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NCKU develops digitized TOCC to ease the spread of COVID-19

April 20, 2020
 

 

National Cheng Kung University (NCKU) in Taiwan has recently set up a “smart” healthcare clinical decision making assistive system, improving the testing efficiency up to 5 to 6 times. Originally it took two and half hours for a high risk patients from testing to decision making, which costs labor force and increases risk of cross-infection. However, with the smart system it cost only less than 30 minutes.
 
One part of the system includes improvement of the way to ask about TOCC history (Travel, Occupation, Contact, Cluster) of patients. In traditional way it was all conducted on paper and required person to person conversation, then digitized data by hand, which could possibly infect hospital staff and also make the doctor unable to diagnose quickly. In addition, doctors are harder to get the quickly changing  information of pandemic without help of technology. 
 
To solve the problems, NCKU Hospital expects to lower the risk of cross-infection and improve the information sharing efficiency. Therefore, the hospital decided to modify the testing station based on medical and information sciences. The hospital started to use tablets with digitized questionnaire designed by Dr. Po-Lin Chen, Dr. Nan-Yao Lee, and Ching Wan from Infection Control Center, to replace the paper work that brings higher workload with higher risk of infection for the nurses. The public could input their travel, occupation, possible contact, and cluster history by themselves on the tablets to shorten their stay at the testing station. Once the information were collected, it will upload directly to HIS system. By applying the smart AI clinical decision-making system, the clinicians could check and make the precise clinical decision right away.
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