Operational Performance Analysis of Oncology Specialty Internet-Based Medical Services Using the GROW Model
Cheng Yuejia
Yuan Junyi
Mi Linhui
Shang Shi
Hou Xumin
Abstract：Objective:It analyzes the operational performance of internet-based medical service models for oncology specialties in a public hospital,to provide a scientific basis for evaluating the service delivery capacity and resource utilization of healthcare.Methods:Employing a non-randomized cross-over design for pre-post departmental comparisons and dual-operating-model cross-validation,the GROW model was utilized to calculate and analyze key economic growth factors of internet healthcare services—including total revenue,gain,revisit rate,and value retention—to evaluate the market adaptability of different operational models.Results:It showed that the"centralized scheduling model"achieved an increase of 5 373 cases in service volume and a size of 3.581 million yuan in total internet-based medical revenue.Gain power is the dominant driving factor in thoracic surgery and oncological surgery(63.3%,62.9%),while both gain power and value power exhibit driving characteristics(50.3%,50.4%)in respiratory medicine.Oncology medicine is primarily value-driven(124.1%).Conclusion:Department-level internet operation strategies exhibit distinct characteristics in adaptability.
Keywords：oncology hospitalinternet-based medical serviceGROW model
Publication Date：2026-02-05
Online Publishing Date：2026-03-16(First online date of this platform, not the publication date of the document)
Pages：4( 71-74 )