The fetal imaging workstation demonstration project.
Congenital birth defects are a leading cause of infant mortality. Early detection of fetal anomalies by prenatal ultrasound may improve clinical outcome in selected cases. However, many training programs are hindered by curriculum weaknesses which include: (1) limited physician exposure to ultrasound anomalies; (2) inadequate postnatal correlation with prenatal findings; (3) constraints imposed by static images for ultrasound training; and (4) difficulty with understanding complex three-dimensional anatomy. The Fetal Imaging Workstation Demonstration Project addresses these problems by illustrating how computers can supplement traditional prenatal ultrasound training through interactive multimedia. The project uses a laserdisc library of ultrasound video images as source material for a variety of interactive software tutorials. An educational testing module has been developed that can evaluate diagnostic skills through simulated ultrasound studies provided by the laserdisc library. An interactive three-dimensional fetal heart model also provides a new way for physicians to better understand their two-dimensional ultrasound studies. A survey suggests that this prototype has been widely accepted by housestaff physicians and that there is a perceived need for this supplementary training. Future work will address the educational effectiveness of these materials and will consider cost-effective ways to disseminate the software for other institutions. However, future development must be implemented against a background of rapidly emerging technologies involving faster computers, digital video, and virtual reality applications.
Lee
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Division of Fetal Imaging, William Beaumont Hospital, Royal Oak, MI 48073, USA.
D003199:Computer Systems; D003194:Computer-Assisted Instruction; D004502:Education, Medical, Continuing; D005260:Female; D006801:Humans; D008505:Medical Staff, Hospital; D019212:Multimedia; D009774:Obstetrics / Q000193:education*; D011247:Pregnancy; D016216:Ultrasonography, Prenatal