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Preventable hospitalizations through ED: does the number of hospital beds matter under the global budget in a single-payer system in Taiwan?
Front Public Health
January 2025
Division of Medical Statistics and Bioinformatics, Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung City, Taiwan.
Background: Taiwan implemented global hospital budgeting with a floating-point value, which created a prisoner's dilemma. As a result, hospitals increased service volume, which caused the floating-point value to drop to less than one New Taiwan Dollar (NTD). The recent increase in the number of hospital beds and the call to enhance the floating-point value to one NTD raise concerns about the potential for increased financial burden without adding value to patient care if hospitals expand their bed capacity for volume-based competition.
View Article and Find Full Text PDFIsolated Foot Drop Due to a Cerebral Infarction Mimicking Lumbar Radiculopathy: A Case Report and Literature Review.
Cureus
January 2025
College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, SAU.
Isolated foot drop is a neurological sign frequently linked to lower motor neuron (LMN) lesions, including peroneal nerve damage or L4-L5 radiculopathy. Nonetheless, upper motor neuron (UMN) lesions, such as strokes or tumors located in the parasagittal motor cortex, may sometimes manifest as isolated foot drops. The main causes of isolated foot drop secondary to central etiologies are uncommon, with few instances documented in the literature.
View Article and Find Full Text PDFApplication of Large Language Models in Medical Training Evaluation-Using ChatGPT as a Standardized Patient: Multimetric Assessment.
J Med Internet Res
January 2025
West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.
Background: With the increasing interest in the application of large language models (LLMs) in the medical field, the feasibility of its potential use as a standardized patient in medical assessment is rarely evaluated. Specifically, we delved into the potential of using ChatGPT, a representative LLM, in transforming medical education by serving as a cost-effective alternative to standardized patients, specifically for history-taking tasks.
Objective: The study aims to explore ChatGPT's viability and performance as a standardized patient, using prompt engineering to refine its accuracy and use in medical assessments.
Comparison of Nitroglycerin-Induced Pressure Ratio Drop and Resting Full-Cycle Ratio in a Pressure Wire Study.
J Clin Med
November 2024
Department of Internal Medicine, National Taiwan University Hospital, Hsin-Chu Branch, Hsin-Chu 300195, Taiwan.
Article Synopsis
- The study investigates how well the drop in coronary pressure after administering nitroglycerin (NTG) can predict fractional flow reserve (FFR) compared to the resting full-cycle ratio (RFR).
- In total, 202 vessels were analyzed from two prospective studies, where NTG-Pd/Pa showed a strong correlation with FFR (r = 0.945) and a cutoff value of 0.85 was established.
- Results indicated that NTG-Pd/Pa performed better than RFR in predicting FFR ≤ 0.8, with higher accuracy (91% vs. 84%) and sensitivity, making it a potentially more effective diagnostic tool.
Closha 2.0: a bio-workflow design system for massive genome data analysis on high performance cluster infrastructure.
BMC Bioinformatics
November 2024
Department of Bio-AI Convergence, Chungnam National University, Daejeon, 34134, Korea.
Background: The explosive growth of next-generation sequencing data has resulted in ultra-large-scale datasets and significant computational challenges. As the cost of next-generation sequencing (NGS) has decreased, the amount of genomic data has surged globally. However, the cost and complexity of the computational resources required continue to be substantial barriers to leveraging big data.
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