The Impact of COVID-19 Pandemic on the Learning Outcomes of Medical Students in Taiwan: A Two-Year Prospective Cohort Study of OSCE Performance.

BACKGROUND/AIMS: To avoid the negative impacts of the COVID-19 pandemic on clinical clerkship, supplemental teachings such as digital materials in the scenario-based distal simulations were implemented. This study utilized the OSCE (objective-structured clinical examination) to evaluate the impact of COVID-19 pandemic on the learning outcome of medical students from the regular group (class of 2020) and pandemic-impacted group (class of 2021). METHODS: All medical students serially took, firstly, the mock-OSCE, secondly, the mock-OSCE, and the national OSCE. Then, the serial OSCE scores were compared between groups. RESULTS: Although with similar scores in the first mock OSCE, the regular group (n = 78) had a higher average score in the national OSCE than the pandemic-impacted group (n = 80) (872.18 vs. 834.96, p = 0.003). In terms of improvement, the performances of the regular group were also better than the pandemic-impacted group between the second mock OSCE and the national OSCE (79.10 vs. 38.14, p = 0.014), and between the second mock OSCE and the national OSCE (125.11 vs. 77.52, p = 0.003). While separating distinct genres, the regular group had more of a score increment in standardized patient-based stations between the second mock OSCE and the national OSCE (regular vs. pandemic-impacted: 57.03 vs. 18.95, p = 0.003), as well as between the first mock OSCE and the national OSCE (75.97 vs. 26.36, p < 0.001), but there was no significant difference among the skill-based stations. In particular, the scores of the emergency medicine associated station in the national OSCE of the pandemic-impacted group was lower. CONCLUSIONS: Our study implies that the pandemic significantly hampered the learning outcomes of final year medical students in their clinical participation. Especially facing the COVID-19 pandemic, more supplemental teachings are needed to compensate the decreasing emergency medicine exposure.

Experiences With Internet Triaging of 9498 Outpatients Daily at the Largest Public Hospital in Taiwan During the COVID-19 Pandemic: Observational Study.

BACKGROUND: During pandemics, acquiring outpatients' travel, occupation, contact, and cluster histories is one of the most important measures in assessing the disease risk among incoming patients. Previous means of acquiring this information in the examination room have been insufficient in preventing disease spread. OBJECTIVE: This study aimed to demonstrate the deployment of an automatic system to triage outpatients over the internet. METHODS: An automatic system was incorporated in the existing web-based appointment system of the hospital and deployed along with its on-site counterpart. Automatic queries to the virtual private network travel and contact history database with each patient's national ID number were made for each attempt to acquire the patient's travel and contact histories. Patients with relevant histories were denied registration or entry. Text messages were sent to patients without a relevant history for an expedited route of entry if applicable. RESULTS: A total of 127,857 visits were recorded. Among all visits, 91,195 were registered on the internet. In total, 71,816 of them generated text messages for an expedited route of entry. Furthermore, 65 patients had relevant histories, as revealed by the virtual private network database, and were denied registration or entry. CONCLUSIONS: An automatic triage system to acquire outpatients' relevant travel and contact histories was deployed rapidly in one of the largest academic medical centers in Taiwan. The updated system successfully denied patients with relevant travel or contact histories entry to the hospital, thus preventing long lines outside the hospital. Further efforts could be made to integrate the system with the electronic medical record system.

Where to buy face masks? Survey of applications using Taiwan's open data in the time of coronavirus disease 2019.

BACKGROUND: The coronavirus disease 2019 (COVID-19) had spread rapidly since late December 2019. Personal protective equipment was essential to prevent transmission. Owing to shortage of face masks, Taiwan government began to implement quasi rationing on February 6, 2020, by allowing each resident to purchase two masks in seven days. Taiwan National Health Insurance Administration offered online data with real-time updates on face mask availability in all contracted pharmacies and selected local health centers. Based on the open data, numerous software applications quickly emerged to assist the public in finding sales locations efficiently. METHODS: Up until March 15, 2020, the Public Digital Innovation Space of Taiwan government had recorded 134 software applications of face mask availability, and 24 software applications were excluded due to defect, duplicate, and unavailability. These applications were analyzed according to platform, developer type, and display mode. RESULTS: Of the 110 valid software applications, 67 (60.9%) applications were deployed on websites, followed by 21 (19.1%) on social networking sites, 19 (17.3%) as mobile applications, and 3 (2.7%) in other modes. Nearly two thirds (n = 70) of applications were developed by individuals, one third (n = 37) by commercial companies, only two applications by central and local governments, and one by a nongovernmental organization. With respect to the display mode, 47 (42.7%) applications adopted map-view only, 41 (37.3%) adopted table-view only, and 19 (17.3%) adopted both modes. Of the remaining three applications, two offered voice user interfaces and one used augmented reality. CONCLUSION: Taiwan's open data strategy facilitated rapid development of software applications for information dissemination to the public during the COVID-19 crisis. The transparency of real-time data could help alleviate the panic of the public. The collaborative contributions from the grassroots in disasters were priceless treasures.

Deployment of a computerized ward visitor registration system in coronavirus disease 2019 epidemic: Experiences of a large academic medical center in Taiwan.

BACKGROUND: Visitors to hospitalized patients during an epidemic might themselves be carriers and are therefore likely to spread the disease in wards. Although measures were taken to restrict hospital visits, traditional paper-based registration is insufficient to screen and monitor the numbers of visitors to a large hospital. METHODS: Throughout March 2020, during the coronavirus disease 2019 crisis, a computer system was deployed in the 2800-bed Taipei Veterans General Hospital (Taipei, Taiwan) to register, screen, and monitor inpatient visitors. This system comprised three parts: online registration form, entrance check-in interface, and registration database. The early utilization of this newly deployed system was then analyzed. RESULTS: A total of 22,336 visits were recorded between March 11, 2020, and March 31, 2020, with 1064 a day on average. Out of these visits, 18.1% (n = 4049) had made online reservations within 48 hours. On the other hand, of all 4941 online reservations, 18.1% (n = 892) were no-shows. In the last 12 days of the study period, eight prospective visitors were identified as ineligible by the computer system, and so their visits were denied. CONCLUSION: Using a computer system, the hospital was able to enforce restrictions on hospital visits. Although the online registration system had not been fully used yet in the early phase of adoption, its superiority from the standpoint of disease control should enable hospital managers to consider abolishing on-site visitor registration.