ArticleTechnology2018
Automated end-to-end blood testing at the point-of-care: Integration of robotic phlebotomy with downstream sample processing.
Article in Technology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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.
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, 28 citations in OpenAlex.
- Evaluation of Blood-Sampling Performance of Automatic Fingertip-Blood-Sampling System and Correlation Between Fingertip-Blood-Vessel Image and Blood-Sampling Volume.Cardiovascular engineering and technology · 2026Article
- In-Line Enrichment of Cancer Cells from Whole Blood by Cell Self-Organization in Acoustic Fields.Analytical chemistry · 2025Article
- Artificial intelligence in the pre-analytical phase: State-of-the art and future perspectives.Journal of medical biochemistry · 2024Article
- Can I benefit from laboratory automation? A decision aid for the successful introduction of laboratory automation.Analytical and bioanalytical chemistry · 2024Article
- InjectMeAI-Software Module of an Autonomous Injection Humanoid.Sensors (Basel, Switzerland) · 2022Article
- Design and Evaluation of a Handheld Robotic Device for Peripheral Catheterization.Journal of medical devices · 2022Article
- Anemia in salmon aquaculture: Scotland as a case study.Aquaculture (Amsterdam, Netherlands) · 2022Review
- Application of 5G network combined with AI robots in personalized nursing in China: A literature review.Frontiers in public health · 2022Review
- First-in-human evaluation of a hand-held automated venipuncture device for rapid venous blood draws.TechnologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
Diagnostic blood testing is the most commonly performed clinical procedure in the world, and influences the majority of medical decisions made in hospital and laboratory settings. However, manual blood draw success rates are dependent on clinician skill and patient physiology, and results are generated almost exclusively in centralized labs from large-volume samples using labor-intensive analytical techniques. This paper presents a medical device that enables end-to-end blood testing by performing blood draws and providing diagnostic results in a fully automated fashion at the point-of-care. The system couples an image-guided venipuncture robot, developed to address the challenges of routine venous access, with a centrifuge-based blood analyzer to obtain quantitative measurements of hematology. We first demonstrate a white blood cell assay on the analyzer, using a blood mimicking fluid spiked with fluorescent microbeads, where the area of the packed bead layer is correlated with the bead concentration. Next we perform experiments to evaluate the pumping efficiency of the sample handling module. Finally, studies are conducted on the integrated device - from blood draw to analysis - using blood vessel phantoms to assess the accuracy and repeatability of the resulting white blood cell assay.
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What 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.