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Handheld-Based Decision Support in Trauma Medicine. Blaž Zupan Faculty of Computer Science, University of Ljubljana Baylor College of Medicine, Housto n. Examples of Medical Decision Support. Probability of recurrence after radical prostatectomy
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Handheld-Based Decision Supportin Trauma Medicine Blaž Zupan Faculty of Computer Science, University of Ljubljana Baylor College of Medicine, Houston
Examples ofMedical Decision Support • Probability of recurrence after radical prostatectomy • Predicting patient’s long term clinical status after hip arthroplasty • Wrist injuries: should we operate?
Why? • Second opinion • Systematic approach • Decision analysis • which factors are important • how do they influence the decision • Prognosis, • Treatment planning, • Diagnosis, ...
Why handhelds? • Handhelds are practical • Decision support tool should be available wherever decision takes place • They provide enough computing power
Decision Support Models data (EPR, clinical data bases, ...) decisionsupportmodel statistical analysis data mining background (expert) knowledge patient’s data decision (prognosis, diagnosis, treatment plan, ...)
Sucess Story: Prostogram • MW Kattan, P Fern: From 1999 in regular use at Memorial Sloan-Kettering Hospital and BCM
Decision Support Shellon Palm(TM) decision support models in XML statistical analysis data mining (synchronization) decision support
An example ... Aoki N. et al: Mathematical Analysis of Data from the Hanshin-Awaji Earthquake.
Current Status • Applications • BCM& Ben Taub Hospital, Houston: traumatology • Smrke (Clinical Center in Ljubljana, Slovenia): hip, wrist injury • Kattan (Sloan-Kettering, NY): prostate cancer • Methodology • Logistic regression, other methods (table lookup, naive Bayes, survival models) coming soon • Integration with data mining tools coming soon