ArticleJournal of clinical monitoring and computing2013
Near real-time notification of gaps in cuff blood pressure recordings for improved patient monitoring.
Article in Journal of clinical monitoring and computing, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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The trial behind it
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.
- A systematic review of near real-time and point-of-care clinical decision support in anesthesia information management systems.Journal of clinical monitoring and computing · 2017Pooled it
- Automated alerts and intraoperative noninvasive blood pressure monitoring gaps: a retrospective before-and-after study.BMC anesthesiology · 2026Article
- Big data in anaesthesia: a narrative, nonsystematic review.European journal of anaesthesiology and intensive care · 2023Article
- Development and Implementation of the Portable Operating Room Tracker App With Vital Signs Streaming Infrastructure: Operational Feasibility Study.JMIR perioperative medicine · 2019Article
- Influence of non-invasive blood pressure measurement intervals on the occurrence of intra-operative hypotension.Journal of clinical monitoring and computing · 2018Article
- Development and Feasibility of a Real-Time Clinical Decision Support System for Traumatic Brain Injury Anesthesia Care.Applied clinical informatics · 2017Article
- Intraoperative blood glucose management: impact of a real-time decision support system on adherence to institutional protocol.Journal of clinical monitoring and computing · 2016Article
- Near real-time notification of gaps in cuff blood pressure recordings for improved patient monitoring.Journal of clinical monitoring and computing · 2013Article
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Blood pressure monitoring during anesthesia is an American Society of Anesthesiology standard. However, the anesthesia provider sometimes fails to engage the patient monitor to make periodic (generally every 3-5 min) measurements of Non-Invasive Blood Pressure (NIBP), which can lead to extended periods (>5 min) when blood pressure is not monitored. We describe a system to automatically detect such gaps in NIBP measurement and notify clinicians in real-time to initiate measurement. We applied a decision support system called the Smart Anesthesia Messenger (SAM) to notify the anesthesia provider if NIBP measurements have not been made in the last 7 min. Notification messages were generated only if direct arterial blood pressure was not being monitored. NIBP gaps were analyzed for 9 months before and after SAM notification was initiated (12,000 cases for each period). SAM notification was able to reduce the occurrence of extended NIBP gaps >15 min from 15.7 ± 4.5 to 6.7 ± 2.0 instances per 1,000 cases (p < 0.001). In addition, for extended gaps (>15 min) the mean gap duration declined from 23.1 ± 2.0 to 18.6 ± 1.1 min after SAM notification was initiated (p < 0.001). However, for 7-15 min gaps, SAM notification was not effective in reducing the occurrence. The maximum gap encountered before SAM was 64 min, while it was 27 min with SAM notification. Real-time notification using SAM is an effective way to reduce both the number of instances and the duration of inadvertent, extended (>15 min) gaps in blood pressure measurements in the operating room. However, the frequency of gaps <15 min could not be reduced using the current configuration of SAM.
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Registered trials
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