English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Due to the unreasonable allocation of medical and health resources in urban and rural areas, many high-quality medical resources are concentrated in cities, resulting in the widespread overcrowding of large city hospitals and inadequate utilization of resources at the primary hospitals. In order to solve this problem, a sound two-way referral mechanism has been built. However, only transferring patients between medical services does not fundamentally solve the problem, there are still a large number of patients with normal disease go to the city hospitals to get their first treatment. Therefore, by using the quantitative method, this paper mainly focuses on how to stimulate the city hospital to transfer resources into primary hospitals thus patients would like to get first treatment in the primary hospital, and at the same time to promote the primary hospitals to transfer patients with serious disease to city hospital for treatment on time. This paper models and analyzes the cooperation between hospitals, explores the profit of the hospital under different combinations of referral strategies, and uses Arena to simulate the treatment process in hospitals. Finally we use the method of simulation optimization and try to find out the best referral decisions that could minimize patient's waiting time and maximize the profit of hospitals.

Two-way Referral Research Based on Simulation Optimization with Both Patient and Medical Resource Transfer Considered