ReviewFrontiers in digital health2022
Computational approaches to alleviate alarm fatigue in intensive care medicine: A systematic literature review.
Review in Frontiers in digital health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 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
23 citing papers in PubMed, 40 citations in OpenAlex.
- Smart Cardiac ICU: Digital Integration, Predictive Analytics, and Perioperative Inflammation.Bioengineering (Basel, Switzerland) · 2026Review
- Real-time prediction of trauma-induced coagulopathy using an inverted transformer (trauma-former): a methodological feasibility and simulation study based on the ADEMP framework.BMC medical research methodology · 2026Article
- Prediction of Adverse Events in Single Ventricle Physiology Infants Using Artificial Intelligence Tools.Critical care explorations · 2026Article
- Human-centered digital ecosystem: safeguarding healthcare workers' sleep, ergonomics, and occupational health.Frontiers in public health · 2026Article
- Nano-Enabled Microfluidic Platforms for Functional Immunomonitoring in Pediatric Sepsis.International journal of nanomedicine · 2026Review
- Prospective economic evaluation of a predictive artificial intelligence model for sepsis: Effects on hospital costs and return on investment.PLOS global public health · 2026Article
- AI-Enabled Precision Nutrition in the ICU: A Narrative Review and Implementation Roadmap.Nutrients · 2025Review
- Transforming neonatal care through informatics: A review of artificial intelligence, data, and implementation considerations.Seminars in perinatology · 2025Review
- Context-Aware Alerting in Elderly Care Facilities: A Hybrid Framework Integrating LLM Reasoning with Rule-Based Logic.Sensors (Basel, Switzerland) · 2025Article
- Understanding the Role of Clinical Decision Support Systems Among Hospital Nurses Using the FITT (Fit Between Individuals, Tasks, and Technology) Framework: Qualitative Study.Journal of medical Internet research · 2025Article
- Alarm fatigue in healthcare: a scoping review of definitions, influencing factors, and mitigation strategies.BMC nursing · 2025Article
- Developing a Scalable Annotation Method for Large Datasets That Enhances Alarms With Actionability Data to Increase Informativeness: Mixed Methods Approach.Journal of medical Internet research · 2025Article
- Nurses' Alarm Fatigue Levels in Adult Intensive Care Units and Their Strategies to Reduce Fatigue: A Convergent Parallel Design.Journal of clinical nursing · 2025Observational
- A framework for integrating artificial intelligence for clinical care with continuous therapeutic monitoring.Nature biomedical engineering · 2025Review
- Letter to the Editor on "From Concept to Clinic: Living Labs and Regulatory Sandboxes for Health System Digitalization and the Integration of Innovative Devices Into Clinical Workflows".IEEE journal of translational engineering in health and medicine · 2025Article
- Evidence-based practices for prevention and management of medical device alarm fatigue in anesthesia professionals.Frontiers in medicine · 2025Article
- Evaluating the Construct Validity of the Charité Alarm Fatigue Questionnaire using Confirmatory Factor Analysis.JMIR human factors · 2024Article
- Alarm Management in Intensive Care: Qualitative Triangulation Study.JMIR human factors · 2024Article
- Machine learning for healthcare that matters: Reorienting from technical novelty to equitable impact.PLOS digital health · 2024Article
- 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
7 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Patient monitoring technology has been used to guide therapy and alert staff when a vital sign leaves a predefined range in the intensive care unit (ICU) for decades. However, large amounts of technically false or clinically irrelevant alarms provoke alarm fatigue in staff leading to desensitisation towards critical alarms. With this systematic review, we are following the Preferred Reporting Items for Systematic Reviews (PRISMA) checklist in order to summarise scientific efforts that aimed to develop IT systems to reduce alarm fatigue in ICUs. 69 peer-reviewed publications were included. The majority of publications targeted the avoidance of technically false alarms, while the remainder focused on prediction of patient deterioration or alarm presentation. The investigated alarm types were mostly associated with heart rate or arrhythmia, followed by arterial blood pressure, oxygen saturation, and respiratory rate. Most publications focused on the development of software solutions, some on wearables, smartphones, or headmounted displays for delivering alarms to staff. The most commonly used statistical models were tree-based. In conclusion, we found strong evidence that alarm fatigue can be alleviated by IT-based solutions. However, future efforts should focus more on the avoidance of clinically non-actionable alarms which could be accelerated by improving the data availability.
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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.