This is a observational validation study. The Stroke Clinical Decision Support Tool ( InstaDx) , an information technology application will be adapted and developed in accordance to evidence based clinical practice guidelines ( Level IA). Neurology Residents will be using the InstaDx CDST to improve their diagnostic accuracy and the findings will be validated against the review of a stroke subject expert. The study hypothesis is that Clinical Decision Support Tool used by neurology residents will have an agreement of >0.77 when compared to Stroke Expert (gold standard) in diagnosing type of ischemic stroke.
Overall Objective: To adapt, develop and validate the clinical decision support tool, an information technology application to assist acute stroke diagnosis for use among neurology graduate trainees compared to stroke expert (gold standard).
1. To validate the adapted clinical decision support tool, an information technology application to assist acute ischemic stroke diagnosis for use among neurology residents compared to stroke expert (Gold standard) in the adult population presenting at a tertiary care hospital in Pakistan.
The study will be conducted in Emergency department and the Neurology ward at Aga Khan University Hospital. The data collector will enroll the patients meeting the eligibility criteria and providing informed consent. Neurology residents will use the Clinical Decision Support Tool application to assist in acute stroke diagnosis. In the second part, the Stroke Expert will independently assess all diagnosis. The purpose of this would be to validate the Clinical Decision Support Tool application to assist in acute stroke diagnosis.
All men and women greater than or equal to 18 years of age presenting in emergency department with neurological deficit consistent with stroke, fulfilling our eligibility criteria and willing to give voluntary informed consent to participate in the study.
|Type||Measure||Time Frame||Safety Issue|
|Primary||Validation_Primary Outcome Measure_ Sensitivity||Day 1|
|Primary||Validation_ Primary Outcome Measure_Specificity||Day 1|
|Primary||Validation_Primary Outcome Measure_Positive and Negative Predictive Values||Day 1|
- Aga Khan University Lead