ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2021
Teaching Medical Students Health Care Failure Mode and Effect Analysis: A Case Study of Inpatient Pain Management Computerized Decision Support.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Applying healthcare failure mode and effect analysis to enhance patient-controlled analgesia in acute post anesthesia pain management.Frontiers in medicine · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There is a pressing need to provide health professional leaners experiential learning opportunities in health systems science and quality improvement. Moreover, there are several published tools to diagnose and treat health system vulnerabilities and hazards. The Health Care Failure Mode and Effect AnalysisTM (HFMEA) is a systems-engineering tool that the military and aerospace industries developed to proactively identify potential errors. While this technique has been used in a range of healthcare settings, there are few reports where health professional educators have used it with learners to teach quality improvement and systems engineering methods. We describe herewith an application of HFMEA in a medical informatics professional student rotation. In this manuscript, we briefly review HFMEA theory and methods, illustrate its application to address a quality improvement initiative, and reflect upon its value - and limitations - when used in an educational context.
Indexed as
Identifiers
35308975PMC8861736What 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.