ArticleJournal of the American Medical Informatics Association : JAMIA2017
Leveraging electronic health record documentation for Failure Mode and Effects Analysis team identification.
Article in Journal of the American Medical Informatics Association : JAMIA, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
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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, 1 synthesis or guideline pooled it.
- Process mapping in healthcare: a systematic review.BMC health services research · 2021Pooled it
- Process Mapping to Compare and Improve Management of Abnormal Cervical Cancer Screening Results in Two US Healthcare Systems within the PROSPR Consortium.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025Article
- Process mapping with failure mode and effects analysis to identify determinants of implementation in healthcare settings: a guide.Implementation science communications · 2024Article
- The Use of Electronic Health Record Metadata to Identify Nurse-Patient Assignments in the Intensive Care Unit: Algorithm Development and Validation.JMIR medical informatics · 2022Article
- Teaching Medical Students Health Care Failure Mode and Effect Analysis: A Case Study of Inpatient Pain Management Computerized Decision Support.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2021Article
- Characterizing Teamwork in Cardiovascular Care Outcomes: A Network Analytics Approach.Circulation. Cardiovascular quality and outcomes · 2016Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
objectiveUsing Failure Mode and Effects Analysis (FMEA) as an example quality improvement approach, our objective was to evaluate whether secondary use of orders, forms, and notes recorded by the electronic health record (EHR) during daily practice can enhance the accuracy of process maps used to guide improvement. We examined discrepancies between expected and observed activities and individuals involved in a high-risk process and devised diagnostic measures for understanding discrepancies that may be used to inform quality improvement planning.
methodsInpatient cardiology unit staff developed a process map of discharge from the unit. We matched activities and providers identified on the process map to EHR data. Using four diagnostic measures, we analyzed discrepancies between expectation and observation.
resultsEHR data showed that 35% of activities were completed by unexpected providers, including providers from 12 categories not identified as part of the discharge workflow. The EHR also revealed sub-components of process activities not identified on the process map. Additional information from the EHR was used to revise the process map and show differences between expectation and observation.
conclusionFindings suggest EHR data may reveal gaps in process maps used for quality improvement and identify characteristics about workflow activities that can identify perspectives for inclusion in an FMEA. Organizations with access to EHR data may be able to leverage clinical documentation to enhance process maps used for quality improvement. While focused on FMEA protocols, findings from this study may be applicable to other quality activities that require process maps.
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Registered trials
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