Other publication
Contribution Data Mining in Promoting Public Health Care Reputation: Finding Harm Causing Factors in Patient Safety Records
Authors: Olli Sjöblom, Ulla-Mari Kinnunen, Eija Kivekäs, Sari Palojoki, Kaija Saranto
Editors: Hongxiu Li, Reima Suomi, Hamed Ahmadinia, Ágústa Pálsdóttir, Roland Trill
Conference name: International Conference on Well-Being in the Information Society
Publishing place: Turku
Publication year: 2018
Book title : Proceedings of the Seventh International Conference on Well-Being in the Information Society: Fighting Inequalities (WIS 2018)
Series title: TUCS Lecture Notes
Number in series: 28
First page : 83
Last page: 86
ISBN: 978-952-12-3726-3
ISSN: 1797-8823
Web address : http://urn.fi/URN:ISBN:978-952-12-3727-0
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/35449155
Effective methods are needed to identify and manage risks in healthcare to improve patient safety and hence the reputation of health care. Analysing safety related records and learning from ‘touch and go’ situations as well as accidents is one possible way of preventing hazardous conditions from occurring in healthcare, both public and private. The eventuality of an incident or an accident may markedly be reduced if the risks connected to it are efficiently diagnosed. This paper explores how a data mining technique can be applied to healthcare in order to discover harm causing factors in vast amounts of patient safety records.
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