In the past, follow-up of patients was operated by nurses from various departments. Due to the large number of patients, large workload, and limited human resources, follow-up work gradually became a formality, which not only wasted time and labor costs, but also made it difficult to analyze data and provide effective reference for improving medical service levels. The ability of each department to complete 100% of follow-up tasks as required is also influenced by various factors.
By integrating the mature AI intelligent follow-up technology on the market through the slow management platform of the entire hospital, the intelligent and humanized high-frequency and core slow disease follow-up business in the slow disease management process can be achieved, improving patient compliance.
Automated follow-up management
A standardized follow-up path can be established based on the department, disease type, or patient's health as the center. For example, if the doctor confirms that the patient is a high uric acid patient, the system automatically launches a high uric acid patient follow-up template to generate a follow-up plan for the patient. According to the plan, the system regularly reminds medical staff and comprehensively reports the patient's information to them. Combined with mobile application management, it provides partial follow-up feedback to patients outside the hospital, truly achieving efficiency and convenience. At the same time, automatically screen out patients who have left the interview, and support reminders for patients who have left the interview.
Standardization and personalization
The system is equipped with rich follow-up templates that support matching the same follow-up plan for the same type of patients, ensuring the consistency of follow-up data for subsequent statistical analysis; At the same time, the system also gives users more initiative, allowing them to customize templates or plans according to work needs, increasing the targeted and personalized follow-up, and improving the quality of follow-up.
Multidimensional statistical analysis
The system can target different types of follow-up data and form visual statistical reports (such as follow-up work statistics and patient follow-up statistics), facilitating the hospital to comprehensively examine its own medical service quality, quantify management evaluation indicators, deeply explore the application value of follow-up big data, and provide comprehensive and three-dimensional data support for scientific decision-making by the hospital's senior management.
Diversified follow-up pathways
In addition to regular phone follow-up, the system can also combine forms such as text messages, voice calls, and out of hospital patient terminals to push medication reminders, follow-up reminders, etc. to patients, so that users are no longer limited to a single centralized manual dialing mode and are no longer limited by time and space constraints. Help users establish closer communication and service relationships with patients, provide comprehensive services to patients, reflect hospital care, reduce patient turnover rate, improve patient satisfaction and loyalty, and build a harmonious doctor-patient relationship.
With the application of the intelligent management platform for chronic diseases throughout the hospital, it is possible to better understand the rehabilitation status, psychological status, and needs of follow-up patients, provide timely and accurate health guidance, improve patients' self-care ability and quality of life, and promote their physical and mental recovery.
At the same time, it also reduces the labor and time costs of hospital follow-up, improves the efficiency and quality of follow-up work, makes various survey and statistical data more accurate, helps medical staff or hospitals free from the heavy and disorderly follow-up work, and compresses the time for deep data mining and scientific research, enhancing the competitiveness of departments and hospitals.
A Solution for Hospital wide Chronic Disease Management Based on Specialized Diseases
The hospital wide chronic disease management solution based on specialized diseases, combined with the actual working scenes and management pain points of modern hospitals and departments, adopts the latest artificial intelligence (AI) technology, and takes "AI+hospital+Internet plus+specialty features" as the core to realize the closed-loop management of the whole process of chronic diseases in hospitals.
Now, the hospital wide chronic disease management solution based on specialized diseases has been successfully implemented and achieved significant results in a number of hospitals, including West China Hospital of Sichuan University and the Fourth Hospital of Hebei Medical University. In the future, Manguantong will continue to uphold the core value proposition of "everyone needs health, making intelligent health management a way of life", helping healthcare professionals to achieve more intelligent and efficient treatment and management of chronic diseases, reducing and avoiding illness among the people, and tirelessly promoting the great construction of a healthy China.
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