The DOI matches its Crossref record.
An organisation with a memory
Open accessAbstract
Patient safety has been an under-recognised and under-researched concept until recently. It is now high on the healthcare quality agenda in many countries of the world including the UK. The recognition that human error is inevitable in a highly complex and technical field like medicine is a first step in promoting greater awareness of the importance of systems failure in the causation of accidents. Plane crashes are not usually caused by pilot error per se but by an amalgam of technical, environmental, organisational, social and communication factors which predispose to human error or worsen its consequences. In healthcare, the systematic investigation of error in the administration of medication will often reveal similarly complex causation. Experience and research from other sectors, in particular the airline industry, show that the impact of human error can be reduced if the necessary work is put in to detect and then remove weaknesses and vulnerabilties in the system. The NHS is putting in place a comprehensive programme to learn more effectively from adverse events and near misses. This aims to reduce the burden of the estimated 850,000 adverse events which occur in hospitals each year as well as targeting high risk areas such as medication error.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Measuring errors and adverse events in health care
Thomas, E. J., & Petersen, L. A. (2003) · Journal of General Internal Medicine · doi:10.1046/j.1525-1497.2003.20147.x · Cited by 455
Beyond Blame: Cultural Barriers to Medical Incident Reporting
Waring, J. J. (2005) · Social Science & Medicine · doi:10.1016/j.socscimed.2004.08.055 · Cited by 386
Lawton, R., McEachan, R. R. C., Giles, S. J., Sirriyeh, R., Watt, I. S., & Wright, J. (2012) · BMJ Quality & Safety · doi:10.1136/bmjqs-2011-000443 · Cited by 311
Systematic Review of Medication Errors in Pediatric Patients
Ghaleb, M. A., Barber, N., Franklin, B. D., Yeung, V. W., Khaki, Z. F., & Wong, I. C. (2006) · Annals of Pharmacotherapy · doi:10.1345/aph.1g717 · Cited by 256
Corny, J., Rajkumar, A., Martin, O., Dode, X., Lajonchère, J.-P., Billuart, O., Bézie, Y., & Buronfosse, A. (2020) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocaa154 · Cited by 225
Metadata
- Authors
- Donaldson, L.
- Venue
- Clinical Medicine
- Publisher
- Elsevier BV
- Published
- 2002-09
- Volume
- 2
- Issue
- 5
- Pages
- 452-457
- ISSN
- 1470-2118 (ISSN-L)
- OpenAlex
- W2113629162
- Cited by
- 577
- References
- 0
- FWCI
- 56.74
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: An organisation with a memory. https://app.cochat.ai/papers/10.7861/clinmedicine.2-5-452
- The paper
- Donaldson, L. (2002). An organisation with a memory. Clinical Medicine. https://doi.org/10.7861/clinmedicine.2-5-452
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.