A checking form was introduced in order to test the completeness of electronic and paper patient's charts in a radiotherapy department which had introduced record-and-verify system (RVS) and to improve tha staff performance. The chosen items for the electronic chart were 9 and 5 for paper chart. 223 patients were reviewed in two phases. The data analysis was based on a scoring method, attributing a positive score (+1) to the operator's good behaviour, a negative score (-1) to the lack of data input and a neutral score (0) to the inapplicable situation. The average global score increased from 0.4 to 0.7: in A (lowest complexity) category from 0.37 to 0.64, in B category from 0.4 to 0.89, in C category from 0.48 to 0.61.
Una scheda di controllo fu introdotta per testare la completezza della cartella clinica elettronica e cartacea in un servizio di radioterapia che adoperava un sistema di registrazione e verifica (RVS) al fine di migliorare l'adattamento al sistema. I parametri esaminati per la cartella elettronica furono 9 e 5 per quella cartacea. Le cartelle riviste in due fasi furono 223. L'analisi dei dati fu basata su un metodo di scoring che dà un punteggio positivo (+1) ad un comportamento positivo dell'operatore, un punteggio negativo (-1) se il dato non è stato immesso e un punteggio neutro (0) se il parametro è inapplicabile. Il punteggio medio globale aumentò da 0.4 a 0.7: nella categoria A (la meno complessa) da 0.37 a 0.64, nella categoria B da 0.4 a 0.89, nella categoria C da 0.48 a 0.61.
Quality assurance in radiotherapy. How to improve the effectiveness and completeness of an electronic patient's chart.
Casciaro Sergio;Casciaro Ernesto;Recchia Virginia;
2005
Abstract
A checking form was introduced in order to test the completeness of electronic and paper patient's charts in a radiotherapy department which had introduced record-and-verify system (RVS) and to improve tha staff performance. The chosen items for the electronic chart were 9 and 5 for paper chart. 223 patients were reviewed in two phases. The data analysis was based on a scoring method, attributing a positive score (+1) to the operator's good behaviour, a negative score (-1) to the lack of data input and a neutral score (0) to the inapplicable situation. The average global score increased from 0.4 to 0.7: in A (lowest complexity) category from 0.37 to 0.64, in B category from 0.4 to 0.89, in C category from 0.48 to 0.61.| File | Dimensione | Formato | |
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