With the development of society and economy, people’s lifestyle and eating habits have undergone great changes, such as spending a long time behind desks, sitting for a long time, drinking and staying up late, and emotional depression; functional constipation, a disease of the digestive system, has changed. It is extremely common, and the age of onset is gradually decreasing. The development of the medical and health industry is also accompanied by the rapid development of technologies such as the Internet of Things, big data, and artificial intelligence, which penetrates into all aspects of the medical and health field and has entered the stage of smart medical care. This article proposes a study on the clinical acupoint selection rules of massage and acupuncture treatment of functional constipation based on smart medical big data analysis. This article adopts a variety of methods such as literature data method and experimental research method to carry out related theoretical research and promotion of massage and acupuncture treatment under the background of smart medical big data and design a clinical experiment of massage and acupuncture treatment based on big data analysis for functional constipation. The advantages of big data algorithms, the law of selecting acupoints in massage and acupuncture treatment, and the comparison of CCS symptom score and PAC-QOL score are analyzed. From the frequency of acupuncture treatment of functional constipation, the top 5 acupoints are Tianshu, Shangjuxu, Dachangshu, Zusanli, and Zhigou. In this paper, the total effective rate of treatment in the experimental group reached 96.56%, while the total effective rate of treatment in the control group was only 75.02%. Tuina and acupuncture treatment of functional constipation has a good therapeutic effect and is worthy of extensive clinical application.
Medical Big Data Analysis in Hospital Information System
