Related papers: Discovering adoption barriers of Clinical Decision Support Systems in primary health care sector

Discovering adoption barriers of Clinical Decision Support Systems in primary health care sector

URL: http://arxiv.org/abs/2207.11713v1
Date: Sun, 24 Jul 2022 10:49:35 GMT
Title: Discovering adoption barriers of Clinical Decision Support Systems in primary health care sector
Authors: Soliman S M Aljarboa and Shah J Miah
Abstract summary: This paper focuses on discovering obstacles that may contribute to the problems surrounding CDSS adoption. Thirty general practitioners were interviewed from different primary health centers in Saudi Arabia. While the outcome confirms that there are obstacles that affect the aspects, such as time risk, quality of the system used, slow Internet speed, user interface, lack of training, high costs, patient satisfaction, multiple systems used, technical support, computer skills, lack of flexibility, system update, professional skills and knowledge, computer efficiency and quality and accuracy of data.
Score: 0.0
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Abstract: Adopting a good health information system (HIS) is essential for providing high-quality healthcare. With rapid advances in technology in the healthcare industry in recent years, healthcare providers seek effective options to deal with numerous diseases and a growing number of patients, adopting advanced HIS such as for clinical decision support. While the clinical decision support systems (CDSS) can help medical personnel make better decisions, they may bring negative results due to a lack of understanding of the elements that influence GP's adoption of CDSS. This paper focuses on discovering obstacles that may contribute to the problems surrounding CDSS adoption. Thirty general practitioners were interviewed from different primary health centers in Saudi Arabia in order to determine the challenges and obstacles in the sector. While the outcome confirms that there are obstacles that affect the aspects, such as time risk, quality of the system used, slow Internet speed, user interface, lack of training, high costs, patient satisfaction, multiple systems used, technical support, computer skills, lack of flexibility, system update, professional skills and knowledge, computer efficiency and quality and accuracy of data.

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