Using algorithmic practice maps to teach emergency preparedness skills to nurses.
In 2004, The George Washington University received funding from the U.S. Department of Homeland Security to develop a web-based emergency preparedness course for nurses. The purpose of the course was to provide training that would be accessible regardless of work setting or location. In designing the course, the development team used algorithmic decision making as a conceptual framework to transcend the linear, didactic focus of traditional online preparedness training to provide learners with a learning experience crafted around the decision-making process. This article describes the design of the algorithmic practice maps underlying this course and provides a replicable structure for those interested in developing similar offerings for nurses.
The George Washington University School of Nursing, Washington, DC 20037, USA. acqua@gwu.edu
Kimberly D
KD
Acquaviva
Laurie
L
Posey
Ellen M
EM
Dawson
Jean E
JE
Johnson
D000465:Algorithms; D004509:Education, Nursing, Continuing / Q000379:methods*; D016529:Emergency Nursing / Q000193:education* / Q000379:methods; D006801:Humans; D016294:Models, Nursing; D009741:Nursing Staff, Hospital / Q000193:education*; D013192:Staff Development / Q000379:methods*