Journal of clinical monitoring and computing
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J Clin Monit Comput · Aug 2024
Observational StudyA machine learning algorithm for detecting abnormal patterns in continuous capnography and pulse oximetry monitoring.
Continuous capnography monitors patient ventilation but can be susceptible to artifact, resulting in alarm fatigue. Development of smart algorithms may facilitate accurate detection of abnormal ventilation, allowing intervention before patient deterioration. The objective of this analysis was to use machine learning (ML) to classify combined waveforms of continuous capnography and pulse oximetry as normal or abnormal. ⋯ This study presents a promising advancement in respiratory monitoring, focusing on reducing false alarms and enhancing accuracy of alarm systems. Our algorithm reliably distinguishes normal from abnormal waveforms. More research is needed to define patterns to distinguish abnormal ventilation from artifacts.
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J Clin Monit Comput · Aug 2024
The modern anesthesiologist's manual: the development and maintenance of an anesthesia case reference application.
Anesthesia clinicians care for patients undergoing a wide range of procedures, making access to reliable references crucial. However, existing resources have key limitations. This technical report describes the development of an in-house anesthesia case reference application designed for use in a tertiary academic hospital. ⋯ The most popular articles centered around procedures with diverse and specific surgeon preferences. Currently, the reported case reference application is routinely utilized by anesthesia clinicians at our institution. Future endeavors will concentrate on establishing a robust content management workflow to broaden the coverage of topics.