ClinicalTrials.gov
public full text
Public Domain
Investigating Wrong-Patient Computerized Physician Order Entry (CPOE) Errors
With the increased adoption of CPOE systems, it is important to recognize that design flaws have resulted in the creation of new types of iatrogenic medical errors. An example of a new type of iatrogenic medical error introduced by CPOE systems has been named "juxtaposition errors". Juxtaposition errors, as defined by Ash, et al. are "errors that can result when something is close to something else on the screen, and the wrong option is too easily clicked in error." Juxtaposition errors can lead to a patient receiving a medication, a test, or a treatment intended for another patient, sometimes with dire consequences. Juxtaposition errors are likely a subclass of a broader group of wrong-patient CPOE errors that have multiple etiologies. The primary objectives of this research proposal is to investigate the prevalence of wrong-patient near miss CPOE errors, to investigate the root cause of these errors, and to investigate and compare the efficacy and workflow impact of two distinct interventions to prevent these errors.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Reducing Prescription Errors Through Information Intervention: A Field Experiment in Healthcare Operations#1123222
- Reliable Misrepresentation and Teleosemantics#117476
- Introducing Electronic Alerts to Reduce Inappropriate Digoxin Prescribing in Older Adults#1088265
- Conservative management of brain arteriovenous malformations: results of the prospective observation registry of a pragmatic trial#26108
- Perancangan Failure-Aware Self-Healing Workflow pada Sistem Event-Driven untuk Pemulihan Proses Layanan Digital Secara Otomatis#481145
Record · ID 828052
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive