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The modern general hospital project is faced with the dual challenges of complexity and duration pressure. To achieve a more effective schedule management, a grounded theory-based qualitative research was conducted. In this way, the collected interview data was analyzed and, seven major factors were found out and coded. Then, a modern general hospital project progress management model was proposed. The traditional schedule management in modern general hospital projects includes three influencing factors: "resource supply", "insufficient coordination", and "external environment". The interspersed construction of modern general hospital projects is more complex than traditional projects, and is also an important factor affecting progress management. In view of the complexity of modern general hospital projects, this paper puts forward relevant suggestions, clears the obstacles in progress management, and successfully completes the project on schedule, providing theoretical support for modern general hospital project progress management. [ABSTRACT FROM AUTHOR]

The complexity of modern general hospital projects makes the construction and management process challenging, and flow management techniques for lean construction can help address the complexity and improve performance. Based on the interviews and the data processing method of grounded theory, eight waste categories in the construction process of hospital projects were identified. Three main categories including lack of inter-process linkage, inadequate planning and coordination, and construction process disruption were extracted. A "waste identification- process optimization" model based on lean construction was constructed combining the characteristics of modern general hospital projects. Four process optimization suggestions were made, including optimization of the major milestone construction process, the interspersed professional engineering process, the medical professional equipment process, and the improvement of workflow reliability. Through on-site survey and seminars of the case project, the effectiveness and operability of the process optimization results were initially verified. [ABSTRACT FROM AUTHOR]