Open AccessData Mining technology as a tool for supporting analytical decision making process in Health Information Management System (HIMS)
Author(s) -
Gbenga Femi Asere,
Dung Emmanuel Botson
Publication year - 2021
Publication title -
american journal of agricultural science, engineering, and technology
Language(s) - English
Resource type - Journals
eISSN - 2164-0920
pISSN - 2158-8104
DOI - 10.54536/ajaset.v5i2.98
Subject(s) - decision support system , health care , process (computing) , information system , process management , knowledge management , computer science , quality (philosophy) , management information systems , productivity , information technology , dissemination , data warehouse , data science , business , data mining , engineering , telecommunications , philosophy , macroeconomics , epistemology , economics , economic growth , electrical engineering , operating system
Wide spread use of information system in the delivery of managed healthcare system and the challenges of identifying and disseminating relevant healthcare information, complex and diverse data and knowledge forms and tasks coupled with the prevalence of legacy systems require automated approaches for effective and efficient utilization of massive amount of data to support in strategic planning and decision-making and assist the strategic management mechanisms. Despite the fact that data mining is progressively used in information systems as a technology to support analytical decision making, it is however still barely used in hospital information system to support analytical decision making process. Hence, this paper presents the usefulness of data mining technology in Hospital Information Management System (HIMS). Data mining technology offered capabilities to increase the productivity of medical personnel, analyze care outcomes, lower healthcare costs, improve healthcare quality by using fast and better clinical decision making and generally assist the strategic management mechanisms.