ArticleJournal of medical biochemistry2022
Error evaluation in the laboratory testing process and laboratory information systems.
Article in Journal of medical biochemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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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
8 citing papers in PubMed.
- Profiling safety behavior in clinical laboratory environments.Frontiers in public health · 2025Article
- Impact of an air bubble within the syringe on test results obtained with a modern blood gas analyzer.Journal of medical biochemistry · 2024Article
- The influence of various sample storage conditions and sample bacterial contamination on concentrations of routine biochemical parameters.Journal of medical biochemistry · 2024Article
- Precision matters: Repeatability and reproducibility of total PSA and homocysteine measurements in Alinity i-system.Journal of medical biochemistry · 2024Article
- Forecasting the consumptions of coagulation tests using a deep learning model.Journal of medical biochemistry · 2024Article
- Reference intervals of biochemical parameters in Chilean adults.Journal of medical biochemistry · 2024Article
- Six SIGMA evaluation of 17 biochemistry parameters using bias calculated from internal quality control and external quality assurance data.Journal of medical biochemistry · 2024Article
- Artificial intelligence in the pre-analytical phase: State-of-the art and future perspectives.Journal of medical biochemistry · 2024Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The laboratory testing process consist of five analysis phases featuring the total testing process framework. Activities in laboratory process, including those of testing are error-prone and affect the use of laboratory information systems. This study seeks to identify error factors related to system use and the first and last phases of the laboratory testing process using a proposed framework known as total testing process-laboratory information systems. Methods: We conducted a qualitative case study evaluation in two private hospitals and a medical laboratory. We collected data using interviews, observations, and document analysis methods involving physicians, nurses, an information technology officer, and the laboratory staff. We employed the proposed framework and Lean problem solving tools namely Value Stream Mapping and A3 for data analysis. Results: Errors in laboratory information systems and the laboratory testing process were attributed to failure to fulfill user requirements, poor cooperation between the information technology unit and laboratory, inconsistency of software design in system integration, errors during inter-system data transmission, and lack of motivation in system use. The error factors are related to system development elements, namely, latent failures that considerably affected the information quality and system use. Errors in system development were also attributed to poor service quality. Conclusions: Complex laboratory testing process and laboratory information systems require rigorous evaluation in minimizing errors and ensuring patient safety. The proposed framework and Lean approach are applicable for evaluating the laboratory testing process and laboratory information systems in a rigorous, comprehensive, and structured manner.
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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.