This paper examines a decentralized admission control system with partial capacity sharing in a hospital setting. The admission decision is made by each physician who is assigned a number of dedicated inpatient beds. ...This paper examines a decentralized admission control system with partial capacity sharing in a hospital setting. The admission decision is made by each physician who is assigned a number of dedicated inpatient beds. A physician can “borrow” beds from other physicians if his dedicated beds are all occupied. We seek to understand the impact of the “borrowing cost” on physicians’ admission behavior. We find that (i) If the borrowing cost is low, a physician tends to admit lower-risk patients when either his or others’ capacity utilization is higher;(ii) If the borrowing cost is moderate, a physician tends to admit higher (lower)-risk patients when his (others’) capacity utilization is higher;and (iii) If the borrowing cost is high, a physician tends to admit higher-risk patients when either his or others’ capacity utilization is higher. We then empirically test and validate these findings. Our work demonstrates that when designing strategic admission control systems, it is important to quantify and perhaps then influence the magnitude of the borrowing cost to induce a proper level of competition without sacrificing the benefit of resource pooling.展开更多
基金This work was supported by the National Natural Science Foundation of China(Nos.71720107003,72033003 and 71722008)。
文摘This paper examines a decentralized admission control system with partial capacity sharing in a hospital setting. The admission decision is made by each physician who is assigned a number of dedicated inpatient beds. A physician can “borrow” beds from other physicians if his dedicated beds are all occupied. We seek to understand the impact of the “borrowing cost” on physicians’ admission behavior. We find that (i) If the borrowing cost is low, a physician tends to admit lower-risk patients when either his or others’ capacity utilization is higher;(ii) If the borrowing cost is moderate, a physician tends to admit higher (lower)-risk patients when his (others’) capacity utilization is higher;and (iii) If the borrowing cost is high, a physician tends to admit higher-risk patients when either his or others’ capacity utilization is higher. We then empirically test and validate these findings. Our work demonstrates that when designing strategic admission control systems, it is important to quantify and perhaps then influence the magnitude of the borrowing cost to induce a proper level of competition without sacrificing the benefit of resource pooling.
