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Cloud Readiness of German Hospitals: Development and Application of an Evaluation Scale.
Stud Health Technol Inform
August 2024
Research Centre for Health and Social Informatics, Osnabrück University of Applied Sciences, Germany.
Article Synopsis
- The study focuses on assessing the cloud readiness of German hospitals in light of new regulations and AI advancements, using a scoring system based on the TPOM framework.
- A survey of 110 CIOs led to a refined set of 30 items that measure critical factors such as IT security, data collaboration, resource scalability, and legal compliance.
- Results indicate a moderate level of cloud readiness, with significant room for improvement, especially concerning regulatory challenges and political factors that influence cloud adoption.
Prevalence and Characteristics by Age and Sex in Pediatric Trigger Digits: Nationwide Analysis Using Korea Health Insurance Dataset.
Clin Orthop Surg
August 2024
Department of Orthopedic Surgery, National Health Insurance Service Ilsan Hospital, Ilsan, Korea.
Background: Pediatric trigger digit (TD) does not appear at birth but is diagnosed after birth by finding a flexion contracture of the thumb or other fingers. The reported incidence of pediatric TDs varies from 0.5 to 5 cases per 1,000 live births without sex-specific predominance.
View Article and Find Full Text PDFComparative Interrupted Time Series Analysis of Direct Medical Expense and Length of Stay in Elderly Patients with Femoral Neck Fractures Who Underwent Total Hip Arthroplasty and Hemiarthroplasty: A Real World Nationwide Database Study.
Clin Orthop Surg
April 2024
Quality Assessment Department, Health Insurance Review and Assessment Service, Wonju, Korea.
Background: The objective of our study was to analyze the postoperative direct medical expenses and hospital lengths of stay (LOS) of elderly patients who had undergone either hemiarthroplasty (HA) or total hip arthroplasty (THA) for femoral neck fractures and to determine the indication of THA by comparing those variables between the 2 groups by time.
Methods: In this comparative large-sample cohort study, we analyzed data from the 2011 to 2018 Korean National Health Insurance Review and Assessment Service database. The included patients were defined as elderly individuals aged 60 years or older who underwent HA or THA for a femoral neck fracture.
Automatic Segmentation and Radiologic Measurement of Distal Radius Fractures Using Deep Learning.
Clin Orthop Surg
February 2024
Department of Orthopaedic Surgery, National Medical Center, Seoul, Korea.
Article Synopsis
- A deep learning algorithm was developed to analyze distal radius fractures using X-ray images, and its effectiveness was compared with measurements taken by an orthopedic hand surgeon.
- The study utilized 634 wrist X-ray images, with 507 for training and 127 for testing, to segment the radius and ulna and measure specific radiologic parameters accurately.
- Results showed high accuracy rates (over 99%) for segmentation, and strong correlations (Pearson and intraclass correlation coefficients) between the algorithm's measurements and the manual methods used by the surgeon.
Analysis of Long-Term Medical Expenses in Vertebral Fracture Patients.
Clin Orthop Surg
December 2023
Department of Orthopaedic Surgery, Daejeon Eulji Medical Center, Eulji University School of Medicine, Daejeon, Korea.
Background: The objective of this study was to analyze the direct medical expenses of a vertebral fracture cohort (VC) and a matched cohort (MC) over 5 years preceding and following the fracture, analyze the duration of the rise in medical expenses due to the fracture, and examine whether the expenses vary with age group, utilizing a national claims database.
Methods: Subjects with vertebral fractures and matched subjects were chosen from the National Health Insurance Service Sample cohort (NHIS-Sample) of South Korea. Patients with vertebral fractures were either primarily admitted to acute care hospitals (index admissions) or those who received kyphoplasty or vertebroplasty during the follow-up period (2002-2015).
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