A waiting Line Is Constituted By A Customer
Of inter consultations referred by primary care and urgent, it was coded as a preferred and another was returned by not correspond to the specialty of surgery for the decider specialized care. Of the scent as memorable or preferred, the decider codified as urgent and as preferred and were referred to primary care system queue article not correspond to the consulted specialty. Of forwarded as ordinary, only be coded as urgent without management queue system embargoed them they were prioritized as preferred. A deinterconsultas total were forwarded to specialized not correspond to the consulted specialty care. ResultadosTABLA.
Variability of prioritization between Character care levels bypass priority value assigned to specialized care Total no record Urgent Preferred management queue system Normal Rejected no record UrgentePreferenteNormal Rejected Total Analysis of homogeneity by La para correlate the nature of consultation sent to the hospital, it took place between the value priority issued by the primary care physician and the value of the prioritization of the same assigned by the decider specialized care. There was agreement on prioritization inter consultations were returned. Of the total where the management queue system character was not included, it was, respectively for specialized care. This lack of homogeneity in the prioritization between the two levels became statistically demonstrated a high level of significance. To assess the correlation between the categorization or prioritization of inter consultations, the Spaceman coefficient categorical data was processed.
The result was r, significant p, which showed a very low correlation between the prioritization by primary care and specialized care by. However, this categorization resulted in empty cells of the contingency table, resulting in the calculation of some expected frequencies used in turn to calculate the valor was less to and, therefore, the result management queue system of value system queue article probability is questionable. For this reason, the in which cases only occurred in primary care and specialized care cases and despised reprocessed. The result was also significant p. But with statistical power and because the expected frequency lower value corresponded This calculation showed that valor was entirely correct.
Thus, the result showed the lack of homogeneity management queue system in prioritizing between levels of care primary care and specialized care in the area of Health Number Valencia. The relationship between the type of pathology and prioritization derived by both levels shown in tablas frequencies corresponding to the pathological group, priority and seniority obtained from the pilot study are shown in the table. Choice of model. The target variable model was an exogenous variable to the system. This variable is represented poles patients who arrived at the hospital referred from other systems or areas and even from the same system through interdepartmental specialized care.
The probability of the management queue system number of patients would be referred to our system for one week, one month or one year was unknown. That is, the percentage of patients that were derived per unit time to the outpatient surgery is uncertain, so we are dealing probabilistic. Moreover, uncertainty arrivals sick, have a temporary effect. This effect is not limited to a particular time period or it can be variable over a year, that is, is not static. For this reason, the problem besides being probabilistic, is dynamic type arriving patients awaiting a service in folders piled up waiting for them to be assigned priority and in consultation visit date.
Variability of prioritization between Character care levels bypass priority value assigned to specialized care Total no record Urgent Preferred management queue system Normal Rejected no record UrgentePreferenteNormal Rejected Total Analysis of homogeneity by La para correlate the nature of consultation sent to the hospital, it took place between the value priority issued by the primary care physician and the value of the prioritization of the same assigned by the decider specialized care. There was agreement on prioritization inter consultations were returned. Of the total where the management queue system character was not included, it was, respectively for specialized care. This lack of homogeneity in the prioritization between the two levels became statistically demonstrated a high level of significance. To assess the correlation between the categorization or prioritization of inter consultations, the Spaceman coefficient categorical data was processed.
The result was r, significant p, which showed a very low correlation between the prioritization by primary care and specialized care by. However, this categorization resulted in empty cells of the contingency table, resulting in the calculation of some expected frequencies used in turn to calculate the valor was less to and, therefore, the result management queue system of value system queue article probability is questionable. For this reason, the in which cases only occurred in primary care and specialized care cases and despised reprocessed. The result was also significant p. But with statistical power and because the expected frequency lower value corresponded This calculation showed that valor was entirely correct.
Thus, the result showed the lack of homogeneity management queue system in prioritizing between levels of care primary care and specialized care in the area of Health Number Valencia. The relationship between the type of pathology and prioritization derived by both levels shown in tablas frequencies corresponding to the pathological group, priority and seniority obtained from the pilot study are shown in the table. Choice of model. The target variable model was an exogenous variable to the system. This variable is represented poles patients who arrived at the hospital referred from other systems or areas and even from the same system through interdepartmental specialized care.
The probability of the management queue system number of patients would be referred to our system for one week, one month or one year was unknown. That is, the percentage of patients that were derived per unit time to the outpatient surgery is uncertain, so we are dealing probabilistic. Moreover, uncertainty arrivals sick, have a temporary effect. This effect is not limited to a particular time period or it can be variable over a year, that is, is not static. For this reason, the problem besides being probabilistic, is dynamic type arriving patients awaiting a service in folders piled up waiting for them to be assigned priority and in consultation visit date.