Objective To analyze the application effect of intelligent information management in the referral process of patients with important abnormal results in the physical examination center.
Methods According to the implementation time of intelligent information management, patients with important abnormal results detected in the physical examination center of Ezhou Central Hospital from January to December 2023 were selected as the manual referral group, and those from January to December 2024 were selected as the intelligent information referral group. The differences in referral timeliness rate, average reporting time, average visit time, doctor response rate, and patient complaint rate between the two groups were compared.
Results A total of 1,243 cases were included in the manual referral group and 1,317 cases in the intelligent information referral group. After implementing the intelligent closed-loop management, the referral timeliness rate increased from 65.2% to 92.3%, the average reporting time was shortened from (152.3±45.6) min to (8.7±3.2) min, the average visit time was reduced from (315.0±25.6) min to (103.0±15.6) min, the doctor response rate increased from 78.4% to 96.5%, and the patient complaint rate decreased from 12.0% to 2.8%. The differences in the above indicators between the two groups reached statistical significance (P<0.001). The referral methods of the physical examination center, the title of the administrator of significant abnormal results, the type of patient's medical insurance, the distance from residence to the hospital, and the results of imaging and ultrasound examinations were important factors affecting the visiting time.
Conclusion Intelligent information closed-loop management can significantly improve the referral efficiency of significant abnormal results in the physical examination center, optimize the medical service process, and provide a reference management model for similar medical institutions.
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