ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2006
Analyzing the effect of data quality on the accuracy of clinical decision support systems: a computer simulation approach.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 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
29 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Tensions and paradoxes in electronic patient record research: a systematic literature review using the meta-narrative method.The Milbank quarterly · 2009Pooled it
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- A basic model for assessing primary health care electronic medical record data quality.BMC medical informatics and decision making · 2019Article
- Analysis of Anesthesia Screens for Rule-Based Data Quality Assessment Opportunities.Studies in health technology and informatics · 2019Article
- Defining and Developing a Generic Framework for Monitoring Data Quality in Clinical Research.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018Article
- Exploring Data Quality Management within Clinical Trials.Applied clinical informatics · 2018Article
- Registry Data Coordinator (RDC): a Proper Accessible Strategy for Improving Road Traffic Injury (RTI) Hospital Based Trauma Registry Systems in Developing Countries and Low Income Countries.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2018Article
- Emergency Department Clinician Perspectives on the Data Availability to Implement Clinical Decision Support Tools for Five Clinical Practice Guidelines.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2018Article
- A Data Model for Teleconsultation in Managing High-Risk Pregnancies: Design and Preliminary Evaluation.JMIR medical informatics · 2017Article
- Need of informatics in designing interoperable clinical registries.International journal of medical informatics · 2017Article
- Quantifying the Effect of Data Quality on the Validity of an eMeasure.Applied clinical informatics · 2017Article
- A Data Quality Assessment Guideline for Electronic Health Record Data Reuse.EGEMS (Washington, DC) · 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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Clinical decision support systems (CDSS) use data from a variety sources to provide guidance to physicians at the point of care. However, several studies have shown that data from these registries often can not be trusted to be accurate or complete. For instance, studies show that accuracy and completeness in medical registries may be as low as 67% and 30.7%, respectively. Consequently, since CDSS rely on this data for generating guidance, the possibility that the medical decisions facilitated by the system may result in negative patient outcomes still exists. To analyze the extent of this problem, we present a two-pronged approach using simulation, followed by regression in order to quantify the relative impact of poor data quality on overall CDSS accuracy. The results from this analysis can be beneficial to developers and hospitals who can use the results to inform the development of procedures for minimizing incorrect medical decisions facilitated by these systems.
Indexed as
Identifiers
17238356PMC1839724What 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.