Networked ICD-9 coding system for a radiology department.
OBJECTIVE. We describe a networked database system to implement a departmental list of International Classification of Diseases, 9th edition (ICD-9) codes for use by reporting radiologists. CONCLUSION. Our system is reliable, easy to use, and has increased coding accuracy and speed. In-house development allowed designing a system to specifically address the needs of the radiology group. The resulting list of codes accurately reflects the current practice environment and grows dynamically to suit changing needs.
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Department of Radiology, P.O. Box 100374, University of Florida School of Medicine, 1600 S.W. Archer Rd., Rm. G387, Gainesville, FL 32610, USA.
Drane
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D003195:Computer Communication Networks / Q000458:organization & administration*; D016208:Databases, Factual; D004194:Disease / Q000145:classification*; D006801:Humans; D011872:Radiology Department, Hospital / Q000458:organization & administration*; D011873:Radiology Information Systems / Q000458:organization & administration*; D014481:United States