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Corresponding author: Wang Huiqun, 782281527@qq.com

DOI: 10.12201/bmr.202509.00040

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  Abstract: Objective:To analyze internet hospital operations using patient data, identify challenges, and propose evidence-based optimization strategies.Methods:Consultation records (Jan 2023-Dec 2024) from a Ningxia tertiary hospitals internet platform were analyzed descriptively, examining demographics, consultation types, fees, order statuses, departments, and symptom Keywords.Results:The majority of consulting patients were female, predominantly aged 21-40 years. Text-image consultation was the main form, while expert interpretation accounted for the smallest proportion.Over 90% of consultations cost less than 40 yuan. Consultation completed was the primary order status, but the cancellation rate rose from 33.42% to 40.15%, mainly due to doctors failing to accept orders within the time limit, patient-initiated cancellation, and patients failing to pay on time. Popular departments included Dermatology, Pediatrics, Reproductive Medicine Center, and Oncology Department III, with the consistency rate between target and actual departments decreasing from 66.2% in 2023 to 59% in 2024. High-frequency terms in disease descriptions focused on skin issues, thyroid disorders, pregnancy health, diabetes, common childhood diseases and mental health problems.Conclusion:Internet hospitals should focus on patient needs and continuously optimize doctor-patient communication efficiency, doctor resource allocation, department-demand matching, process streamlining, specialized services, and health management, so as to enhance online service efficiency and inter-department collaboration.

  Key words: ; ; ; ; 

  Submit time: 17 September 2025

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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