智能科学与技术学报 (Mar 2024)
Optimization of hospital operation based on parallel healthcare systems
Abstract
In the wave of digitization, the introduction of digital and parallel intelligence technologies was crucial to responding to the imbalance in the allocation of medical resources and the need for optimization of hospital management. Parallel healthcare systems can fully leverage the value of data with the help of artificial intelligence methods and optimize the solution through the interaction between reality and virtuality. The system comprised the distributed and trustworthy database, medicine-oriented operating system, medicine-oriented scenario system, and medicine-oriented large models, which enhanced data empowerment through data collection and circulation, thus facilitating trans-dimensional optimization of hospital operations. To better demonstrate the value of data in hospital operations, a method to quantify the value of data was proposed based on parallel healthcare systems and demonstrated with the help of a numerical experiment. The experimental results showed that parallel healthcare systems can effectively improve the hospital's social benefit by 47.45%, economic benefit by 13.82%, and operational efficiency by 21.90%, providing a global vision for decision-makers.
