DC FieldValueLanguage
dc.contributor.authorLappa, Evagelia-
dc.contributor.authorGiannakopoulos, Georgios-
dc.date.accessioned2023-10-16T13:03:35Z-
dc.date.available2023-10-16T13:03:35Z-
dc.date.issued2013-02-
dc.identifier.otherwMwcybkAAAAJ:2osOgNQ5qMEC-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/442-
dc.description.abstractAlthough efforts for the introduction of ICT in public health care system had begun already in the mid’ of 80s, the results have not yet reached the desired expectations. In order to meet the requirements of the future health care system, in the age of the “smart machine”, the continuous investment in IT without a clear return is unsustainable. Electronic health records are based on the coded data descriptions. Well known data coding schemes e.g. ICD-10, ICPC, GMDN family, have been successfully translated into Greek however less than a third of doctors use these schemes in the clinical IT assessment. Cost continues to be the biggest barrier in IT adoption; some current IT solutions are not usable, particularly for smaller public hospitals in Greece. Therefore, the cost of transforming paper-based data to e-patients’ records does not allow doctors to share valuable information. In the Greek health information platform, a different approach of data exchange, across and outside the public hospitals should be implemented. The hospital should involve the Health Information scientists to assist the doctors in accessing and managing clinical information. The sharing of medical information should ensure that all core patient data conform to the related rules of health information resources management, and are based on international health coding and classification systems. The Health Information management education and training on ICT, must be achieved and maintained. The health information scientists should be educated and prepared for advanced clinical applications, and should use as a tool the evidence-based practice, in order to provide secure access to data to those people that they “need to know”.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofProcedia-social and behavioral sciencesen_US
dc.sourceProcedia-Social and Behavioral Sciences 73, 246-250, 2013-
dc.subjectHealth information managementen_US
dc.subjectDRGsen_US
dc.subjectICD-10en_US
dc.subjecte-codesen_US
dc.titleE-health information management according types of DRGs and ICD classification systems: Greek perspectives and initiativesen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.sbspro.2013.02.048en_US
dc.relation.deptDepartment of Archival, Library and Information Studiesen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.relation.volume73en_US
dc.identifier.spage246en_US
dc.identifier.epage250en_US
dc.linkhttps://www.sciencedirect.com/science/article/pii/S1877042813003418en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.subject.fieldSocial Sciencesen_US
dc.journalsOpen Accessen_US
dc.countryGreeceen_US
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.grantfulltextnone-
crisitem.author.deptDepartment of Archival, Library and Information Studies-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.orcid0000-0002-1659-3504-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
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