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            <title xml:lang="en">e-Health: Data Integration, Data Mining, and                                    Knowledge Management in Health Informatics</title>
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            <idno type="halRefHtml">&lt;i&gt;10th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society (I3E)&lt;/i&gt;, Nov 2010, Buenos Aires, Argentina. pp.1-1, &lt;a target="_blank" href="https://dx.doi.org/10.1007/978-3-642-16283-1_1"&gt;&amp;#x27E8;10.1007/978-3-642-16283-1_1&amp;#x27E9;&lt;/a&gt;</idno>
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                <title xml:lang="en">e-Health: Data Integration, Data Mining, and                                    Knowledge Management in Health Informatics</title>
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                  <date type="start">2010-11-03</date>
                  <date type="end">2010-11-05</date>
                  <settlement>Buenos Aires</settlement>
                  <country key="AR">Argentina</country>
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                <editor>Wojciech Cellary; Elsa Estevez</editor>
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              <p>In last few decades, with the advent of database                            systems and networking technologies, a huge volume of health data and                            valuable medical knowledge have been electronically available,                            accessible and processible, especially over the virtual cyberspace - the                            Web, even from a remote corner in the world. Nowadays the wide                            deployment of Hospital Information Management Systems (HIMS) and Web                            based clinical or medical systems, for example, the Medical Director, a                            generic GP clinical system, have made it possible to record, disseminate                            and implement the health information and clinical practices easily and                            globally. And health care and medical service is becoming more                            data-intensive and evidence-based since electronic health records are                            used to track individuals' and communities' health information                            (particularly changes). These substantially motivate and advance the                            emergence and the progress of data-centric health data and knowledge                            management research and practice, for example, Health Informatics. In                            this presentation, we will introduce several case studies and research                            projects to address the challenges encountered in health service. These                            include data exchange and health service Integration in health                            information systems, health information visualisation, data mining and                            data analyse for patient care management. We will then introduce a                            framework of data integration, knowledge management and user behaviour                            modelling for complementing and improving existing health care and                            service systems.</p>
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