ArticleJournal of medical Internet research2019
Data Challenges With Real-Time Safety Event Detection And Clinical Decision Support.
Article in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Implementation of patient safety monitoring systems in hospitals: a systematic review.BMJ health & care informatics · 2025Pooled it
- Hinge-FM2I: an approach using image inpainting for interpolating missing data in univariate time series.Scientific reports · 2025Article
- Exploring the COVID-19 Pandemic as a Catalyst for Behavior Change Among Patient Health Record App Users in Taiwan: Development and Usability Study.Journal of medical Internet research · 2022Article
- Subcategorizing EHR diagnosis codes to improve clinical application of machine learning models.International journal of medical informatics · 2021Article
- Artificial intelligence projects in healthcare: 10 practical tips for success in a clinical environment.BMJ health & care informatics · 2021Review
- What Oncologists Want: Identifying Challenges and Preferences on Diagnosis Data Entry to Reduce EHR-Induced Burden and Improve Clinical Data Quality.JCO clinical cancer informatics · 2021Article
- The Generalizability of a Medication Administration Discrepancy Detection System: Quantitative Comparative Analysis.JMIR medical informatics · 2020Article
- Integrating and Evaluating the Data Quality and Utility of Smart Pump Information in Detecting Medication Administration Errors: Evaluation Study.JMIR medical informatics · 2020Article
- Common Data Elements for Acute Coronary Syndrome: Analysis Based on the Unified Medical Language System.JMIR medical informatics · 2019Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
backgroundThe continued digitization and maturation of health care information technology has made access to real-time data easier and feasible for more health care organizations. With this increased availability, the promise of using data to algorithmically detect health care-related events in real-time has become more of a reality. However, as more researchers and clinicians utilize real-time data delivery capabilities, it has become apparent that simply gaining access to the data is not a panacea, and some unique data challenges have emerged to the forefront in the process.
objectiveThe aim of this viewpoint was to highlight some of the challenges that are germane to real-time processing of health care system-generated data and the accurate interpretation of the results.
methodsDistinct challenges related to the use and processing of real-time data for safety event detection were compiled and reported by several informatics and clinical experts at a quaternary pediatric academic institution. The challenges were collated from the experiences of the researchers implementing real-time event detection on more than half a dozen distinct projects. The challenges have been presented in a challenge category-specific challenge-example format.
resultsIn total, 8 major types of challenge categories were reported, with 13 specific challenges and 9 specific examples detailed to provide a context for the challenges. The examples reported are anchored to a specific project using medication order, medication administration record, and smart infusion pump data to detect discrepancies and errors between the 3 datasets.
conclusionsThe use of real-time data to drive safety event detection and clinical decision support is extremely powerful, but it presents its own set of challenges that include data quality and technical complexity. These challenges must be recognized and accommodated for if the full promise of accurate, real-time safety event clinical decision support is to be realized.
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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.