title: Constructing a Pre-Emptive System Based on a Multidimentional Matrix and Autocompletion to Improve Diagnostic Coding in Acute Care Hospitals.
abstract: Short-stay MSO (Medicine, Surgery, Obstetrics) hospitalization activities in public and private hospitals providing public services are funded through charges for the services provided (T2A in French). Coding must be well matched to the severity of the patient's condition, to ensure that appropriate funding is provided to the hospital. We propose the use of an autocompletion process and multidimensional matrix, to help physicians to improve the expression of information and to optimize clinical coding. With this approach, physicians without knowledge of the encoding rules begin from a rough concept, which is gradually refined through semantic proximity and uses information on the associated codes stemming of optimized knowledge bases of diagnosis code.
authors: Inserm, Umr_s 1138, Crc Team 22, Paris, France.
authors: Joseph
authors: J
authors: Noussa-Yao
authors: Inserm, Umr_s 1138, Crc Team 22, Paris, France.
authors: Didier
authors: D
authors: Heudes
authors: Inserm, Umr_s 1138, Crc Team 22, Paris, France.
authors: Jean-Baptiste
authors: JB
authors: Escudie
authors: Inserm, Umr_s 1138, Crc Team 22, Paris, France.
authors: Patrice
authors: P
authors: Degoulet
mesh_terms: D001331:Automation; D059019:Clinical Coding / Q000592:standards*; D003422:Critical Care; D057286:Electronic Health Records; D004636:Emergency Service, Hospital; D006801:Humans; D038801:International Classification of Diseases; D008490:Medical Informatics; D012985:Software Design; D014584:User-Computer Interface