Journal Article

A Novel Framework for Extracting Knowledge Management from Business Intelligence Log Files in Hospitals

Serkan Turkeli, Fatih Ozaydin

2022

Overview

This paper proposes a framework to extract knowledge-management elements from business systems in healthcare organizations. According to results of in-depth interviews with experts in the field, a framework is defined, and software was developed to generate log files. Following the application of the Bag of Words (BoW) method on log files of 455 days for feature extraction, the k-means algorithm was used to cluster the feature vectors. The framework was tested with queries for confirmation. The developed framework successfully clustered the generated reports at operational, tactical, and strategic levels to extract knowledge-management elements. This study provides evidence for the knowledge-management pyramid by finding that the generated reports are reviewed mostly at the operational level, then tactical, and then the least at the strategic level. Our framework has the potential to be used not only in the health sector, but also in banking, insurance, and other businesses using business intelligence, especially in accordance with the organization’s goals at operational, tactical, and strategic levels of the knowledge-management pyramid.

• Publisher: MDPI AG
• Subject: Alcaloides / Alkoloidler / application / Biochemistry / Biology (General) / Biyokimya / Business intelligence software / business-intelligence systems / Case studies / CHEMISTRY / Chemistry (miscellaneous) / CHEMISTRY, MULTIDISCIPLINARY / clustering / Competitive advantage / Cultural differences / DECISION-MAKING / DESIGN / ENGINEERING / Engineering (General). Civil engineering (General) / Engineering (miscellaneous) / Engineering and Technology / Engineering, Computing & Technology (ENG) / ENGINEERING, MULTIDISCIPLINARY / Fizik / Fizik Bilimleri / FİZİK, UYGULAMALI / Genel Kimya / Genel Malzeme Bilimi / Genel Mühendislik / General Chemistry / General Engineering / General Materials Science / Geotechnical Engineering / Harita Mühendisliği-Geomatik / Health care industry / healthcare business intelligence / Hospitals / INNOVATION / İstatistiksel ve Doğrusal Olmayan Fizik / Kimya / Kimya (çeşitli) / KİMYA, MULTİDİSİPLİNER / Knowledge management / knowledge management; business-intelligence systems; clustering; text mining; healthcare business intelligence; application; log file; management pyramid / Knowledge sharing / Leadership / log file / Malzeme Bilimi / MALZEME BİLİMİ, ÇOKDİSİPLİNLİ / Malzeme Kimyası / management pyramid / Materials Chemistry / MATERIALS SCIENCE / MATERIALS SCIENCE, MULTIDISCIPLINARY / Media Technology / Medya Teknolojisi / Metaller ve Alaşımlar / Metals and Alloys / Mühendislik / Mühendislik (çeşitli) / Mühendislik ve Teknoloji / Mühendislik, Bilişim ve Teknoloji (ENG) / MÜHENDİSLİK, ÇOK DİSİPLİNLİ / Natural Sciences / Natural Sciences (SCI) / Physical Sciences / Physics / PHYSICS, APPLIED / Professionals / QC1-999 / QD1-999 / QH301-705.5 / R&D / Research & development / Social networks / Statistical and Nonlinear Physics / SUPPORT / SYSTEMS / T / TA1-2040 / Technology / Temel Bilimler / Temel Bilimler (SCI) / text mining / Virtual communities