Analysis of Unit Indicator by Relevant Data in Specifications of the Outpatient Department of General Acute Care Hospital

Abstract

This study aims to clarify how to decide the unit indicator based on the facilities capability, by the investigations on following two points. 1) To determine the unit indicator for outpatient department, we verify the correlation of specifications including the average number of outpatients per day. 2) To examine the characteristics of the distribution, we accumulate various data as a database based on the unit indicator, for hospital facility management. As a result of examination, although the strong correlation of factors is few, the significance of examining these parameters as a distribution is shown.

Studies of first‐aid medical stations by flow simulation of damaged patients by the earthquake part 2: Investigation based on the area scale of disaster base hospitals by predicting the number of patients affected by a northern Tokyo Bay earthquake

“…Or a green area should be set up deeper inside the hospital, because green‐tag casualties are able to move relatively easily. For the yellow area, in this study, the treatment space was assumed to be the entrance hall on the 1st floor, and the recovery space was assumed to be the outpatient waiting area on the 2nd floor. For casualties whose conditions suddenly change to red, there remains a problem in securing a flow line to the emergency department, which is often assumed to be a red area, 8 but it was found that a relatively large area could be secured even after a long lapse of time after the disaster. For the red area, most hospitals chose the emergency department, 8 but in our research, 12 the area of the emergency department does not provide a high correlation between the average number of outpatients per day and the number of available beds, and it is an almost constant area scale. Therefore, the fact that the number of red‐tag casualties exceeds capacity immediately after a disaster cannot be changed within the current system even in a relatively large hospital.…”