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Background Coronavirus Disease 2019 (COVID-19) spread all over the world in 2020. In the face of the sudden pandemic, workforce mobilization has been of critical concern to medical institutions. During the pandemic, the public's behaviors of seeking medical assistance have also changed. Using the real-world data of a large medical center in Taiwan, this study aimed to analyze the fluctuations of outpatient visits among various departments and divisions in the early phase of the COVID-19 pandemic and to provide suggestions for staff allocation in similar future events. Methods Data of outpatient visits at Taipei Veterans General Hospital were obtained for analysis. The weekly fluctuations of outpatient visits among 36 departments or divisions were computed for the 8 weeks from February 3 to March 29, 2020, the early phase of the pandemic. The monthly data of outpatient visits by department and division in March 2020 were also extracted for comparison with those in March 2019. A simple regression equation was used to calculate the weekly trends. Results Average outpatient visits decreased by 26% in the 2 months following the outbreak. Among the 36 departments or divisions, ophthalmology, orthopedics, and cardiology underwent marked declines after the outbreak; the slopes of the simple regression equation were -110.8, -100.7, and -99.2, respectively. By contrast, transfusion medicine, toxicology, transplantation surgery, pediatric surgery, chest surgery, technical aid, and oncology were divisions less influenced. In the year-over-year comparison, infection was the only department or division with positive growth (20.5%), whereas all others exhibited negative growth. Conclusion In the future, we can fulfil the additional personnel needs during a pandemic by redeploying physicians from departments experiencing a reduced workload. Hospitals should also establish preparatory employee training programs to ensure that the reassigned personnel are adequately equipped to serve in their new positions.

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.

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.

Background: The adjusted clinical group (ACG) is a diagnosis-based case-mix adjustment system, which has been widely evaluated in several countries other than Taiwan. The aim of this study was to assess the performance of the ACG system on the National Health Insurance (NHI) population in Taiwan. Methods: We conducted longitudinal data analysis using the claims data of 1% of randomly sampled NHI enrollees from 2000 to 2004. The ACG software was used to assign each individual to 1 ACG category based on age, gender and aggregating diagnoses in each year from 2000 to 2004, respectively. The ACG distribution patterns and their relationships to expenditure were examined. Explanatory ability as measured by adjusted R 2 of the ACG system for same-year and next-year ambulatory and inpatient expenditure were examined by multivariate regression models for each year. Results: The quality of NHI claim data was satisfactory in that 98.1% of the population could be assigned to ACG categories. The population’s ACG patterns were substantially consistent but unequally distributed across the 5 years. Eighty percent of NHI expenditure were spent on people assigned to 21 ACGs. The explanatory abilities of individual’s ACG and its components with respect to the variance of same-year and next-year 99% truncated visits, ambulatory expenditure, inpatient expenditure, and total NHI expenditure were quite consistent across years and were superior to age and gender. The explanatory performance was better for ambulatory than inpatient expenditure and was comparable to the statistics demonstrated in other countries. Conclusion: The ACG system worked well for Taiwanese ambulatory visits and expenditure across years. Health care authorities can introduce the ACG system to quantify the population’s morbidity burdens and medical needs. [J Chin Med Assoc 2008;71(4):191–199]

Background: Only a small proportion of patients with end-stage renal disease can receive kidney transplants because of insufficiency of kidney donors in Taiwan. Hospitals compete with each other for kidney transplant surgeries. This study examined the association between hospital surgical volume of kidney transplants and patients’ outcomes and utilizations. Methods: Claims data of all kidney transplants between 1996 and 2003 were retrieved from the National Health Insurance Research Database for analysis. Every kidney recipient was followed up for 3 years until the end of 2006. Hospitals were classified as high-surgical-volume hospitals (HSVHs) if their total number of kidney transplants was 72 or more between 1996 and 2003; otherwise, they were grouped into the low-surgical-volume hospitals (LSVHs). The differences in quality (infection rate, graft rejection rate, readmission rate, mortality, and survival rates of patients and transplanted grafts at 1, 2, and 3 years after surgery) and cost (length of stay, total transplant cost, and annual medical cost for 3 years) of kidney transplants were examined between the two groups. Results: Totally, 1,060 kidney transplants were analyzed, 77% of which were conducted at 6 of 29 qualified hospitals. Compared with those performed at LSVHs, transplant surgeries at HSVHs were associated with lower bacteria (35.1% vs. 48.8%, p