ArticleAnnals of the American Thoracic Society2018
Human Cognitive Limitations. Broad, Consistent, Clinical Application of Physiological Principles Will Require Decision Support.
Article in Annals of the American Thoracic Society, 2018. 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.
- Moving from bytes to bedside: a systematic review on the use of artificial intelligence in the intensive care unit.Intensive care medicine · 2021Pooled it
- Failing on Both Sides of the Infarct: Lipid-Lowering Therapy and the Delivery Gap.JACC. Advances · 2026Article
- Development and validation of a dynamic early warning system with time-varying machine learning models for predicting hemodynamic instability in critical care: a multicohort study.Critical care (London, England) · 2025Article
- Early detection of ICU-acquired infections using high-frequency electronic health record data.BMC medical informatics and decision making · 2025Article
- Expectations of Anesthesiology and Intensive Care Professionals Toward Artificial Intelligence: Observational Study.JMIR formative research · 2023Article
- Transparent decision support for mechanical ventilation using visualization of clinical preferences.Biomedical engineering online · 2022Article
- Enabling a learning healthcare system with automated computer protocols that produce replicable and personalized clinician actions.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Artificial Intelligence in the Intensive Care Unit.Critical care (London, England) · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
Our education system seems to fail to enable clinicians to broadly understand core physiological principles. The emphasis on reductionist science, including "omics" branches of research, has likely contributed to this decrease in understanding. Consequently, clinicians cannot be expected to consistently make clinical decisions linked to best physiological evidence. This is a large-scale problem with multiple determinants, within an even larger clinical decision problem: the failure of clinicians to consistently link their decisions to best evidence. Clinicians, like all human decision-makers, suffer from significant cognitive limitations. Detailed context-sensitive computer protocols can generate personalized medicine instructions that are well matched to individual patient needs over time and can partially resolve this problem.
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.