As global crises such as COVID-19 become more frequent, many projects, which can be called blitz projects, will need to be completed extremely quickly in response. However, there remains a lack of theoretical support for their implementation as well as systematic strategies for managing their schedules. This article examines the responses to COVID-19 by three specialty field hospitals in China. Through reviews and cross-analysis of the influential factors and practices, and their effects on extreme schedule management, this article proposes a systematic strategic framework including the elements of mission, solution and innovation, organization and culture, communication, resources, dynamics, and adaptability.

As urbanization accelerates and population structures change, healthcare buildings are becoming increasingly crowded. Predicting functional area demand is crucial to adapting to this trend and providing high-quality services. This paper introduces an innovative multi-stage method to forecast unbuilt projects using operational data from hospital information systems and building design models to automatically calculate spatial demands. The study’s main findings demonstrate that our method successfully outputs regional demand data, supporting hospital design validation and operational decision-making. Through processing and analyzing log data, this research identified the dynamic characteristics of user activities in hospital buildings and converted them into a time series data format. This method has iterative self-validation and self-optimization features and can maintain flexibility in different scenarios and frequently changing design drawings. This method will provide technical support for a wide range of hospital building stakeholders and has the potential to be applied to more types of buildings. These findings will contribute to various fields, including medical facility planning, design, and public health.