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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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Evaluation of immunohematology knowledge in hematology trainees

Matthew T S Yan1, Valerie Arsenault2, Jacob Pendergrast2,3

  • 1BC & Yukon Centre, Canadian Blood Services, Vancouver, British Columbia, Canada.

Transfusion
|June 1, 2019
PubMed

Insights

A new exam assesses Canadian hematology trainees

Area of Science:

  • Immunohematology and Transfusion Medicine
  • Medical Education and Trainee Assessment

Background:

  • Canadian hematology trainees require expertise in red blood cell and platelet antigen systems and transfusion medicine principles.
  • The specific level of blood bank serology expertise needed for trainees remains undefined.

Purpose of the Study:

  • To define and assess the expected level of knowledge in immunohematology among Canadian hematology trainees.
  • To develop and validate a standardized examination for evaluating trainee competency in transfusion medicine.

Main Methods:

  • A modified Delphi approach with program directors identified 12 key immunohematology topics.
  • A multiple-choice examination was developed and validated across 13 Canadian hematology training programs.
  • Rasch analysis was used for examination validation, followed by deployment to assess trainee knowledge.

Main Results:

  • The validated exam demonstrated high reliability (0.93) and discriminated between training levels.
  • Advanced trainees performed significantly better than junior trainees (p < 0.01).
  • Overall mean trainee score was 58.9%, with lowest performance in antibody investigations and D variants.

Conclusions:

  • A standardized exam for assessing transfusion immunohematology knowledge in hematology trainees has been successfully developed.
  • The exam can evaluate the effectiveness of educational resources in this specialized field.
  • Low overall scores indicate a need for enhanced educational initiatives in transfusion medicine for trainees.
Abstract

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