Application of Data Analysis to Medical Manpower Adjustment

In today's environment of longer human life and higher average age, the general family does not have enough ability and economic conditions to apply for professional nursing staff to assist in the patient of the elderly in need of long-term care in the home. To maintain the family's income, they have to continue the existing work and send the elderly to the care center. However, there is still a shortage problem of nursing staff, even in nursing centers, because each nurse needs to take care of several patients with dealing the related medical matters at the same time. We found that the physical condition of each patient is different. In this paper, the data function and algorithm propose as the basis of data analysis. We can turn the physical condition of each patient into relevant data and analyze the corresponding data. In this way, we can find out the abnormal condition of the patient's body early, which is helpful for the prevention of accidents. After data analysis, if the patient's BFI continues in the stable area in the past month, some detection of Body Function can be omitted. This approach can not only appropriately improve work efficiency but also reduce the workload of nursing staff. Finally, we establish the management mode of medical manpower scheduling then the medical manpower-shortage problem would adjust appropriately.