Title :
REFEROCOD: A probabilistic method to medical coding support
Author :
Lecornu, L. ; Thillay, G. ; Le Guillou, C. ; Garreau, P.J. ; Saliou, P. ; Jantzem, H. ; Puentes, J. ; Cauvin, J.M.
Abstract :
Choosing diagnosis codes is a non-intuitive operation for the practitioner. Mistakes are frequent with severe consequences on healthcare evaluation and funding. French physicians have to assign a code for everything they do and they are not spared with these kinds of errors. We propose a tool named REFEROCOD to support the medical coding task in order to minimize errors without losing time, by suggesting a list of codes in accordance with the physician activities and of the patient medical context. The proposed method uses probabilistic knowledge and indicates the probability to have a proper diagnosis code considering the realized procedure, age, sex and other information available in the discharge abstract.
Keywords :
information analysis; medical information systems; patient diagnosis; probability; REFEROCOD; diagnosis codes; medical coding support; patient medical context; physician activities; probabilistic knowledge; probabilistic method; Algorithms; Computer Graphics; Decision Support Techniques; Female; Forms and Records Control; Humans; Male; Medical Errors; Medical Informatics; Medical Records; Probability; Software; User-Computer Interface;
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2009.5332495
