dc.contributor.author |
Berler, A |
en |
dc.contributor.author |
Pavlopoulos, S |
en |
dc.contributor.author |
Koutsouris, D |
en |
dc.date.accessioned |
2014-03-01T01:23:19Z |
|
dc.date.available |
2014-03-01T01:23:19Z |
|
dc.date.issued |
2005 |
en |
dc.identifier.issn |
1089-7771 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/16902 |
|
dc.subject |
Balanced scorecard (BSC) |
en |
dc.subject |
Business intelligence |
en |
dc.subject |
Health-care system performance management |
en |
dc.subject |
Key performance indicators (KPIs) |
en |
dc.subject |
Knowledge management (KM) |
en |
dc.subject |
Regional health-care authority |
en |
dc.subject.classification |
Computer Science, Information Systems |
en |
dc.subject.classification |
Computer Science, Interdisciplinary Applications |
en |
dc.subject.classification |
Mathematical & Computational Biology |
en |
dc.subject.classification |
Medical Informatics |
en |
dc.subject.other |
Competitive intelligence |
en |
dc.subject.other |
Data structures |
en |
dc.subject.other |
Decision making |
en |
dc.subject.other |
Health care |
en |
dc.subject.other |
Information management |
en |
dc.subject.other |
Information technology |
en |
dc.subject.other |
Management information systems |
en |
dc.subject.other |
Balanced scorecard (BSC) |
en |
dc.subject.other |
Health care system performance management |
en |
dc.subject.other |
Key performance indicators (KPIs) |
en |
dc.subject.other |
Knowledge management (KM) |
en |
dc.subject.other |
Regional health care authority |
en |
dc.subject.other |
Knowledge based systems |
en |
dc.subject.other |
article |
en |
dc.subject.other |
Greece |
en |
dc.subject.other |
health care planning |
en |
dc.subject.other |
health care quality |
en |
dc.subject.other |
information system |
en |
dc.subject.other |
Greece |
en |
dc.subject.other |
Information Management |
en |
dc.subject.other |
Quality Indicators, Health Care |
en |
dc.subject.other |
Regional Health Planning |
en |
dc.title |
Using key performance indicators as knowledge-management tools at a regional health-care authority level |
en |
heal.type |
journalArticle |
en |
heal.identifier.primary |
10.1109/TITB.2005.847196 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1109/TITB.2005.847196 |
en |
heal.language |
English |
en |
heal.publicationDate |
2005 |
en |
heal.abstract |
The advantages of the introduction of information and communication technologies in the complex health-care sector are already well-known and well-stated in the past. It is, nevertheless, paradoxical that although the medical community has embraced with satisfaction most of the technological discoveries allowing the improvement in patient care, this has not happened when talking about health-care informatics. Taking the above issue of concern, our work proposes an information model for knowledge management (KM) based upon the use of key performance indicators (KPIs) in health-care systems. Based upon the use of the balanced scorecard (BSC) framework (Kaplan/Norton) and quality assurance techniques in health care (Donabedian), this paper is proposing a patient journey centered approach that drives information flow at all levels of the day-to-day process of delivering effective and managed care, toward information assessment and knowledge discovery. In order to persuade health-care decision-makers to assess the added value of KM tools, those should be used to propose new performance measurement and performance management techniques at all levels of a health-care system. The proposed KPIs are forming a complete set of metrics that enable the performance management of a regional health-care system. In addition, the performance framework established is technically applied by the use of state-of-the-art KM tools such as data warehouses and business intelligence information systems. In that sense, the proposed infrastructure is, technologically speaking, an important KM tool that enables knowledge sharing amongst various health-care stakeholders and between different health-care groups. The use of BSC is an enabling framework toward a KM strategy in health care. © 2005 IEEE. |
en |
heal.publisher |
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
en |
heal.journalName |
IEEE Transactions on Information Technology in Biomedicine |
en |
dc.identifier.doi |
10.1109/TITB.2005.847196 |
en |
dc.identifier.isi |
ISI:000229649200005 |
en |
dc.identifier.volume |
9 |
en |
dc.identifier.issue |
2 |
en |
dc.identifier.spage |
184 |
en |
dc.identifier.epage |
192 |
en |