JPH0386147A - Prescription data development processing system - Google Patents

Abstract

PURPOSE:To automatize the job of a pharmacist by extracting the attribute data of a patient in a patient master corresponding to inputted prescription data and the attribute data of a medicine in a medicine master, respectively, and finding the optimum medicine combining data by developing extracted patient data and medicine data based on a medicine combination rule. CONSTITUTION:An operator (pharmacist) inputs the prescription data of a prescription such as a patient number and a prescription content, etc., issued by a doctor from a keyboard comprising a prescription data input part 1 as observing a CRT display 6. Inputted prescription data is fetched in a chack part 9 via an input part 8, and respective check processing is executed. When all the check processings are completed, a check list is outputted from a printer 7 via an output part 11. Also, checked medicine combining data is outputted to the patient master 2, and corresponding patient data is rewritten. On the check list, the bibliographical items of the patient number, a name, distinction of sex, the date of birth, and the name of a disease, etc., and the code of the medicine to be applied, the name of a prescribed medicine, and a check content (instructing way to take medicine) are entered. In such a way, it is possible to automatize the complicated job of the pharmacist and to reduce the labor of the job.

Description

[Detailed Description of the Invention] [Object of the Invention] (Industrial Application Field) The present invention is a prescription data development method that can automatically develop manually-generated prescription data based on the above-mentioned dispensing rules to obtain optimal dispensing data. Regarding processing systems.

(Prior Art) Traditionally, dispensing in hospitals and the like has generally been carried out by pharmacists based on prescriptions issued by doctors based on dispensing pharmacy operational guidelines.

In this case, the pharmacist uses his or her own knowledge and know-how to prepare the appropriate drug. In this case, the pharmacist's job is not only to simply prepare medicines, but also to provide instructions on how to take the medicines, etc.

(Problems to be Solved by the Invention) However, since the conventional prescription data development process was performed manually by a pharmacist, the following problems occurred.

Hospitals have various departments such as internal medicine, surgery, obstetrics and gynecology, and prescriptions are issued for each department. For this reason, if the same person is examined by multiple departments, the contents of the prescriptions may overlap, and the same type of medication may be duplicated, or in some cases, drugs with different effects may be prescribed. Sometimes.

In addition, the job of a pharmacist is not only to simply dispense drugs, but also to provide instructions to patients on the effects of medicines and how to take them. In particular, when the patient is a pregnant woman, the elderly, or a child, more detailed guidance is required than for a normal adult.

Furthermore, even for the same medicine, there are various conventions (rules) such as administering easy-to-drink liquid medicine to children, and administering powder medicine to the elderly rather than capsules.

For example, a prescription may say 60 mg of drug A twice a day in the morning and evening, but when the pharmacist actually prescribes the medication, the following information is written: ■ 1 mg of drug A (syrup) ■ Drug A
10mg (capsule) ■ Drug A 30mg
(Capsule), etc. In normal cases, choose ■ above, but in the case of children, choose ■ above.

Moreover, if the number of administrations per day is three times instead of two, the above option (■) will be selected.

All of these rules belong to the pharmacist's know-how and require complicated work. In particular, there is a large difference in knowledge and experience between veterans and newcomers, and it is not only very time-consuming for newcomers, but also can sometimes lead to mistakes.

An object of the present invention is to provide a prescription data deployment processing system that can automate the above-mentioned complex pharmacist operations and reduce the labor involved.

[Structure of the Invention] (Means for Resolving the Problems) In order to achieve the above object, the present invention provides a patient master that files various attribute data regarding patients, and a drug master that files various attribute data regarding drugs. and the dispensing rules in which various rules regarding dispensing are stored, patient attribute data in the patient master and drug attribute data in the drug master corresponding to the manually entered prescription data. The present invention is characterized by comprising means for developing patient data and drug data based on the dispensing rules to obtain optimal dispensing data.

(Effect) The patient master record includes the patient's name, age, gender, weight,
Various attribute data such as allergies, past medical conditions, and whether or not the patient is pregnant is filed for each patient.

Further, in the drug master, various attribute data such as drug name, daily dose, avoidance measures, constitutional conditions, etc. are filed in advance for each drug.

Dispensing rules include, for example, ``Administer liquid medicine to children under this age'' ``Do not administer hypnotic drugs to drivers.''
When a system operator such as a pharmacist enters prescription data such as patient name, drug name, etc., the prescription data for that patient is automatically developed based on the dispensing rules, and the optimal Dispensing data is created.

(Example) FIG. 1 is a block diagram showing the overall configuration of an apparatus to which a prescription data expansion processing system according to the present invention is applied.

As shown in the figure, the device of this embodiment includes a prescription data input unit 1 consisting of a keyboard for manually inputting prescription data, and a patient master 2 in which various attribute data regarding patients are stored.
, a drug master 3 in which attribute data related to drugs are filed, and a dispensing rule 4 in which rules for creating dispensing data from the patient master 2 and the drug master 3 are recorded.
A prescription data development unit 5 that creates prescription data by developing prescription data from manually entered prescription data, filed patient data, drug data, and dispensing rules; CRT
It is equipped with a display 6 and a printer 7 that prints the created prescription data.

As shown in Figure 2, the patient master 2 contains information such as patient number, name, gender, date of birth, insurance information, address, height, weight, disease name, medical history, allergy information, side effect information, and alcohol consumption. Various attribute data related to the patient's physical life, such as smoking, dietary preferences, lifestyle habits, etc., are filed for all patients.

As shown in Figure 3, the drug master 3 contains the general code of the drug, the generic name of the drug, each dose for one dose, one for one day, one for one day, and one for each day.
Various attributes related to drugs such as each usual dose, contraindicated disease code, and constitutional conditions are stored.

Dispensing Rule 4 includes, for example, ``Administer liquid medicine to children under a certain age,'' administer powder medicine to elderly people over a certain age, ``Do not administer hypnotic drugs to drivers,'' and ``Do not administer hypnotic drugs to pregnant women.'' Rules related to dispensing such as "Do not administer teratogenic drugs" are recorded in advance. The dispensing rules 4 also store various rules for accounting calculations.

The prescription data development section 5 further includes a human power section 8 that takes in prescription data, patient data, drug data, and dispensing rules, a check section 9, an accounting calculation section 10, and an output section 11 that outputs the created dispensing data. It is equipped with

The checking section 9 creates prescription data by checking the manually entered prescription data one by one in accordance with patient data, drug data, and prescription rules, and the processing procedure is shown in the flowchart of FIG.

The accounting calculation unit 10 automatically calculates dispensing fees and the like from manually entered prescription data, patient data, drug data, and dispensing rules, and creates bill data.

Next, the operation of the check section 9, which is a characteristic feature of this embodiment, will be explained with reference to the flowchart shown in FIG.

An operator (pharmacist) enters prescription data of a prescription issued by a doctor, such as a patient number and prescription details, using a keyboard constituting the prescription data input section 1 while looking at the CRT display 6.

The manually entered prescription data is sent to the check section 9 via the human section 8.
Steps 101 to 110 in FIG.
Each check process shown in is executed.

First, in step 101 human power value check processing, it is checked whether the input value is correct or not, and if the checksum value is greater than a specified value, an error is output.

The regular dose check process checks the regular dose of the drug based on the patient's age, drug name, etc. As a result, it is possible to prevent the occurrence of a mistake such as dispensing 5 tablets when the maximum usual dose is 3 tablets due to a doctor's entry error or a pharmacist's manual error (step 102).

In the process of checking the maximum number of doses, for example, for drugs for gastric ulcers, 14 days' worth can be dispensed at one time, but for regular medicines, there is a limit on the number of days on the medicine can, such as 3 days' supply, so it is checked whether the number of days is correct ( Step 1o3).

The gender contraindication check process checks whether a drug that should be administered only to women is being administered to men, or vice versa (step 104).

The contraindication disease check process checks whether a drug that is incompatible with the patient's disease or constitutional condition is being administered. For example, it is checked whether a hypertensive patient is being given a drug that is contraindicated for hypertension, or a pregnant woman is being given a drug that cannot be administered to a pregnant woman (steps 105 and 106).

Now, each of the contraindicated disease check and allergy check processes will be specifically explained using FIG.

For example, if "hypertension" is entered in the disease column of patient master data 2, but on the other hand, if "hypertension" is the name of a contraindicated disease for a drug input from prescription data and extracted from drug master data 3, then As a result, the check list "There are drugs that are not suitable for 'hypertension'" is written in the check list described later. The same applies if there are drugs that are not suitable for pregnant women.

For example, when administering a drug that makes you sleepy, the medication guidance check process may include instructions such as "Avoid driving a car as it will make you sleepy" or instructions to children regarding medication, such as "Please do not leave any left behind."l's! @ $ G + x y
tZ (Z ?”′″′107)・12 Duplicate check processing checks whether the same drug has been administered in another clinical department, and whether the same drug is administered the next day after three days' worth of administration. This is a check to avoid duplication, such as administration for three more days (step 108).

In the interaction check process, it is checked whether antihypertensive drugs and drugs with counteractions, such as antihypertensive drugs, are being administered (step 109).

When all the check processes from steps 102 to 109 described above are completed, a check list is output from the printer 7 via the output unit 11 (steps 110 and 111).
). Further, the checked prescription data is output to the patient master 2, and the corresponding patient data is rewritten.

FIG. 6 shows a specific example of the structure of the check list.

This check list includes bibliographic information such as patient number, name, gender, date of birth, and disease name, as well as the code of the drug being administered,
The name of the prescribed drug and the contents of the check (medication guidance) are listed.

Therefore, the pharmacist only needs to input the prescription data manually, and the dispensing data is automatically output from then on, so it is possible to reliably prevent dispensing errors from occurring.

Furthermore, since there is extremely little reliance on the pharmacist's experience and know-how, even inexperienced personnel can obtain accurate dispensing data, dramatically improving work efficiency. [Effects of the Invention] As explained above, Furthermore, according to the prescription data expansion processing system of the present invention, complex pharmacist operations can be automated and the labor involved can be reduced.

Furthermore, since there is significantly less reliance on the pharmacist's experience and know-how, more accurate dispensing data can be obtained.

[Brief explanation of drawings]

FIG. 1 is a block diagram showing an embodiment of a device to which the prescription data deployment processing system according to the present invention is applied, FIG. 2 is an explanatory diagram of the configuration of a patient master, and FIG. FIG. 4 is a flowchart showing the processing procedure in the check section, FIG. 5 is an explanatory diagram of the action executed in the check section,
FIG. 6 is a diagram showing the structure of the issued check list. 1...Prescription data human resource department 2...Patient master 3...Drug master 4...Dispensing rule 5...Prescription data development section 9...Check section

Claims (1)

[Scope of Claims] A patient master that files various attribute data regarding patients, a drug master that files various attribute data regarding drugs, a dispensing rule that stores various rules regarding dispensing, and input prescription data. Extract patient attribute data in the patient master and drug attribute data in the drug master corresponding to each, and expand the extracted patient data and drug data based on the dispensing rule to obtain optimal dispensing data. A prescription data expansion processing system comprising: means;