, social and procedural). The K4Care project aims to assist the HC of elderly patients by proposing a standard HC model and implementing it in a knowledge-driven e-health platform aimed to support the provision of HC services. This paper focuses on two knowledge-based personalization aspects incorporated in the platform that aim to overcome the difficulties of HC delivery. The first one is the assistance to medical practitioners in the process of defining a customized treatment adjusted to the medical and social conditions of a particular patient in order to consider multiple co-morbidities. The second one is the possibility of tailoring the profiles of the care professionals according to the medical and organizational daily requirements in order to allow a flexible care delivery. Those two aspects, guided by the knowledge explicitly represented in the platform, play a crucial role in the medical and social acceptance of this kind of e-health systems. The paper also includes a real case study designed and tested by healthcare professionals and includes encouraging results from the test of the platform in a real health care environment in the city of Pollenza (Italy).
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页码:95 / 130
页数:35
相关论文
共 66 条
[1]  
Anand SS(2007)Generating semantically enriched user profiles for web personalization ACM Transactions on Internet Technology 7 22-48
[2]  
Kearney P(2008)Using ontologies and vocabularies for dynamic linking IEEE Internet Computing 12 32-39
[3]  
Shapcott M(2010)Ontology driven semantic profiling and retrieval in medical information systems Web Semantics: Science, Services and Agents on the World Wide Web 294 716-724
[4]  
Bechhofer S(2005)Clinical practice guidelines and quality of care for older patients with multiple comorbid diseases: Implications for pay for performance Journal of the American Medical Association 77 589-601
[5]  
Yesilada Y(2008)A methodology for shifting the focus of e-health support design onto user needs: A case in the homecare field International Journal of Medical Informatics 31 870-885
[6]  
Stevens R(2009)Ontology tailoring in the semantic grid Computer Standards & Interfaces 102 464-473
[7]  
Jupp S(2009)From practice guidelines to clinical decision support: Closing the loop Journal of Royal Society of Medicine 16 68-71
[8]  
Horan B(2008)Knowledge engineering for building an actor profile ontology for home-care Acta Informatica Medica 77 787-808
[9]  
Bhatt M(2008)Computer-based execution of clinical guidelines: A review International Journal of Medical Informatics 179 2794-2808
[10]  
Rahayu W(2009)Learning and inferencing in user ontology for personalized semantic web search Information Sciences 319 1547-1550