JPH11120225A - Consultation hours management system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To timely control and manage consultation pace distribution and to enable the stable consultation without causing timewise errors by calculating the standard consultation time of a waiting patient for each consultation domain from the information of the accepted consultation waiting patient and the standard consultation time for each consultation domain and outputting predictive time until the end of the consultation. SOLUTION: A DB1 (waiting patient storage means) 10 registers reception information inputted at a reception device connected by a network or the like through the reception action of a patient by consulting sections/doctors in charge and stores that information while marking it in the consultation end column of this DB (1) 10 through the action of consultation completion from an ordering terminal or the like. A TL (1) (standard time storage means) 11 is a table for storing the standard time required for the consultation determined for each consulting section. This standard time is set/stored for each consultation domain such as first consultation or reconsultation based on the average consultation required time. Based on the information in the read DB (1) 10 and TL (1) 11, a consultation time predicting means calculates the predictive consultation time of the accepted non-consulted patient.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a system technology for adjusting and managing a doctor's medical care pace (medical care time) by predicting the number of outpatients fluctuating every day in a medical institution (hospital or the like).

[0002]

2. Description of the Related Art The waiting time for medical treatment (examination) at a medical institution in Japan, especially at the outpatient clinic, has been increased due to the recent rapid promotion of computerization in hospitals or the introduction of a reservation system.
The waiting time has been considerably improved, and the number of cases where the waiting time until the patient's medical treatment is displayed is increasing when an outpatient reception is made, which has helped to improve patient service.

[0003] The medical treatment queue is generated and managed in the memory of the computer for each medical department and each doctor in charge. Input to the queue (new generation) is performed at the time of outpatient reception. The output (deletion) from the queue is performed at the end of the medical treatment, but the location of the reception and the input of the medical treatment end information to the computer (location of the input device) differs depending on the system operation in the hospital.

[0004] That is, when the system operation of each medical department (each department) reception system found in a relatively small hospital is adopted, the waiting time is reduced by a dedicated small computer distributed in each department. Management (queue I / O / update,
Generally, waiting time calculation and waiting time display are performed, and reception and input of medical treatment end information are generally performed for each department. (Japanese Patent Laid-Open No. 3-65764) However, when outpatients become large hospitals with more than several hundred patients / day, outpatient reception desks are often arranged and operated at the central entrance common to all departments. Is input at the central outpatient reception desk, and the medical treatment end information is input at each department. In this operation, generally, a large-scale comprehensive information system via a host computer (for example, Ordering system, etc.). That is, a medical institution, particularly a hospital, is a group of professionals centered on physicians, and the results of medical treatment for patients are based on various orders (examination orders, prescription orders, treatment orders, lunch orders, Medical staff (nurses,
Laboratory technologist, radiologist, pharmacist, dietician, etc.) and perform the work by performing the order.

[0005] Information on the actions of doctors or medical staff is recorded and recorded in medical records and various auxiliary books (including slips).
It is managed, but it is an ordering system that comprehensively processes such information generated at the medical site along the flow of work from the ordering terminal arranged at the doctor's hand based on patient reception information. All information processing starts from the issued order input.

[0006] A host computer connected to a large number of terminals arranged at each site in the hospital stores reception information (input from the reception terminal) and order information (input from the ordering terminal) for each patient, and is implemented by medical staff. Various types of information such as action information (input from each department terminal) are stored, and the above-described medical treatment end information and the like for each patient are input from the ordering terminal arranged at the doctor's medical treatment site in this way. .

On the other hand, computerization for improving the efficiency or coordinating and managing the work of doctors or nurses who treat patients in the medical treatment queue is almost untouched (without means for obtaining information).
It can be said that the practice of physicians is allocating the medical treatment pace based on the experience and intuition of having the nurse in charge check the waiting status of the patient and looking at the medical records of the patients waiting for the medical treatment.

[0008]

In such a busy medical practice, there is a lot of wasted time other than examining the waiting state of the patient and the medical procedure, and the scheduled end time of the medical procedure is uncertain. This is one of the causes of causing an error in the information on providing the waiting time for a special patient.

In view of such a point, the present invention provides means for presenting, from a host terminal (for example, an ordering terminal or the like) connected to each host connected to a host, information that enables a doctor to adjust and manage the medical care pace distribution. The purpose is to provide.

[0010]

The above-mentioned problems are solved by a medical care pace support system configured as described below.

FIG. 1 is a system configuration diagram of the present invention.
That is, in a management system for medical treatment time by a computer, waiting patient storage means for storing received medical waiting patient information together with medical treatment divisions, standard time storage means for storing standard medical treatment time for each medical treatment division, A medical treatment time predicting means for calculating a standard medical treatment time for a waiting patient for each medical treatment section and outputting a predicted time until the end of medical treatment; Information on patients waiting for medical treatment as needed, or alarm information, such as delays in medical treatment, can be obtained earlier than the scheduled medical treatment time on the day, so that the medical care pace can be allocated exclusively to the doctor's original medical care work. It is possible to provide stable medical treatment with little error in terms of time.

[0012]

DESCRIPTION OF THE PREFERRED EMBODIMENTS Computer processing in the present invention is executed by a computer program on a main storage device of the computer. The computer program is provided in an auxiliary storage device connected to the computer. First, floppy disk and CD-ROM
And the like, and are provided by being stored in respective recording media such as a portable storage device such as a main storage device and an auxiliary storage device of another computer connected to a network. It is loaded on the device and executed.

[0013] Figure 1 is a system configuration diagram of the present invention, referred to as the waiting patients storage unit 10 (DB1 reception complete patient: DA TA
B ASE1), standard time storage means 11 (referred to as TL1: TABL E 1) for storing standard medical treatment time, reserved patient storage means 1
2 (referred to as DB2), predicted number storage means 13 (referred to as DB3) for storing the expected number of patients to be visited, and medical treatment time prediction means 1
And an input / output terminal 14 arranged near the doctor, such as an ordering terminal.

FIG. 2A shows DB1 (waiting patient storage DB).
Is a layout example of the reception information received by a reception device connected via a network or the like by the reception of the patient,
The information is registered in the main DB for each medical department and doctor in charge, and is marked and stored in the medical end column of the DB according to the completed medical treatment from the ordering terminal or the like.

This example is a layout example of a patient waiting for medical treatment in the internal medicine (Dr. Suzuki) on 97-8-1. The patient name, reception time, the above-mentioned medical treatment end column, medical treatment classification described later, and charge When a doctor is designated, the designated doctor is stored.

Incidentally, An, Bn, Cn, etc. in the patient name column represent general outpatients, and Yn represents a reserved patient, which will be described later, and are queued in DB1 for ordering the treatment of these patients. Is implemented by a predetermined method (logic).

FIG. 2B shows TL1 (standard time storage TL).
Is a layout example, and is a content example of a table in which standard times required for medical care determined for each medical department are stored. This standard time is divided into four categories, based on the average time required for medical treatment: first consultation, re-examination, medicine (medication) only, and other (rehabilitation, special consultation, explanation of test results, etc.). It is set and stored.

This table stores a standard medical treatment time for each medical treatment category and an average ratio to the total number of patients visited. In this example, for example, in the case of the first consultation, the standard consultation time is 10 minutes and the patient ratio is 15%.

Next, FIG. 3A shows DB2 (reserved patient memory D).
B) is a layout example, in which the names of reserved patients,
The reservation time, the reception status, and the designated doctor are stored. In this example, reserved patients Y1 to Yn are stored, and Y1 to Yn are stored.
Y5 patients have already been accepted and DB
The marking is made at the same time as the reception time is written in the No. 1.

FIG. 3B shows an example of the layout of DB3 (expected number of visits storage DB).
The number of visiting patients for each day of the month is stored for each doctor in each medical department. In this example, it is memorized that, for example, about 60 doctors on the internal medicine, Suzuki on the Monday of August, 50 on Tuesday, 55 on Wednesday, 50 on Thursday and 60 on Friday Have been. Here, the description is made by estimating the number of visiting patients for each day of the week of each month.

FIG. 4 is a flowchart of a process for calculating the predicted medical treatment time of each patient waiting for medical treatment by using these DB information, which will be described below. First, after selecting a medical care time prediction processing menu in step 40, when a doctor ID is input from an ID card or the like of a doctor in charge in step 41, in step 42, DB1 information related to the doctor and TL1 The information is read into memory.

Based on the read information, step 4
3, the predicted medical treatment time of the untreated patient who has been accepted (the patient who has no mark in the medical treatment end column of DB1) is calculated, that is, D
The standardized medical treatment time of TL1 is obtained from the medical treatment category of the received untreated patients on B1, and the estimated treatment time of each received untreated patient is calculated by developing the standard treatment time into a real-time expression.

Next, in step 44, the DB2 information and DB3 information are read into the memory, and in step 45, the number of accepted patients in DB1 is subtracted from the expected number of patients visiting DB3, and the number of unaccepted patients (from now on) From the current month, the day of the week, and August 1 (Friday), the expected number of patients to be visited in the corresponding column of DB3 is calculated, and DB1 is calculated from this value.
The number of unaccepted patients is calculated by subtracting the number of accepted patients indicated in (1).

At step 46, the number of unaccepted patients calculated in this way is compared with the so-called unaccepted number of unaccepted patients among the reserved patients in DB2, and the number of unaccepted patients ≦ unaccepted appointments In the case of the number of patients, it is determined that the expected number of patients to be visited is too small, and in step 47, the expected number of patients to be visited frame is expanded by a predetermined number (for example, for five patients) and stored as a new expected number of patients to be visited on the day. After storing the above, the process returns to the previous step 45, and the calculation of the number of unaccepted patients based on the expected number of new visiting patients is repeated again.

As a result of this repetition, or when the number of unaccepted patients from the beginning> the number of unaccepted reserved patients, the process proceeds from step 46 to step 48, where the number of unaccepted patients is set to TL
Treatment categories (first consultation, re-examination, medicine only,
Others) and distribute to the number of patients.

Then, in step 49, the predicted medical treatment time is calculated for the unaccepted patients for each allocated medical treatment division in the same manner as in step 43. In step 50, the predicted medical treatment end time calculated as a result is compared with a predetermined medical treatment end time, and if the predicted medical treatment end time> the predetermined medical treatment end time, an alarm is generated in step 51 as an alarm.
For example, multiple! After setting the mark in accordance with the degree, the process proceeds to step 52 together with the case where the medical treatment end time ≦ the predetermined medical end time.

In step 52, the medical treatment predicted time data for each patient obtained in the previous steps 43 and 49 is edited, and this is displayed on a screen of an ordering terminal or the like in step 53, and all the processes are completed. .

Although not shown, it is sufficiently possible to additionally set an alarm display, for example, when the predicted medical treatment end time approaches, for example, 80% of the predetermined medical treatment end time.

FIG. 5 is an example of a screen displaying the calculation result of the medical care time prediction processed in the above procedure on a screen of an ordering terminal or the like. In this example, this is an example of a medical care time prediction screen as of 9:55 on Friday, August 1, in which medical care prediction time for a patient waiting for medical care by Dr. Suzuki of internal medicine is displayed. On the screen, up to B5 patient is the predicted medical treatment time display for the untreated patients who have already been received, and for Y6 patients and later, it is calculated based on the expected visits to general outpatients and reserved patients who have not yet received patients (65 on the day). This is a display of the estimated medical treatment time, and the medical treatment time and the patient name are designed to be scrolled on the screen and displayed as a whole.

The predicted medical treatment end time on the day is 14:10
Minutes, which is 40 minutes longer than a predetermined medical treatment end time (for example, the medical treatment end time of the day is 13:30), and an alarm is displayed (!!!).

[0031]

As is apparent from the above description, according to the present invention, a doctor obtains, as necessary, information on a patient waiting for a predicted medical treatment of the day from a terminal connected to each department connected to a host such as an ordering terminal. Or, since the alarm information that the predicted medical treatment end time of the medical treatment exceeds the predetermined medical treatment end time of the day can be obtained earlier, the medical treatment pace distribution is timely adjusted and managed exclusively for the doctor's original medical treatment work. In addition, stable medical treatment with little error in time is possible. As a result, the scheduled end time of the medical treatment becomes accurate, and when waiting time information is provided to the patient, the error with respect to the waiting time can be further reduced, which leads to further improvement of patient service. There are significant industrial effects.

[Brief description of the drawings]

FIG. 1 is a system configuration diagram of the present invention.

FIG. 2 is a layout example of DB1 and TL1 of the present invention.

FIG. 3 is a layout example of DB2 and DB3 according to the present invention.

FIG. 4 is an example of a flowchart of a medical care time prediction process according to the present invention.

FIG. 5 is an example of a medical care time prediction screen according to the present invention.

[Explanation of symbols]

 10 Waiting patient storage means 11 Standard time storage means 12 Reserved patient storage means 13 Expected number storage means 14 I / O terminal 15 Medical treatment time prediction means

Claims (4)

[Claims] 1. A medical time management system using a computer, a waiting patient storing means for storing received medical waiting patient information together with medical treatment divisions, and a standard time storage for storing a standard medical treatment time for each medical treatment division. A medical treatment time management system, comprising: means for calculating a standard medical treatment time for a waiting patient for each medical treatment category, and outputting a predicted time until the end of medical treatment. 2. An expected number storage unit for storing an expected number of patients to be visited for each day of the week of each month; a standard time storage unit for storing a patient ratio for each of the medical treatment divisions; For the number of patients in which the number of patients is reduced, the medical treatment time is calculated by allocating according to the patient ratio for each medical treatment category, and the medical treatment time prediction means for outputting the predicted time until the medical treatment is completed is provided. The medical treatment time management system according to claim 1. 3. The medical treatment time according to claim 1, wherein the medical treatment time predicting means outputs alarm information when the predicted medical treatment end time approaches or exceeds a predetermined medical treatment end time. Management system. 4. A recording medium on which a program for causing a computer to manage a medical treatment time is recorded, wherein a standard time storage means for storing a standard medical treatment time for each medical treatment category; A medical treatment time predicting means for calculating a standard medical treatment time for a waiting patient for each medical treatment division based on the waiting patient information stored together with the classification and outputting a predicted time until the end of medical treatment. A computer-readable recording medium on which is recorded.