ArticleBMC anesthesiology2018
Design of a Novel Multifunction Decision Support Display for Anesthesia Care: AlertWatch® OR.
Article in BMC anesthesiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 27 citations in OpenAlex.
- Anaesthesia professionals' perspectives on ECG interpretation and arrhythmia situation awareness with Visual Patient Heart: a qualitative multicentre study.BMC medical informatics and decision making · 2026Article
- An Emerging Role of Artificial Intelligence in Pediatric Neuroanesthesia.Journal of Korean Neurosurgical Society · 2026Article
- Article
- Qualitative Exploration of Anesthesia Providers' Perceptions Regarding Philips Visual Patient Avatar in Clinical Practice.Bioengineering (Basel, Switzerland) · 2024Article
- Human-centered visualization technologies for patient monitoring are the future: a narrative review.Critical care (London, England) · 2023Review
- Design of a novel multifunction decision support/alerting system for in-patient acute care, ICU and floor (AlertWatch AC).BMC anesthesiology · 2021Article
- Development, implementation and preliminary evaluation of clinical dashboards in a department of anesthesia.Journal of clinical monitoring and computing · 2021Article
- Clinically applicable approach for predicting mechanical ventilation in patients with COVID-19.British journal of anaesthesia · 2021Observational
- A Web-Based Perioperative Dashboard as a Platform for Anesthesia Informatics Innovation.Anesthesia and analgesia · 2020Article
- Remote Surveillance Technologies: Realizing the Aim of Right Patient, Right Data, Right Time.Anesthesia and analgesia · 2019Review
- A Visual Analytics Dashboard to Summarize Serial Anesthesia Records in Pediatric Radiation Treatment.Applied clinical informatics · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis paper describes the design of a multifunction alerting display for intraoperative anesthetic care. The design was inspired by the multifunction primary flight display used in modern aviation.
resultsThe display retrieves live data from multiple sources; the physiologic monitors, the anesthesia information management system, the laboratory values and comorbidities from patient's problem summary list, medical history or history & physical. This information is integrated into a display composed of readily identifiable icons of organ systems, which are color coded to signify normal range, marginal range, abnormal range (by green, yellow, red respectively) and orange outlines for comorbidities/risk factors. There are dozens of text alerts, which can be presented as black text (informational), red text (important information) and red scrolling text (highest importance information). The alerts are derived from current standards in the literature and some involve complex calculations being conducted in the background.
conclusionsThe goal of such a system is to improve the quality and safety of anesthetic care by providing enhanced situational awareness in a fashion analogous to the "glass cockpit" and its primary flight display which has improved aviation safety.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.