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G lobal  I nfectious  D isease and  E pidemiology  O nline  N etwork GIDEON By Abel Medhanie Gebreyesus Sunil Nair HINF6230 – Technology Assessment
Important Facts ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
GIDEON ,[object Object],[object Object],[object Object],[object Object],[object Object]
GIDEON Users ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Highlights ,[object Object],[object Object],[object Object],[object Object]
GIDEON Modules ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
DIAGNOSIS
EPIDEMIOLOGY
THERAPY
MICROBIOLOGY
DEMO ,[object Object],[object Object]
HOW GIDEON WORKS ,[object Object],[object Object],[object Object],[object Object]
GIDEON Model MEDICAL EXPERT KNOWLEDGE DATA BASE BAYESIAN NETWORK INFERENCE ENGINE USER  INTERFACE END USER
 
Bayesian Theorem ,[object Object],[object Object],[object Object],[object Object],[object Object]
Comparison n=86, Accuracy of clinical diagnosis  33%  compared to Medical officers with 87% correct diagnosis.  DD, Updated weekly. info on epidemiology, therapy and Microbiology  GIDEON  n=103, Accurately diagnosed  73%  cases.  Provides DD based on clinician entered Signs & Symptoms. Updated weekly.  Dxplain  n=295, Accurately diagnosed  75%  cases. Clinical diagnosis listed in 94.7% cases.  Provide DD, general info on pathogens and vaccines of Infectious Diseases  Computer Program for Diagnosing and Teaching Geographic Medicine  Evaluation*   Purpose   System Name
LIMITATIONS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Conclusion ,[object Object],[object Object],[object Object]
References ,[object Object],[object Object],[object Object],[object Object],[object Object]

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Healthcare Technology Assessment Gideon Presentation - Sunil Nair Health Informatics Dalhousie University

  • 1. G lobal I nfectious D isease and E pidemiology O nline N etwork GIDEON By Abel Medhanie Gebreyesus Sunil Nair HINF6230 – Technology Assessment
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  • 13. GIDEON Model MEDICAL EXPERT KNOWLEDGE DATA BASE BAYESIAN NETWORK INFERENCE ENGINE USER INTERFACE END USER
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  • 16. Comparison n=86, Accuracy of clinical diagnosis 33% compared to Medical officers with 87% correct diagnosis. DD, Updated weekly. info on epidemiology, therapy and Microbiology GIDEON n=103, Accurately diagnosed 73% cases. Provides DD based on clinician entered Signs & Symptoms. Updated weekly. Dxplain n=295, Accurately diagnosed 75% cases. Clinical diagnosis listed in 94.7% cases. Provide DD, general info on pathogens and vaccines of Infectious Diseases Computer Program for Diagnosing and Teaching Geographic Medicine Evaluation* Purpose System Name
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