ReviewTheScientificWorldJournal2015
Information technology in critical care: review of monitoring and data acquisition systems for patient care and research.
Review in TheScientificWorldJournal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 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
38 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Association of Data Integration Technologies With Intensive Care Clinician Performance: A Systematic Review and Meta-analysis.JAMA network open · 2019Pooled it
- Integration of an Intensive Care Unit Visualization Dashboard (i-Dashboard) as a Platform to Facilitate Multidisciplinary Rounds: Cluster-Randomized Controlled Trial.Journal of medical Internet research · 2022Trial
- Smart Cardiac ICU: Digital Integration, Predictive Analytics, and Perioperative Inflammation.Bioengineering (Basel, Switzerland) · 2026Review
- Humanizing the pediatric intensive care unit through new technologies and artificial intelligence.Frontiers in health services · 2026Article
- PilOT-Measure: a mobile 3D depth sensing application to support accurate and efficient clinician-led home-based falls risk assessments.BMC medical informatics and decision making · 2025Article
- MC-MED, multimodal clinical monitoring in the emergency department.Scientific data · 2025Article
- Continuous operation of battery-free implants enables advanced fracture recovery monitoring.Science advances · 2025Article
- Using electronic health records to classify risk for adverse safety events with ICU patient Mobility: A Cross-Sectional study.Intensive & critical care nursing · 2025Article
- From intensive care monitors to cloud environments: a structured data pipeline for advanced clinical decision support.EBioMedicine · 2025Article
- Wireless skin sensors for electrocardiogram and heart rate monitoring in the neonatal intensive care unit: a prospective feasibility, safety, and accuracy study.Frontiers in bioengineering and biotechnology · 2025Article
- Exploring Computational Techniques in Preprocessing Neonatal Physiological Signals for Detecting Adverse Outcomes: Scoping Review.Interactive journal of medical research · 2024Article
- A novel higher performance nomogram based on explainable machine learning for predicting mortality risk in stroke patients within 30 days based on clinical features on the first day ICU admission.BMC medical informatics and decision making · 2024Article
- A survey of ictal physical examination during VEEG monitoring in a tertiary epilepsy center.Acta epileptologica · 2024Article
- Cerebral autoregulation in traumatic brain injury: ultra-low-frequency pressure reactivity index and intracranial pressure across age groups.Critical care (London, England) · 2024Article
- The use of information technology to improve interdisciplinary communication during infectious diseases ward rounds on the paediatric intensive care unit.Scientific reports · 2024Observational
- Review of Manpower Management in Healthcare System: Strategies, Challenges, and Innovations.Journal of multidisciplinary healthcare · 2024Review
- Development and validation of a digital biomarker predicting acute kidney injury following cardiac surgery on an hourly basis.JTCVS open · 2023Article
- Exploring the clinical relevance of vital signs statistical calculations from a new-generation clinical information system.Scientific reports · 2023Observational
- ROMI: A Real-Time Optical Digit Recognition Embedded System for Monitoring Patients in Intensive Care Units.Sensors (Basel, Switzerland) · 2023Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
There is a broad consensus that 21st century health care will require intensive use of information technology to acquire and analyze data and then manage and disseminate information extracted from the data. No area is more data intensive than the intensive care unit. While there have been major improvements in intensive care monitoring, the medical industry, for the most part, has not incorporated many of the advances in computer science, biomedical engineering, signal processing, and mathematics that many other industries have embraced. Acquiring, synchronizing, integrating, and analyzing patient data remain frustratingly difficult because of incompatibilities among monitoring equipment, proprietary limitations from industry, and the absence of standard data formatting. In this paper, we will review the history of computers in the intensive care unit along with commonly used monitoring and data acquisition systems, both those commercially available and those being developed for research purposes.
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.