Publications by authors named "Pa Chun Wang"

Objective: To present workplace-based entrustable professional activities (EPAs) assessment data from the first 2 years of the EMYWAY platform in otolaryngology residency training in Taiwan.

Study Design: Two-year cross-sectional study.

Setting: Otolaryngology training programs.

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As an alternative to assessments performed by human experts, artificial intelligence (AI) is currently being used for screening fundus images and monitoring diabetic retinopathy (DR). Although AI models can provide quasi-clinician diagnoses, they rarely offer new insights to assist clinicians in predicting disease prognosis and treatment response. Using longitudinal retinal imaging data, we developed and validated a predictive model for DR progression: AI-driven Diabetic Retinopathy Progression Prediction Algorithm (ADRPPA).

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Objectives: Cochlear implants are an option for children with sensorineural hearing loss who do not benefit from hearing aids. Although bilateral cochlear implantation (CI) has been shown to enhance hearing performance and quality of life, its cost-effectiveness remains unclear. This study aimed to evaluate the cost-effectiveness of bilateral CI compared with bimodal hearing for children with sensorineural hearing loss in Taiwan from both the perspectives of patients and Taiwan's National Health Insurance Administration (TNHIA).

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Background: Clinical core medical knowledge (CCMK) learning is essential for medical trainees. Adaptive assessment systems can facilitate self-learning, but extracting experts' CCMK is challenging, especially using modern data-driven artificial intelligence (AI) approaches (e.g.

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Objectives: To translate and validate the Chinese version of the Speech, Spatial, and Qualities of Hearing Scale (SSQ) for children with hearing impairment (C-SSQ-C) and for their parents (C-SSQ-P).

Design: We translated the SSQ for children into Chinese and verified its readability and comprehensibility. A total of 105 participants with moderate-to-profound hearing loss (HL) and 54 with normal hearing were enrolled in the validation process.

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Objective: The COVID-19 pandemic has spurred a growing demand for telemedicine. Artificial intelligence and image processing systems with wireless transmission functionalities can facilitate remote care for otitis media (OM). Accordingly, this study developed and validated an algorithm-driven tele-otoscope system equipped with Wi-Fi transmission and a cloud-based automatic OM diagnostic algorithm.

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Objectives: Medical adverse event (MAE) reporting and management are essential for patient safety campaigns. An epidemiological assessment of MAE trends is crucial for understanding the effectiveness of patient safety improvement efforts. This study analyzed the trends of inpatient MAEs, focusing on MAE incidence and harm severity.

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Hearing loss is a common sensory disorder in newborns. Early intervention with assistive devices benefits children's auditory and speech performance. This study aimed to measure the health utilities of children with bilateral severe-to-profound hearing impairment with different assistive devices.

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Acute myocardial infarction (AMI) treatment requires timely diagnosis and treatment for optimal health outcomes. The Coronavirus Disease (COVID-19) pandemic has caused changes in health-care delivery and utilization; therefore, the present study explored the changes in emergency care quality indicators for patients with AMI before and during different periods of government response to the COVID-19 outbreak in Taiwan. The Taiwan Clinical Performance Indicators database was used to evaluate the impact of COVID-19 on acute care quality indicators for patients with AMI during four periods: before the COVID-19 outbreak (Period I-1 January to 31 December 2019) and during three periods in which the central government imposed different levels of epidemic prevention and response alerts (Period II-1 January 2020 to 30 April 2021; Period III-1 May to 31 July 2021; and Period IV-1 August to 31 December 2021).

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Background: Developing clinical thinking competence (CTC) is crucial for physicians, but effective methods for cultivation and evaluation are a significant challenge. Classroom teaching and paper-and-pencil tests are insufficient, and clinical field learning is difficult to implement, especially during the COVID-19 pandemic. Simulation learning is a useful alternative, but existing methods, e.

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To date, COVID-19 is by far the most impactful contagious disease of the 21st century and it has had a devastating effect on public health in countries around the globe. Elective medical services have declined markedly since the outbreak of the COVID-19 pandemic. Few studies have compared changes in healthcare quality before and during the outbreak of COVID-19 in Eastern Asian countries.

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Background: Neurofibromatosis type 2 (NF2) is an autosomal dominantly inherited disease with slow, yet potentially life-threatening progression.

Objective: We describe the clinical manifestations and genetic profile of a family with NF2.

Methods: We enrolled a 16-member family with NF2.

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Objectives: Loss of smell or taste are early symptoms of COVID-19. Given the high asymptomatic rate of COVID-19, as well as unreliable temperature checking and contact history taking, it is important to understand the role of olfactory and gustatory dysfunction (OGD) in the diagnosis of COVID-19. The aim of this study is to determine how initial symptoms of OGD can be used to screen patients for COVID-19 laboratory testing.

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Objectives: Otitis media with effusion (OME) is characterized by the presence of fluid in the middle ear without the presentation of signs or symptoms of acute ear infection. The point prevalence of OME reaches as high as 60% in children younger than 2 years of age. We used the National Health Insurance Research Database (NHIRD) to investigate the use of medication in children with OME before receiving ventilation tube insertion (VTI).

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This paper presents a method for automatic segmentation of tympanic membranes (TMs) from video-otoscopic images based on deep fully convolutional neural network. Built upon the UNet architecture, the proposed EAR scheme is based on three main paradigms: EfficientNet for the encoder, Attention gate for the skip connection path, and Residual blocks for the decoder. The paper also introduces a new loss function term for the neural networks to perform segmentation tasks.

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Aim: The prevalence of chronic kidney disease (CKD) is on the rise due to population aging and multimorbidity. Taiwan is particularly afflicted by this prevailing ailment. Although multidisciplinary pre-dialysis care has been implemented to halt CKD progression and reduce health-care utilization in Taiwan, more is needed to reduce the local burden of CKD.

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It is well known that information technology (IT) can play a pivotal role in enhancing healthcare quality and patient safety. The use of computational science to enhance the capabilities of hospital information systems helps deliver enhanced healthcare quality. "Smart healthcare" has become a popular term, reflecting the level of IT involvement in healthcare services.

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Article Synopsis
  • Patient safety culture and staff well-being are essential in hospitals, especially during the COVID-19 pandemic.
  • A study of 337 employees highlighted that factors like managerial role, seniority, and gender influence positive safety culture perceptions, while teamwork and stress recognition impact staff exhaustion.
  • Compared to 2018, post-pandemic employees felt better about working conditions but experienced increased exhaustion, emphasizing the need for hospital leaders to enhance patient safety culture and support employee resilience going forward.
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Fluctuating hearing loss is characteristic of Ménière's disease (MD) during acute episodes. However, no reliable audiometric hallmarks are available for counselling the hearing recovery possibility. To find parameters for predicting MD hearing outcomes.

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Objective: To assess national trends in patient safety culture in Taiwan.

Design: A safety attitudes questionnaire (SAQ) was distributed to 144 hospitals from 2009 to 2016 (n = 392 341).

Setting: Taiwan's medical centers, regional hospitals and community hospitals.

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Objective: Simulation technology has been integrated into team resource management (TRM) training in many hospitals. We designed a simulation-based TRM training scenario (SBTRM) aiming to help post graduate year (PGY) physicians to fulfil the requirements of the entrustable professional activities 13 (EPA 13). In this study, we investigate and report the SBTRM effectiveness.

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Background: The relationship between certification for specific disease care and clinical outcome was not well known. Previous studies regarding the effect of certification for acute stroke centers were limited by their cross-sectional design. This study aimed to investigate the effect of disease-specific care (DSC) certification on healthcare performance and clinical outcome of acute myocardial infarction (AMI).

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Understanding the topography of hospital safety culture is vital for developing, implementing, and monitoring the effectiveness of tailored safety programs. Since 2009, the Chinese version of the Safety Attitudes Questionnaire (SAQ-C) has been introduced and administered to providers in many Taiwanese hospitals. The mean percentage of SAQ survey respondents who demonstrate attitudinal agreement within each of the SAQ domains, the percent agreement (PA) score, is used worldwide as the main parameter of safety culture surveys.

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