Development of Myelodysplastic Syndrome Clinical Decision Support Tool

Poster Number: P60
Presentation Time: 05:00 PM - 06:30 PM

Abstract Keywords: Clinical Decision Support, Usability, Evaluation
Primary Track: Applications
Programmatic Theme: Clinical Informatics

Medical conditions such as Myelodysplastic Syndrome (MDS) are challenging to diagnose due to its complexity and widely variable expertise in disease recognition and management. We developed a prototype to assist clinicians on appropriate MDS evaluation and management and use heuristic evaluation to further develop a MDS clinical decision support tool. We aim to analyze the content of the clinical decision support tool using Delphi method before its implementation.

Speaker(s):
John Muthu, Physician/MD
SUNY Downstate Health Sciences University

Author(s):
Mohammad Faysel, PhD - SUNY Downstate Health Sciences University; David Kaufman, PhD - SUNY Downstate Health Sciences University; Edwin Chiu, MD - SUNY Downstate Health Sciences University;