Proceedings : a conference of the American Medical Informatics Association / ... AMIA Annual Fall Symposium. AMIA Fall Symposium
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Proc AMIA Annu Fall Symp · Jan 1996
Assessment of a knowledge-acquisition tool for writing Medical Logic Modules in the Arden Syntax.
We have created a tool that allows users unfamiliar with the Arden Syntax and our underlying database to create Medical Logic Modules (MLMs). In a study of this tool (N 16), subjects found it easy to use (mean score - 4.69 on a scale of 1-5, 5 being best). Each subject created 3 MLMs of varying complexity following a protocol. ⋯ Of the 48 MLMs, 47 compiled and executed with appropriate output. Independent manual review of the MLM correlated well and found few errors. We conclude that our tool is easily used by inexperienced persons to write MLMs in the Arden Syntax.
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Proc AMIA Annu Fall Symp · Jan 1996
Designing an emergency medicine physician workstation to support risk management in decision making.
The practice of emergency medicine requires rapid decision making. The speed of decision making in the face of limited information contributes to the high risk of medical malpractice suits. ⋯ Because adaptation and adaptability to physician needs are critical to user acceptance, design to workflow, multisite end user customization, and integrated database support are used to support risk management documentation in EMstation. This article describes techniques that can be incorporated into electronic medical products which may prevent adverse medical events.
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Proc AMIA Annu Fall Symp · Jan 1996
An intelligent learning environment for advanced cardiac life support.
Resuscitation from clinical cardiac arrest is complex and often takes several years to learn. This paper describes an intelligent simulation-based tutor for ACLS which increases students' opportunity to practice before, during and after the ACLS course, thus bridging the gap between studying theory and didactic textbook material and working with patients. ⋯ A formative evaluation with two classes of fourth year medical students suggested that the tutor was helpful, realistic and effective. Positive reactions and strong student involvement with the simulation suggest that this simulation-based tutor may improve learning and retention while decreasing anxiety for most students.