Title of article :
Developing SNOMED-CT for decision making and data gathering: a software prototype for low back pain.
Author/Authors :
Maheronnaghsh، Radin نويسنده Sina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Tehran, Iran. Maheronnaghsh, Radin , Nezareh، Saeed نويسنده Digital Preservation Laboratory in Central Library, Tehran, Iran. Nezareh, Saeed , Sayyah، Mohammad-Kazem نويسنده Sina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Tehran, Iran. Sayyah, Mohammad-Kazem , Rahimimovaghar، Vafa نويسنده Sina Trauma and Surgery Research Center (STSRC), Department of Neurosurgery, Tehran University of Medical Sciences, Tehran, IR Iran ,
Issue Information :
ماهنامه با شماره پیاپی 0 سال 2013
Pages :
6
From page :
548
To page :
553
Abstract :
The issue of medical errors is currently a global concern which places a heavy financial and emotional burden on communities. A clinical decision support system (CDSS) is an electronic system designed to support clinical decision making. Considering the increasing importance and use of Systematized Nomenclature of Medicine-Clinical Terms (SNOMED-CT), we developed SNOMED-CT to implement it more efficiently in making smart history taking, decisions to perform lab tests and imaging, diagnosis and recommendations. To evaluate these capabilities in real clinical problems, a new CDSS was compiled, aimed at supporting decisions on patients with a chief complaint of low back pain (LBP). A number of LBP differential diagnoses as well as some recommended indications and contraindications published by guidelines, were inputted to the database. Future software based on this model would help physicians to do necessary assessments and recommendations and might improve patientsʹ safety.
Journal title :
Acta Medica Iranica
Serial Year :
2013
Journal title :
Acta Medica Iranica
Record number :
2387499
Link To Document :
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