Difficult airway management continues to adversely affect patient care and clinical outcomes and is poorly predicted. Previous difficult airway management is the most accurate predictor of future diff...
To calculate completeness of the Danish Fracture Database (DFDB) overall and stratified by hospital volume and to calculate the validity of independently assessed variables in the DFDB....
In this completeness and validation study, cases registered in the DFDB with fracture-related surgery in 2016 were retrospectively reviewed. All cases had undergone fracture-related surgery at a Danis...
OVERALL COMPLETENESS WAS 55.4% (95% CI: : 54.7-56.0). For small-volume hospitals it was 60% (95% CI: 58.9-61.1), and for large-volume hospitals, it was 52.9% (95% CI: 52.0-53.7). The PPV for variables...
We found low completeness of data reported to the DFDB in 2016; however, in the same period, the validity of data in the DFDB was high....
Secondary use of health data is a valuable source of knowledge that boosts observational studies, leading to important discoveries in the medical and biomedical sciences. The fundamental guiding princ...
We propose a strategy for retrieving biomedical datasets of interest that were semantically annotated, using an interface built by applying a methodology for transforming natural language questions in...
Our methodology was validated using Alzheimer's disease datasets published in a European platform for sharing and reusing biomedical data. We converted data to semantic information format using biomed...
We propose a strategy for using information extracted from biomedical data and transformed into a semantic format using open biomedical ontologies. Our method uses natural language to formulate questi...
The availability of large state and federally run administrative health-care databases provides potentially comprehensive population-wide information that can dramatically impact both medical and heal...
Factual corrections that target misinformation improve belief accuracy. They do so across a wide variety of countries, political beliefs and demographic characteristics. Instances of backfire, wherein...
The objective of this paper is to provide a comprehensive overview of the development and features of the Taipei Medical University Clinical Research Database (TMUCRD), a repository of real-world data...
TMUCRD was developed by integrating EHRs from three affiliated hospitals, including Taipei Medical University Hospital, Wan-Fang Hospital and Shuang-Ho Hospital. The data cover over 15 years and inclu...
TMUCRD comprises 89 tables (eg, 29 tables for each hospital and 2 linked tables), including demographics, diagnoses, medications, procedures and measurements, among others. It encompasses data from mo...
TMUCRD stands out due to its unique advantages, including diverse data types, comprehensive patient information, linked mortality and cancer registry data, regular updates and a swift application proc...
TMUCRD serves as a valuable resource for researchers and scholars interested in leveraging RWD for clinical research. Its availability and integration of diverse healthcare data contribute to a collab...
Large scale databases are critical for helping scientists decipher long-term patterns in human evolution. This paper describes the conception and development of such a research database and illustrate...
Machine-learning-based scoring functions (MLSFs) have gained attention for their potential to improve accuracy in binding affinity prediction and structure-based virtual screening (SBVS) compared to c...
In this work, we present a subsystem of a robotic circulating nurse, that produces recommendations for the next supplied sterile item based on incomplete requests from the sterile OR staff, the curren...
For the implementation, the graph database Neo4j is used as a core component together with its querying language Cypher. We outline a specific structure of nodes and relationships, i.e., a graph. Prim...
The graph database was populated with existing data from 854 surgeries describing the intraoperative use of sterile items. A test scenario is evaluated in which a request for "Prolene" is made during ...
We have proposed a graph database for the selection of sterile items in the operating room. The example shows how the partial information from different sources can be easily integrated in a query, le...
Neuro-ophthalmologic conditions are at a higher risk of misdiagnosis compared to other ophthalmic conditions. Increased awareness of the most common diagnostic errors in neuro-ophthalmology that lead ...
Malpractice trials in the Westlaw Legal Database that involved cases of neuro-ophthalmologic diagnostic errors or failures by ophthalmologists were included in this study....
A total of 43 cases were included, all citing failure to diagnose as the main reason for litigation. The most common diagnoses missed were cerebrovascular pathologies (30.2%), intracranial tumours (27...
Nearly half of the cases resulted in a defendant verdict. Settlement and plaintiff verdicts were costly, with average awards of approximately two million inflation-adjusted dollars. Failure to diagnos...
