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Diagnostics
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Visualization Technology in Point-of-Care Diagnostics
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Visualization Technology in Point-of-Care Diagnostics

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Point-of-Care Diagnostics and Devices".

Deadline for manuscript submissions: 31 July 2024 | Viewed by 1425

Special Issue Editor

Dr. David W. Tscholl

E-Mail Website
Guest Editor
Institute of Anaesthesiology, University Hospital Zurich, Frauenklinikstrasse 10, 8091 Zurich, Switzerland
Interests: visualization technologies; situation awareness; user-centered design; patient monitoring; intensive care unit; operating room; perioperative medicine; patient safety

Special Issue Information

Dear Colleagues,

The utilization of visualization technology in point-of-care diagnostics has been on a rapid rise. Manufacturers are adopting these technologies to enhance the interaction between their devices and healthcare providers. Examples of products that have become available on the market in the past few years include the Philips Visual Patient Avatar, Mindray Hemoview, Edwards Physiology View, Hamilton Dynamic Lung and Alert Watch. However, these technologies still require further research to substantiate their effectiveness and advantages for patients and care providers.

This Special Issue welcomes submissions covering the whole spectrum of visualization technology in the point-of-care context, including preclinical survey studies focusing on specific technologies, further advancements in those technologies, clinical outcome analyses related to medical visualizations and reviews. We invite contributions that delve into these areas. The aim of the visualization technologies highlighted in this Special Issue should be to elevate diagnostics beyond the current state of the art by effectively presenting medical data to human users.

Dr. David W. Tscholl
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Diagnostics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • point-of-care diagnostics
  • visualization technology
  • healthcare
  • medical data
  • clinical outcome analyses

Published Papers (2 papers)

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Research

15 pages, 3315 KiB  
Article
Point-of-Care Diagnostic System for Viable Salmonella Species via Improved Propidium Monoazide and Recombinase Polymerase Amplification Based Nucleic Acid Lateral Flow
by So-Young Lee and Se-Wook Oh
Diagnostics 2024, 14(8), 831; https://doi.org/10.3390/diagnostics14080831 - 17 Apr 2024
Viewed by 350
Abstract
Salmonella species are prominent foodborne microbial pathogens transmitted through contaminated food or water and pose a significant threat to human health. Accurate and rapid point-of-care (POC) diagnosis is gaining attention in effectively preventing outbreaks of foodborne disease. However, the presence of dead bacteria [...] Read more.
Salmonella species are prominent foodborne microbial pathogens transmitted through contaminated food or water and pose a significant threat to human health. Accurate and rapid point-of-care (POC) diagnosis is gaining attention in effectively preventing outbreaks of foodborne disease. However, the presence of dead bacteria can interfere with an accurate diagnosis, necessitating the development of methods for the rapid, simple, and efficient detection of viable bacteria only. Herein, we used an improved propidium monoazide (PMAxx) to develop a nucleic acid lateral flow (NALF) assay based on recombinase polymerase amplification (RPA) to differentiate viable Salmonella Typhimurium. We selected an RPA primer set targeting the invA gene and designed a probe for NALF. RPA-based NALF was optimized for temperature (30–43 °C), time (1–25 min), and endonuclease IV concentration (0.025–0.15 unit/µL). PMAxx successfully eliminated false-positive results from dead S. Typhimurium, enabling the accurate detection of viable S. Typhimurium with a detection limit of 1.11 × 102 CFU/mL in pure culture. The developed method was evaluated with spiked raw chicken breast and milk with analysis completed within 25 min at 39 °C. This study has potential as a tool for the POC diagnostics of viable foodborne pathogens with high specificity, sensitivity, rapidity, and cost-effectiveness. Full article
(This article belongs to the Special Issue Visualization Technology in Point-of-Care Diagnostics)
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12 pages, 1577 KiB  
Article
User Perceptions of Visual Blood: An International Mixed Methods Study on Novel Blood Gas Analysis Visualization
by Greta Gasciauskaite, Justyna Lunkiewicz, Giovanna Schweiger, Alexandra D. Budowski, David Henckert, Tadzio R. Roche, Lisa Bergauer, Patrick Meybohm, Sebastian Hottenrott, Kai Zacharowski, Florian Jürgen Raimann, Eva Rivas, Manuel López-Baamonde, Michael Thomas Ganter, Tanja Schmidt, Christoph B. Nöthiger, David W. Tscholl and Samira Akbas
Diagnostics 2023, 13(19), 3103; https://doi.org/10.3390/diagnostics13193103 - 30 Sep 2023
Viewed by 736
Abstract
Blood gas analysis plays a central role in modern medicine. Advances in technology have expanded the range of available parameters and increased the complexity of their interpretation. By applying user-centered design principles, it is possible to reduce the cognitive load associated with interpreting [...] Read more.
Blood gas analysis plays a central role in modern medicine. Advances in technology have expanded the range of available parameters and increased the complexity of their interpretation. By applying user-centered design principles, it is possible to reduce the cognitive load associated with interpreting blood gas analysis. In this international, multicenter study, we explored anesthesiologists’ perspectives on Visual Blood, a novel visualization technique for presenting blood gas analysis results. We conducted interviews with participants following two computer-based simulation studies, the first utilizing virtual reality (VR) (50 participants) and the second without VR (70 participants). Employing the template approach, we identified key themes in the interview responses and formulated six statements, which were rated using Likert scales from 1 (strongly disagree) to 5 (strongly agree) in an online questionnaire. The most frequently mentioned theme was the positive usability features of Visual Blood. The online survey revealed that participants found Visual Blood to be an intuitive method for interpreting blood gas analysis (median 4, interquartile range (IQR) 4-4, p < 0.001). Participants noted that minimal training was required to effectively learn how to interpret Visual Blood (median 4, IQR 4-4, p < 0.001). However, adjustments are necessary to reduce visual overload (median 4, IQR 2-4, p < 0.001). Overall, Visual Blood received a favorable response. The strengths and weaknesses derived from these data will help optimize future versions of Visual Blood to improve the presentation of blood gas analysis results. Full article
(This article belongs to the Special Issue Visualization Technology in Point-of-Care Diagnostics)
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