Engineering Construction and Risk Management Practice of Intelligent Rail Logistics System in Multi Building Tertiary A Hospital

Abstract

To meet the requirements for the high‑quality development of public hospitals and solve practical problems such as low efficiency of in‑hospital material transportation, high labor costs and heavy pressure of nosocomial infection control in multi‑building tertiary‑A hospitals, Chengdu Hospital of Integrated Traditional Chinese and Western Medicine has launched the reconstruction‑and‑expansion project of an intelligent rail‑logistics system. As an intelligent renovation project constructed under the premise of uninterrupted medical services, it is restricted by multiple factors including existing building conditions, nosocomial‑infection control requirements and extreme weather, with engineering risks running through the whole project lifecycle. Combined with project practice, this paper carries out whole‑lifecycle risk identification and assessment, establishes a risk matrix, formulates corresponding countermeasures, and builds a closed‑loop management system of “risk identification‑assessment‑disposal‑review”. Risk control is implemented through multi‑party collaboration, phased construction, on‑site operation and maintenance, special training and emergency disposal. A total of 48 stations are planned with a total rail length of 2567 m, among which 32 stations have been put into operation. The system completes an average of 320 delivery tasks per day, with a 30‑minute task completion rate of 93 %. The labor cost for full‑time delivery staff is reduced by 50 %. The construction objectives of cost reduction and efficiency improvement, nosocomial‑infection prevention and refined operation of intelligent logistics support have been achieved. Practice proves that whole‑lifecycle engineering risk management is critical to the successful implementation of hospital intelligent reconstruction‑and‑expansion projects, and can provide practical references for similar domestic hospital intelligent‑logistics projects.