ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium
Inferring Clinical Workflow Efficiency via Electronic Medical Record Utilization.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Using electronic health record audit logs to study clinical activity: a systematic review of aims, measures, and methods.Journal of the American Medical Informatics Association : JAMIA · 2020Pooled it
- Development and Validation of a Workflow Instrument to Evaluate the Success of Electronic Health Records Implementation from a Nursing Perspective: An Exploratory and Descriptive Study.Global journal on quality and safety in healthcare · 2025Article
- Bottleneck factors impacting nurses' workflow and the opportunity to prioritize improvement efforts: factor analysis.BMC nursing · 2024Article
- Barriers and facilitators to the implementation of family cancer history collection tools in oncology clinical practices.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- A Modification of Time-Driven Activity-Based Costing for Comparing Cost of Telehealth and In-Person Visits.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2022Article
- Chatbot for Health Care and Oncology Applications Using Artificial Intelligence and Machine Learning: Systematic Review.JMIR cancer · 2021Review
- An Analysis of Electronic Health Record Work to Manage Asynchronous Clinical Messages among Breast Cancer Care Teams.Applied clinical informatics · 2021Article
- Characterizing physician EHR use with vendor derived data: a feasibility study and cross-sectional analysis.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Mining tasks and task characteristics from electronic health record audit logs with unsupervised machine learning.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Defining an Essential Clinical Dataset for Admission Patient History to Reduce Nursing Documentation Burden.Applied clinical informatics · 2020Article
- Context is Key: Using the Audit Log to Capture Contextual Factors Affecting Stroke Care Processes.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2020Article
- Provider Networks in the Neonatal Intensive Care Unit Associate with Length of Stay.... IEEE Conference on Collaboration and Internet Computing. IEEE Conference on Collaboration and Internet Computing · 2019Article
- Modeling Care Team Structures in the Neonatal Intensive Care Unit through Network Analysis of EHR Audit Logs.Methods of information in medicine · 2019Article
- Obstetric Patients with Repetitious Hospital Location Transfers Have Prolonged Stays.Proceedings. IEEE International Conference on Healthcare Informatics · 2019Article
- Temporal and Atemporal Provider Network Analysis in a Breast Cancer Cohort from an Academic Medical Center (USA).Informatics (MDPI) · 2018Article
- Interaction patterns of trauma providers are associated with length of stay.Journal of the American Medical Informatics Association : JAMIA · 2018Article
- Learning bundled care opportunities from electronic medical records.Journal of biomedical informatics · 2018Article
- Observational
- Using telephony data to facilitate discovery of clinical workflows.Applied clinical informatics · 2017Article
- Predicting Length of Stay for Obstetric Patients via Electronic Medical Records.Studies in health technology and informatics · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Complexity in clinical workflows can lead to inefficiency in making diagnoses, ineffectiveness of treatment plans and uninformed management of healthcare organizations (HCOs). Traditional strategies to manage workflow complexity are based on measuring the gaps between workflows defined by HCO administrators and the actual processes followed by staff in the clinic. However, existing methods tend to neglect the influences of EMR systems on the utilization of workflows, which could be leveraged to optimize workflows facilitated through the EMR. In this paper, we introduce a framework to infer clinical workflows through the utilization of an EMR and show how such workflows roughly partition into four types according to their efficiency. Our framework infers workflows at several levels of granularity through data mining technologies. We study four months of EMR event logs from a large medical center, including 16,569 inpatient stays, and illustrate that over approximately 95% of workflows are efficient and that 80% of patients are on such workflows. At the same time, we show that the remaining 5% of workflows may be inefficient due to a variety of factors, such as complex patients.
Indexed as
Identifiers
26958173PMC4765602What 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.