Abstract
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.
Highlights
Treatment options for cancer patients are becoming more diverse, and treatment guidelines are changing more rapidly; medical staff need to possess more comprehensive medical information
Multidisciplinary teams (MDTs) have the advantage of positively influencing treatment methods for patients, enhancing patient satisfaction, and decreasing the burden of the medical staff, it has been reported that they are inadequate in applying updated medical findings [4,5,6]
Out of the 285 patients who participated in this study, 129 (45.3%) received treatment from an MDT using Watson for Oncology (MDT-WfO) and 156 (54.7%) received treatment from a general
Summary
Treatment options for cancer patients are becoming more diverse, and treatment guidelines are changing more rapidly; medical staff need to possess more comprehensive medical information. As the treatment methods for tumor patients become more diverse and complex, objective evidence and opinions of medical professionals in various fields are necessary to determine the most appropriate treatment methods. Multidisciplinary teams (MDTs), wherein medical professionals from various fields gather to determine the treatment methods for individual tumor patients, have been used in earnest since the 1980s to improve the quality of patient treatment [3]. MDTs have the advantage of positively influencing treatment methods for patients, enhancing patient satisfaction, and decreasing the burden of the medical staff, it has been reported that they are inadequate in applying updated medical findings [4,5,6]. Clinical decision support systems (CDSSs) have been developed to solve this problem.
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