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KMID : 1149020180200020001
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Journal of Korean Society of Computed Tomographic Technology
2018 Volume.20 No. 2 p.1 ~ p.5
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A Study on the Development of Appointment Algorithm of CT With Big Data using AI (Artificial Intelligence)
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Jeon Sang-Ho
Yang Sung-Yeul
Sin In-Bum
Son Dae-Mok
Kwon Tae-Han
Choi Byung-Ho
Kim Seong-Sik
Lee Yong-Woong
Choi Hwan-Young
Park Tae-Hwan
Moon Chag-Beom
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Abstract
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Purpose: The current appointment system for taking computed tomography (CT) was introduced in mid-2000 and various actions for the system improvement have been made to satisfy both hospital employees and patients. However, the current appointment system cannot keep up with the rapid change of medical environment, the enhanced consciousness level of patients, and the growing number of patients. Hereupon, a new algorism which will increase satisfaction of both hospital employees and patients was developed for more accurate and more safe medical examinations.
Material and methods: The established appointments at each department and appointment center are set to be every 30 minutes starting from 9:00 AM. In addition, appointments for the same day examination appointment can be made up to two appointments through phone calls or the on-line by same day examination appointment program from each department and appointment center. The examination time differs depending on the hospital system and inspection protocol. I want to develop a new program with the PERT CPM method based on the analysis using Visual Studio 2017.
Result: Patients can be examined within at least 2 hours after each treatment and an efficient management of appointment schedule will be achieved by decreased disruption in the schedule caused by canceling appointments. As a result, the appointment rate will be increased by 20~30% and the system that allows priority for the examinations backed up by the examination equipment.
Conclusion: The communication between the treatment department and the CT department will be simplified, the job satisfaction at both departments will be improved, and the satisfaction of patients and hospital employees will be improved by the real time feedback.
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KEYWORD
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Big data, Quality assurance, Efficiency
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