Background: Digital photography is crucial for electronic medical records (EMRs), particularly for documenting dermatological diseases and traumatic wounds. In modern emergency departments (EDs), digital cameras are commonly used for photography, but the process is time-consuming. The problems of addressing patient privacy issues and that of interruptions and heavy workloads can cause archival errors when uploading photos. However, smartphones are widely available and cheap, so with a suitable app many errors could be mitigated. Objective: The aim of this study is to design and test a smartphone app to improve the efficiency of clinical photography and improve patient privacy in the ED. The app is connected to the hospital information system to verify patient identification and enable archiving, and the app can automatically delete images after upload to the patient’s EMR. Methods: This study enrolled 48 experienced ED nurses trained in clinical photography. Each nurse was first assigned a digital camera for photography and then a smartphone with the app preinstalled after it was launched. The time taken to upload images to a patient’s EMR was then recorded and the efficiency of the digital camera and app groups were compared. Results: The average time taken to upload images to a patient’s EMR for the camera and app groups were 96.3 s (SD 19.3; P<.001) and 26.3 s (SD 4.7; P<.001), respectively. Conclusions: The app effectively reduced processing time and improved clinical photography efficiency in the ED. Some issues of patient privacy in the camera group were revealed and resolved in the app group.

Background: The process of manually recording the consumption of medical materials can be time consuming and prone to omission owing to its detailed and complicated nature. Implementing an information system will better improve work performance. Objective: The Information System Success Model was adopted as the theoretical foundation. The opinions of nursing staff were collected to verify the impact of the system intervention on their work performance. Methods: This cross-sectional study was conducted at a regional teaching hospital. Nursing staff were invited to participate in the field survey. A total of 296 questionnaires were collected, and of these, 284 (95.9%) were valid and returned. Results: The key findings showed that two critical factors (“subjective norm” and “system quality”) had significant positive effects (both P<.001) on user satisfaction (R2=0.709). The path of “service quality” to “user satisfaction” showed marginal significance (P=.08) under the 92% CI. Finally, the explanatory power of the model reached 68.9%. Conclusions: Support from the top management, appointment of a nurse supervisor as the change agent, recruitment of seed members to establish a pioneer team, and promotion of the system through the influence of opinion leaders in small groups were critical success factors needed for implementing the system in the case hospital. The target system was proven to be able to improve work performance, and the time saved could be further used for patient care, thereby increasing the value of nursing work. The positive experiences gained from this study could lay the foundation for the further promotion of the new system, and this is for future studies to replicate. The example of the successful experience of the case hospital could also serve as a reference for other hospitals in developing countries like Taiwan with regard to the promotion of nursing informatization.

Income tax is one of the key revenues for a government, though taxpayers are often tempted to evade it, using many different means. In Taiwan, income tax auditing relies on a computerized selection of cases. Its result is thereby dependent on the quality of sampling, so is its effect on curbing tax evasion. Insufficient workforce also makes the auditing more difficult. To enhance the effectiveness of tax auditing, we used previous filing records of enterprise and individual income taxes as a database to develop two different models via decision tree and artificial neural network. The accuracy rates of the models were compared in order to confirm their suitability for different tax types. The results showed that the DT model had a higher accuracy rate in detecting tax evasion in individual income tax. In comparison, ANN performed better in the category of enterprise income tax. Auditors have to choose different techniques for different tax types, either based on their own experience or additional information, such as the results of this research, which provides a useful reference for the choice of auditing tools.

BACKGROUND The process of manually recording the consumption of medical materials can be time consuming and prone to omission owing to its detailed and complicated nature. Implementing an information system will better improve work performance. OBJECTIVE The Information System Success Model was adopted as the theoretical foundation. The opinions of nursing staff were collected to verify the impact of the system intervention on their work performance. METHODS This cross-sectional study was conducted at a regional teaching hospital. Nursing staff were invited to participate in the field survey. A total of 296 questionnaires were collected, and of these, 284 (95.9%) were valid and returned. RESULTS The key findings showed that two critical factors (“subjective norm” and “system quality”) had significant positive effects (both P<.001) on user satisfaction (R2=0.709). The path of “service quality” to “user satisfaction” showed marginal significance (P=.08) under the 92% CI. Finally, the explanatory power of the model reached 68.9%. CONCLUSIONS Support from the top management, appointment of a nurse supervisor as the change agent, recruitment of seed members to establish a pioneer team, and promotion of the system through the influence of opinion leaders in small groups were critical success factors needed for implementing the system in the case hospital. The target system was proven to be able to improve work performance, and the time saved could be further used for patient care, thereby increasing the value of nursing work. The positive experiences gained from this study could lay the foundation for the further promotion of the new system, and this is for future studies to replicate. The example of the successful experience of the case hospital could also serve as a reference for other hospitals in developing countries like Taiwan with regard to the promotion of nursing informatization.

The Trail Making Test is a key cognitive assessment for executive functions, yet a reliable electronic version tailored to Chinese-speaking populations is unavailable. This study develops an electronic TMT (eTMT) adapted for Chinese users, incorporating Chinese Zodiac symbols and characters to replace English letters, and evaluates its test-retest reliability. This pilot study introduces a culturally adapted eTMT for Chinese speakers. With 34 older adults, the eTMT showed strong test-retest reliability (Intraclass correlation coefficient and Cronbach’s α were reached near 0.7–0.8, p < 0.000) and correlated (correlation coefficients near 0.5 to 0.7, p < .000) well with the paper version. Unlike original pTMT, which only measure completion time, the eTMT also records response times, movement patterns, and error rates, providing a more comprehensive assessment of executive function. These additional data allow for more in-depth analysis, providing a comprehensive assessment of executive function that can be used by clinicians to inform and adjust individualized treatment plans and interventions. The eTMT digital format offers flexibility, eco-friendliness, and richer data, aligning well with sustainable practices in clinical, digital therapeutics, and community settings.