Charging system and method based on automatic association of drugs and consumables
A technology of automatic association and medicine, applied in office automation, computing, computer parts, etc., can solve the problems of abnormal conditions without proper handling, waste of time, and error-prone.
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Embodiment 1
[0030] A billing system based on automatically associated consumables with medicines, the system comprising: a medicine attribute control unit, a billing rule attribute control unit, a billing execution unit, a process optimization control unit, and a data security control unit; the medicine attribute control unit , used to formulate, modify, delete and execute attributes of medical orders; the attributes of medical orders include: usage of medical orders, frequency of orders, signatures of execution of medical orders, and attributes of medicines; the billing execution unit is used to formulate, modify, delete and execute Billing rule attributes; the billing rule attributes include: rule name, including usage, charging item name, billing quantity, billing type, drug catalog, excluded wards and used wards; the billing execution unit uses To execute the billing process, set the billing execution time and set the billing time range; the process optimization control unit is used to...
Embodiment 2
[0035] On the basis of the previous embodiment, in the data optimization process, the method for calculating the upper and lower limits of the amount of data performs the following steps: Among them, the N ch-min Indicates the lower limit of the data; the N ch-max Indicates the upper data limit; the Q traal Indicates the size of the total amount of data, S total Indicates the number of attributes. Among the drug order attributes, the number of attributes of doctor's order usage, doctor's order frequency, doctor's order execution signature, and drug attributes is 4. After adding attributes, the number of attributes is 5; the S max Indicates the maximum value of the attribute, that is, the maximum value of the attribute that can be added in the system.
Embodiment 3
[0037] On the basis of the previous embodiment, in the data optimization process, the method of clustering the data for the first time performs the following steps: set the first cluster center 0″ of each attribute, and calculate each The center distance Din of the initial clustering center 0″ of each data, and then according to the following formula, each attribute is divided according to the nearest neighbor principle to form a cluster: =β×d(v i ,θ n ), Wherein, the β is a data non-linear coefficient, usually ranging from 0.8 to 1.5; the d(v i ,θ n ) is the distance from each attribute to the first cluster center; the with is the abscissa and ordinate of the first cluster center; the with are the abscissa and ordinate of the attribute.
[0038] Specifically, the process of dividing a collection of physical or abstract objects into multiple classes consisting of similar objects is called clustering. A cluster generated by clustering is a collection of data obje...
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