Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Computer-based blood donor screening: a status report.

Louis M Katz1, Paul D Cumming, Edward L Wallace

  • 1Medical Affairs, Mississippi Valley Regional Blood Center, Davenport, IA 52807, USA.

Transfusion Medicine Reviews
|December 19, 2006
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Animal vaccine strain Brucella abortus infection in a plateletpheresis donor: A case report.

Transfusion·2024
Same author

Proceedings of the 2022 NHLBI and OASH state of the science in transfusion medicine symposium.

Transfusion·2023
Same author

Beyond COVID-19 and lessons learned in the United States.

Transfusion medicine (Oxford, England)·2022
Same author

Powassan virus: What is the risk to the blood supply?

Transfusion·2021
Same author

Blood Product (Donor) Noninfectious and Infectious Testing and Modification.

Clinics in laboratory medicine·2021
Same author

Blood transfusion trends in the United States: national inpatient sample, 2015 to 2018.

Blood advances·2021
Same journal

Assessment of CTLA-4, LAG-3, and TIM-3 Expression in Pediatric Patients With β-Thalassemia Major and Their Association With Alloimmunization.

Transfusion medicine reviews·2026
Same journal

A Reply to "Beyond Implementation: The Need for Validation, Equity, and Real-World Accountability in AI for Transfusion Medicine".

Transfusion medicine reviews·2026
Same journal

Beyond Implementation: The Need for Validation, Equity, and Real-World Accountability in AI for Transfusion Medicine.

Transfusion medicine reviews·2026
Same journal

Trust Over Knowledge: Rethinking Donor Iron Supplementation Strategies in Modern Blood Services-Authors' reply.

Transfusion medicine reviews·2026
Same journal

The Effect of Stress Ball and Music on Anxiety, Distress, and Pain Levels During Platelet Apheresis Donation: Randomized Controlled Trial.

Transfusion medicine reviews·2026
Same journal

Therapeutic Plateletpheresis for Thrombocytosis: Critical Analytic Reviews and Original Multicenter Experience.

Transfusion medicine reviews·2026
See all related articles

Computer-assisted interviews enhance blood donor screening by eliciting more risk behaviors and improving satisfaction. Automated systems reduce errors compared to traditional methods, ensuring safer blood donations.

Area of Science:

  • Medical Interviewing
  • Public Health
  • Biotechnology

Background:

  • Traditional blood donor screening methods face challenges in eliciting sensitive information.
  • Computer-assisted interviewing (CAI) shows promise for improving data collection in sensitive contexts.
  • Transfusion-transmissible infections remain a significant concern in blood transfusion safety.

Purpose of the Study:

  • To review developments in blood donor history screening.
  • To evaluate the evidence supporting the use of automated interviews in this context.
  • To summarize experiences with computer-assisted interviewing in blood donation.

Main Methods:

  • Review of existing literature on CAI and blood donor screening.
  • Analysis of data from studies using computer interviews for blood donation.

Related Experiment Videos

  • Description of Food and Drug Administration-cleared CAI systems.

    • Main Results:

    • CAI increases the elicitation of behaviors linked to transfusion-transmissible infection risk.
    • Automated interviews improve donor and staff satisfaction.
    • CAI reduces errors and omissions common in traditional interviewing.

    Conclusions:

    • Computer-assisted interviewing is advantageous for blood donor history screening.
    • Automated systems enhance the safety and efficiency of blood donation processes.
    • CAI contributes to a safer blood supply by improving risk behavior identification.