Technology Listings

Algorithm and Software Application for the Diagnosis of Adverse Reactions to Blood Transfusion


Web-based and mobile application based on the National Healthcare Safety Network’s Biovigilance Component Hemovigilance Module Surveillance Protocol to aid in the identification of adverse reactions to transfusions easily and accurately.

Key Benefits
  • Provides a quick, easy, and accurate method to identify transfusion reactions according to national guidelines.
  • Allows easy classification of the causes of these adverse reactions according to the guidelines of the Hemovigilance Module.
Market Summary

As recently as 2010, the United States was the only developed country that did not have an established method to track and monitor adverse events associated with blood transfusion on a national level. However, in 2011 the CDC and AABB developed the Hemovigilance Module to help healthcare providers identify and classify transfusion reactions. The module was launched within the National Healthcare Safety Network, an internet-based surveillance system that allows transfusion data to be tracked and analyzed, which will enable the CDC and healthcare facilities to maximize tracking, monitoring, and prevention efforts. Unfortunately, the module document that has been created is not user-friendly and is long, unwieldy, and time-consuming.

Technical Summary

The diagnosis of adverse reactions to blood transfusion is a complicated, subjective, and inexact practice. There is a growing movement to compile and analyze these data both nationally and worldwide to give practitioners a clearer view of the frequency and severity of each type of reaction. These types of national / international “hemovigilance” registries allow public health experts to track changes in transfusion reaction demographics in order to identify novel viruses or other infectious agents in the blood donor pool or other changes that could signal compromised blood supplies. Emory researchers created web and mobile applications based on the CDC Hemovigilance Module. The Emory linear algorithm utilizes key diagnostic criteria for each distinct type of transfusion reaction to lead even an inexperienced user through a set of questions resulting in accurate diagnoses of each reaction according to the CDC criteria. The goal of this user-friendly application is to promote the accurate categorization of transfusion reactions and a compilation of data that is accurate and meaningful.

Developmental Stage

Application has been developed and is available at this website.

Patent Information
Tech ID: 14022
Published: 4/11/2014

Jessica Beach
Marketing Specialist
Emory University, Office of Technology Transfer
(404) 727-1899

John Roback
Geoffrey Smith

Hematology/Blood Products