Artificial Intelligence-Driven Oncology Clinical Decision Support System for Multidisciplinary Teams.
Kyoung-A LeeSeon Heui LeePublished in: Sensors (Basel, Switzerland) (2020)
Watson for Oncology (WfO) is a clinical decision support system driven by artificial intelligence. In Korea, WfO is used by multidisciplinary teams (MDTs) caring for cancer patients. This study aimed to investigate the effect of WfO use on hospital satisfaction and perception among patients cared for by MDTs. This was a descriptive study that used a written survey to gather information from cancer patients at a hospital in Korea. The rate of positive change in patient perception after treatment was 86.8% in the MDT-WfO group and 71.2% in the MDT group. In terms of easily understandable explanations, the MDT-WfO (9.53 points) group reported higher satisfaction than the MDT group (9.24 points). Younger patients in the MDT-WfO group showed high levels of satisfaction and reliability of treatment. When WfO was used, the probability of positive change in patient perception of the hospital was 2.53 times higher than when WfO was not used. With a one-point increase in overall satisfaction, the probability of positive change in patient perception of the hospital increased 1.97 times. Therefore, if WfO is used appropriately in the medical field, it may enhance patient satisfaction and change patient perception positively.
Keyphrases
- artificial intelligence
- clinical decision support
- machine learning
- case report
- healthcare
- big data
- deep learning
- patient satisfaction
- electronic health record
- palliative care
- adverse drug
- end stage renal disease
- acute care
- newly diagnosed
- ejection fraction
- quality improvement
- peritoneal dialysis
- combination therapy
- prognostic factors
- social media
- health information
- squamous cell