ArticleIEEE journal of biomedical and health informatics2020
IRIS: A Modular Platform for Continuous Monitoring and Caretaker Notification in the Intensive Care Unit.
Article in IEEE journal of biomedical and health informatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 20 citations in OpenAlex.
- Multimodal Artificial Intelligence for Precision Critical Care: A Scoping Review.Health data science · 2026Review
- Construction of community home-based older adult care service model based on modular design concept.Frontiers in public health · 2025Article
- A Complementary Dual-Mode Ion-Electron Conductive Hydrogel Enables Sustained Conductivity for Prolonged Electroencephalogram Recording.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Improving Quality of Care for Status Epilepticus: Putting Protocols into Practice.Current neurology and neuroscience reports · 2024Review
- Development and Validation of a Prediction Model for Acute Hypotensive Events in Intensive Care Unit Patients.Journal of clinical medicine · 2024Article
- Article
- A Full-Stack Application for Detecting Seizures and Reducing Data During Continuous Electroencephalogram Monitoring.Critical care explorations · 2021Article
- Monitor-Watcher Use, Nurses' Knowledge of Electrocardiographic Monitoring, and Arrhythmia Detection.American journal of critical care : an official publication, American Association of Critical-Care Nurses · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors at 7 institutions in 1 country.
Funding
Abstract
objectiveNew approaches are needed to interpret large amounts of physiologic data continuously recorded in the ICU. We developed and prospectively validated a versatile platform (IRIS) for real-time ICU physiologic monitoring, clinical decision making, and caretaker notification.
methodsIRIS was implemented in the neurointensive care unit to stream multimodal time series data, including EEG, intracranial pressure (ICP), and brain tissue oxygenation (P
resultsSustained increases in ICP and concordant decreases in P
conclusionThis study validates a flexible real-time platform for monitoring and interpreting ICU data and notifying caretakers of actionable results, with potential to reduce the manual burden of continuous monitoring services on care providers. SIGNIFICANCE: This work represents an important step toward facilitating translational medical data analytics to improve patient care and reduce health care costs.
Indexed as
Identifiers
What OpenQuestion holds
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.