Journal of clinical monitoring and computing
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J Clin Monit Comput · Jun 2019
Change in staff anesthesiologists' opinions of an Anesthesia Information Management System (AIMS).
Following introduction of an Anesthesia Information Management System (AIMS) at a tertiary care, academic health sciences centre, a quality assurance initiative was conducted to assess staff opinions of the AIMS using a previously published, anonymous survey tool at 1 and 5 years following AIMS introduction. At 5 years compared to 1 year after implementation of AIMS, the majority (18 of 24, 75%) of responses to the survey questions had a statistically significant change (P < 0.05) in the proportion of respondents favoring AIMS compared to the 1 year survey. Domains noted to be more favorable 5 years compared to 1 year after AIMS introduction included patient safety in the Operating Rooms and Post-Anesthesia Care Unit, quality of handover and overall documentation, and communication amongst healthcare workers. The ideal time period at which to assess AIMS after introduction is not clear.
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J Clin Monit Comput · Jun 2019
Randomized Controlled TrialValidation of a mobile app for reducing errors of administration of medications in an emergency.
Medication errors occur frequently and are a risk to patient safety. To reduce mistakes in the medication process in emergencies, a mobile app has been developed supporting the calculation of doses and administration of drugs. A simulation study was performed to validate the app as a tool to reduce medication errors. ⋯ The probability of giving an "accurate" dosage was increased from 77.7 (70.9-84.5%) in control scenarios to 93.9 (90-97.8%) in app scenarios. Calculation errors were the main cause for wrong dosing. The app is an appropriate and feasible tool to reduce calculation and handling errors and may increase patient safety.
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J Clin Monit Comput · Jun 2019
Observational StudyInvestigation of intraoperative dosing patterns of neuromuscular blocking agents.
There is a growing body of literature documenting the use of deep neuromuscular block (NMB) during surgery. Traditional definitions of depth of NMB rely on train-of-four assessment, which can be less reliable in retrospective studies. The goal of our study was to investigate the real-world practice pattern of dosing of neuromuscular blocking agents (NMBA), utilizing the amount of NMBA used during the course of a case, adjusted for patient weight and case duration, as a surrogate measure of depth of NMB. ⋯ Cases with higher rates of HD may be those that are traditionally technically complex or emergent, would benefit from greater paralysis, or do not use adjunctive medications for muscle relaxation. Age greater than 65 years was shown to have lower rates of HD, likely due to provider awareness of age-related changes in pharmacokinetics and pharmacodynamics. Intraoperative monitoring and NMB antagonism with neostigmine were used more frequently with HD.
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Cuff pressure gauges are the only recommended instrument to perform controls on endotracheal tube cuff pressure during anesthesia. No calibration is mandatory for these devices. The aim of this study was to describe the level of conformity of various cuff pressure gauges. ⋯ A minority of cuff pressure gauges went through our homologation criteria. These results demonstrate us that there is a real problem of the reliability and the follow-up of those medical devices. This study suggests to reinforce biomedical engineering control on these devices.
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J Clin Monit Comput · Jun 2019
Acute pain intensity monitoring with the classification of multiple physiological parameters.
Current acute pain intensity assessment tools are mainly based on self-reporting by patients, which is impractical for non-communicative, sedated or critically ill patients. In previous studies, various physiological signals have been observed qualitatively as a potential pain intensity index. On the basis of that, this study aims at developing a continuous pain monitoring method with the classification of multiple physiological parameters. ⋯ With facial electromyogram, the adaptivity of this method to a new subject was improved as the recognition accuracy of moderate/severe pain in leave-one-subject-out cross-validation was promoted from 74.9 ± 21.0 to 76.3 ± 18.1%. Among healthy volunteers, GSR, HR and BR were better correlated to pain intensity variations than facial muscle activities. The classification of multiple accessible physiological parameters can potentially provide a way to differentiate among no, mild and moderate/severe acute experimental pain.