Substantial evidence indicates that leadership plays a critical role in an organization's success. Our study aims to conduct case studies on leadership attributes among China's five top-performing hospitals, examining their common practices. A semi-structured interview was conducted with 8 leaders, 39 managers, 19 doctors, and 16 nurses from the five sample hospitals in China. We collected information from these hospitals on the role of senior leadership, organizational governance, and social responsibility, aligning with the leadership assessment guidelines in the Baldrige Excellence Framework. Qualitative data underwent interpretation through content analysis, thematic analysis, and comparative analysis. This study adhered to the consolidated criteria for reporting qualitative research guidelines for reporting qualitative research. Our study revealed that the leaders of the five top-performing hospitals in China consistently established "Patient Needs First" as the core element of the hospital culture. Striving to build world-renowned hospitals with Chinese characteristics, the interviewees all believed strongly in scientific vigor, professionalism, and cooperative culture. The leaders adhered to a staff-centered approach, placing special emphasis on talent recruitment and development, creating a compensation system, and fostering a supportive environment conducive to enhancing medical knowledge, skills, and professional ethics. In terms of organizational governance, they continuously enhanced the communication between various departments and levels of staff, improved the quality and safety of medical care, and focused on innovative medical and scientific research, thereby establishing evidence-based, standardized hospital management with a feedback loop. Meanwhile, regarding social responsibility, they prioritized improvements in the quality of healthcare by providing international and domestic medical assistance, community outreach, and other programs. To a large extent, the excellent leadership of China's top-performing hospitals can be attributed to their commitment to a "Two-Pillared Hospital Culture," which prioritizes putting patient needs first and adopting a staff-centered approach. Furthermore, the leaders of these hospitals emphasize hospital performance, operations management, and social responsibility.
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http://dx.doi.org/10.1093/intqhc/mzae046 | DOI Listing |
EClinicalMedicine
March 2025
Heart Center, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Background: Atrial fibrillation (AF) represents a major risk factor of ischemic stroke recurrence with serious management implications. However, it often remains undiagnosed due to lack of standard or prolonged cardiac rhythm monitoring. We aim to create a novel end-to-end artificial intelligence (AI) model that uses MRI data to rapidly identify high AF risk in patients who suffer from an acute ischemic stroke.
View Article and Find Full Text PDFSmall Methods
March 2025
School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules, Shanghai Key Laboratory for Molecular Engineering of Chiral Drugs, Shanghai Jiao Tong University, Shanghai, 200240, China.
Plasmids are widely used gene vectors in gene therapy, yet their efficient delivery remains a major challenge for achieving optimal therapeutic outcomes. Recently, poly(β-amino esters) (PBAEs) have emerged as promising carriers for non-viral gene delivery due to their tunable structures and high delivery efficiency. Nonetheless, the cationic nature of PBAEs raises toxicity concerns, and their lack of tissue-specific targeting capability limits their clinical application.
View Article and Find Full Text PDFBioengineering (Basel)
January 2025
Department of Mechanical and Industrial Engineering, University of Illinois Chicago, 942 W Taylor St., Chicago, IL 60607, USA.
Out-of-hospital cardiac arrest (OHCA) is a major public health burden due to its high mortality rate, sudden nature, and long-term impact on survivors. Consequently, there is a crucial need to create prediction models to better understand patient trajectories and assist clinicians and families in making informed decisions. We studied 107 adult OHCA patients admitted at an academic Emergency Department (ED) from 2018-2023.
View Article and Find Full Text PDFBackground And Aims: Syncope is a frequent reason for hospital emergency admissions, presenting significant challenges in determining its cause and associated risks. Despite its prevalence, research on using artificial intelligence (AI) to improve patient outcomes in this context has been limited. The main objective of current study is to predict the severity of syncope cases using machine learning (ML) algorithms based on data collected during on-site treatment and ambulance transportation.
View Article and Find Full Text PDFClin Transl Oncol
February 2025
Department of Nuclear Medicine, Affiliated Hospital of Nantong University, No. 20 of Xisi Road, ChongChuan District, Nantong, 226001, Jiangsu, China.
Purpose: This study evaluates a three-dimensional (3D) deep learning (DL) model based on fluorine-18 fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) for predicting the preoperative status of spread through air spaces (STAS) in patients with clinical stage I lung adenocarcinoma (LUAD).
Methods: A retrospective analysis of 162 patients with stage I LUAD was conducted, splitting data into training and test sets (4:1). Six 3D DL models were developed, and the top-performing PET and CT models (ResNet50) were fused for optimal prediction.
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