Detection Algorithm for Inadequate Blood Specimens Due to Contamination with an Infusion Solution in the Clinical Chemistry Tests: Prevention of Incidents by Blood Draw Error.

Clicks: 308
ID: 53328
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #41 of 170 articles by views in Studies in health technology and informatics

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 170 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
The aim of this work is to study the influence of contamination with infusion in clinical chemistry tests and to design an algorithm for detection of inadequate blood specimen. We show that panic value of postassium (K+)/ glucose (GLU) or decrease of total protein (TP), albumin (ALB), urea nitrogen (BUN), uric acid (UA), high-density lipoprotein cholesterol (HDL-C), total cholesterol (T-CHO), and calcium (Ca) is an index of contamination of drip infusion solution. Through a clinical study, we show that our algorithm is useful for preventing adverse medical errors.
Reference Key
nozaka2019detectionstudies Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Nozaka, H;Sazawa, H;Ozaki, E;Nakano, M;Takami, H;
Journal Studies in health technology and informatics
Year 2019
DOI
10.3233/SHTI190688
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.