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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