ArticleJournal of medical toxicology : official journal of the American College of Medical Toxicology2015
Toxicology in the Service of Patient and Medication Safety: a Selected Glance at Past and Present Innovations.
Article in Journal of medical toxicology : official journal of the American College of Medical Toxicology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Enhancing patient safety in the emergency care of poisoned patients: a participatory systems approach.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2026Article
- Essence of toxicology research to Saudi Arabia Vision 2030 and beyond: Current state and future perspectives.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2026Article
- The Value of Medical Toxicologists.Journal of medical toxicology : official journal of the American College of Medical Toxicology · 2025Article
- Characterization of Potential Intoxications with Medicines in a Regional Setting.Pharmaceuticals (Basel, Switzerland) · 2023Article
- Machine Learning to Predict, Detect, and Intervene Older Adults Vulnerable for Adverse Drug Events in the Emergency Department.Journal of medical toxicology : official journal of the American College of Medical Toxicology · 2018Review
- The Toxicology Investigators Consortium Case Registry-the 2015 Experience.Journal of medical toxicology : official journal of the American College of Medical Toxicology · 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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Medical and medication errors remain definite threats to patients in US health care. Medical toxicologists frequently encounter patients either harmed by or at risk for harm from adverse drug events, including medication errors and inadvertent exposures. An historical perspective, as viewed through the lens of specific disciplines, can be useful to trace systemic responses to safety threats. Early efforts to address anesthesia perioperative risks and recent actions in medicine, surgery, and obstetrics to introduce checklists, communication tools, and systems approaches are reviewed. Patient safety concepts can be utilized and disseminated by toxicologists to improve medication safety and drive innovative approaches to confront patient harm. Various approaches include simulation of high-risk scenarios which might predispose to medication error, assembling multidisciplinary groups of health care providers to review events and implement mitigation strategies, and proactive patient safety rounds in clinical areas to allow frontline staff to voice concerns and introduce solutions for administration, evaluation, and implementation. We review selected lessons from the past and current innovations to achieve safe medication practice.
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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.