ReviewNeurocritical care2014
Multimodality monitoring: informatics, integration data display and analysis.
Review in Neurocritical care, 2014. 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.
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, 1 synthesis or guideline pooled it.
- Novel displays of patient information in critical care settings: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2019Pooled it
- Chinese experts' consensus on the application of intensive care big data.Frontiers in medicine · 2023Article
- Prolonged Automated Robotic TCD Monitoring in Acute Severe TBI: Study Design and Rationale.Neurocritical care · 2022Observational
- Big data in status epilepticus.Epilepsy & behavior : E&B · 2019Review
- Critical care information display approaches and design frameworks: A systematic review and meta-analysis.Journal of biomedical informatics: X · 2019Article
- "Usability of data integration and visualization software for multidisciplinary pediatric intensive care: a human factors approach to assessing technology".BMC medical informatics and decision making · 2017Article
- Computerized Decision Support System for Traumatic Brain Injury Management.Journal of pediatric intensive care · 2016Review
- Brain Multimodality Monitoring: Updated Perspectives.Current neurology and neuroscience reports · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
The goal of multimodality neuromonitoring is to provide continuous, real-time assessment of brain physiology to prevent, detect, and attenuate secondary brain injury. Clinical informatics deals with biomedical data, information, and knowledge including their acquisition, storage, retrieval, and optimal use for clinical decision-making. An electronic literature search was conducted for English language articles describing the use of informatics in the intensive care unit setting from January 1990 to August 2013. A total of 64 studies were included in this review. Clinical informatics infrastructure should be adopted that enables a wide range of linear and nonlinear analytical methods be applied to patient data. Specific time epochs of clinical interest should be reviewable. Analysis strategies of monitor alarms may help address alarm fatigue. Ergonomic data display that present results from analyses with clinical information in a sensible uncomplicated manner improve clinical decision-making. Collecting and archiving the highest resolution physiologic and phenotypic data in a comprehensive open format data warehouse is a crucial first step toward information management and two-way translational research for multimodality monitoring. The infrastructure required is largely the same as that needed for telemedicine intensive care applications, which under the right circumstances improves care quality while reducing cost.
Indexed as
Identifiers
25208675What 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.