Publications by authors named "A Francke"
Background: At the beginning of the COVID-19 pandemic in 2020, little was known about the spread of COVID-19 in Dutch nursing homes while older people were particularly at risk of severe symptoms. Therefore, attempts were made to develop a nationwide COVID-19 repository based on routinely recorded data in the electronic health records (EHRs) of nursing home residents. This study aims to describe the facilitators and barriers encountered during the development of the repository and the lessons learned regarding the reuse of EHR data for surveillance and research purposes.
View Article and Find Full Text PDFArticle Synopsis
- The study introduces a new method for accessing the cephalic vein (CVP) for implanting cardiac devices, which may lead to fewer complications and easier learning for healthcare providers.
- It analyzed data from 229 patients, with a focus on CVP as the main access route and found a 90% success rate for lead implantation using this method.
- The results show that CVP is as efficient as the traditional subclavian vein puncture (SVP) while having lower complication rates, suggesting it could become the preferred approach for these procedures.
Article Synopsis
- The study examined patient safety by comparing adverse events (AEs) in hospital patients with and without conditions relevant for palliative care, finding no significant differences in overall prevalence but noting variability in types of AEs.
- Out of nearly 3,000 patient records reviewed from hospitals in the Netherlands, both groups had similar rates of potentially preventable AEs and deaths, with medication-related issues prevalent in palliative care patients and surgery issues more common in others.
- The analysis highlighted that the majority of AEs were due to patient-related causes, suggesting a need for tailored prevention strategies, despite overall preventability rates being comparable across both groups.
Article Synopsis
- NLP enhances research on activities of daily living (ADL) by structuring information from unstructured electronic health records (EHRs), with a systematic review covering studies from 2017-2022.
- Most identified studies (65%) utilized NLP techniques like deep learning and machine learning, focusing on 1 or 2 ADLs and showing generally high performance scores in evaluation metrics.
- The review highlights the potential of NLP systems for EHR data extraction on ADLs but notes difficulties in performance comparison due to variations in study designs, data access challenges, and dataset characteristics.
Introduction: This paper provides insight into the development of the Dutch Dementia Care and Support Registry and the lessons that can be learned from it. The aim of this Registry was to contribute to quality improvement in dementia care and support.
Methods: This paper describes how the Registry was set up in four stages, reflecting the four FAIR principles: the selection of data sources (Findability); obtaining access to the selected data sources (Accessibility); data linkage (Interoperability); and the reuse of data (Reusability).