JP4829648B2 - How to give incentives to shorten hospital stays - Google Patents

Description

  The present invention relates to a method for providing incentives for shortening the length of stay in hospitals that provides incentives to healthcare professionals for shortening the average length of stay in hospitals that greatly affects the number of medical insurance points (= hospital sales).

  At present, no medical institution worker can be indifferent to insurance points. Among them, since April 2003, a comprehensive medical treatment fee system by DPC (Diagnosis Procedure Combination) was introduced to the general beds of 82 specific function hospitals (university hospitals, national cancer centers, national cardiovascular disease centers) nationwide. Eventually it has spread to general hospitals. This system is a comprehensive evaluation system per day based on the diagnosis group classification of acute inpatient medical care. It is understood that the US DRG (Diagnosis Related Group) is arranged in Japanese style.

  The comprehensive evaluation system per day (hereinafter simply abbreviated as DPC) based on the diagnosis group classification of acute inpatient medical care is to evaluate the functions of specific function hospitals properly in the first place, and to further improve the function sharing of medical institutions. From the viewpoint of promotion, it was implemented under the guidance of the Ministry of Health, Labor and Welfare in order to review the medical treatment fees for hospitalization in specific function hospitals, etc. And we are trying to make it more appropriate by revising the comprehensive evaluation.

  By the way, the method of comprehensive evaluation is a payment method in principle based on comprehensive evaluation per patient per day according to the diagnosis group classification (some of them are out of the scope of comprehensive evaluation such as handling of surgical fees). In light of the fact that there are different combinations of treatment actions for each medical institution, the specific level of comprehensive evaluation is to consider the situation of each medical institution.

  Unlike the US “DRG”, DPC is given a score in units of one day, so that medical institutions are only looking to shorten the length of hospital stay, and the quality of medical care is not lowered. Therefore, the name is DPC (Diagnosis Procedure Combination), which is a name unique to Japan.

  FIG. 9 is a time chart for explaining diagnosis group classification comprehensive evaluation (DPC) of acute inpatient medical care. As shown in FIG. 9, the score per day for each diagnosis group classification is set in three stages according to the length of hospital stay. That is, (1) Add 15% to the average score until the 25th percentile of the length of hospital stay (I hospitalization period I day), (2) Average from the 25th percentile value to the average hospital stay (hospital period II day) (3) If the average length of hospital stay (hospitalization period II days) is exceeded, a three-point evaluation is performed, such as subtracting 15% from the average score, and the comprehensive score is changed in stages. . However, for the classification of short-term hospitalization such as chemotherapy for malignant tumors, it is allowed to add 15% up to the 25th percentile value and add up to the 5th percentile value, and the average length of hospital stay per diagnosis group category When hospitalized for a significantly longer period of time than the average hospital stay, it is also accepted to calculate from the average hospital stay from the average hospital stay + the standard deviation more than twice the standard deviation.

Under such circumstances, a technique of plotting and statistically displaying a result of comparison with the average length of stay for each patient as shown in Patent Document 1 below is known.
JP 2002-049889 A

  However, only the statistical display shown in the above-mentioned patent document 1 is not clear how much the length of hospital stay of each patient affects the average hospital stay of the entire hospital. There was a problem that incentives to encourage could not be given.

  Therefore, the purpose of the present invention is to display a warning to medical staff about the deviation from the target average length of stay as information useful for shortening while always being aware of the necessity in daily operation, and to shorten the length of stay in hospital. It is to provide a method for giving incentives for shortening the length of hospital stay to give incentives.

  Incentive granting method for shortening hospitalization hospital days according to the present invention is a method for providing incentives for shortening hospitalization hospital days, which aims to shorten the average hospitalization hospital days that have a large impact on the medical insurance score. The process of calculating the difference between the length of hospital stay and the average length of hospital stay for the last two months at the hospital, and the target average by disease for patients currently hospitalized reflecting the difference in the average length of hospital stay by disease at the hospital The process of calculating the length of hospital stay, and comparing the target average length of stay by disease and the length of hospital stay for each disease of the currently hospitalized patient, A step of calculating, and a screen displaying whether the calculated degree of influence exceeds the average length of hospitalization, and displaying a warning for the degree of influence exceeding the average length of hospitalization, To do.

  According to the present invention, since the medical staff is warned of a deviation from the target average hospital stay, an incentive is given to the health professional to shorten the average hospital stay, which greatly affects the medical insurance score. Can do. Furthermore, since the hospital administrator can grasp the status of the inpatient in real time, the hospitalization period of the patient can be substantially shortened.

Hereinafter, embodiments of the present invention will be described with reference to the drawings.
FIG. 1 is a schematic diagram showing the overall configuration of an in-hospital incentive provision system for shortening the length of hospital stay according to an embodiment of the present invention. In FIG. 1, the hospitalization hospital days shortening incentive grant system according to the embodiment of the present invention is based on information in various databases (abbreviated as DB) 21 to 31 in the server 20 when logging in from the client 10. Clients with a list of inpatients that have been processed for display by performing an average in-hospital day totaling process that gives a shortened incentive, a patient target in-hospital day difference calculation / DPC hospitalization status confirmation process, an inpatient list editing process, and an inpatient list display process 10 and a client 10 connected to the server 20 via a network 40 such as a LAN, and having a function of displaying a list of hospitalized patients displayed on the server 20 on a display.

  In the above configuration, the server 20 includes an average length of stay totalization process 1, a daily batch patient target length of stay difference calculation and a DPC hospitalization status confirmation process 2, an inpatient list editing process 3, an inpatient list display process 4, and The order processed by the reservation system order (update / deletion) process 5 related to the online process is stored in the mail box 6 for each user, and the mail notification process 7 is appropriately executed for the user.

  It is to be noted that the reservation processing order (update / deletion) processing 5 related to the online processing is stored in the mail box 6 for each user, and the mail notification processing 7 is appropriately executed for the user. If there is a cancellation or if the surgery application is canceled, the information will be sent to the attending physician of the patient who has exceeded the target length of stay or is likely to exceed the length of stay in the hospital or is scheduled to stay overnight immediately before the examination or operation. The purpose of the announcement is to shorten the length of hospitalization by eliminating the vacancy in the examination or operation of the patient. This will be described later.

  The various DBs include discharge summary DB 21, disease-specific average hospital stay management DB 22, patient-specific disease name DB 23, DPC diagnosis group classification master 24, target average hospital stay master 25, patient-specific DPC information DB 26, hospitalization information DB 27, An inpatient list DB 28, an examination reservation DB 29, a pass application patient information DB 30, and an order instruction history DB 31 are provided. Some examples of the data structures of the various DBs are shown in FIG.

  FIG. 2 is a flowchart for explaining the operation of the patient target hospital stay difference calculation and the DPC hospitalization status confirmation processing in the server according to the embodiment of the present invention shown in FIG. 1. 2 will be described with reference to the configuration of FIG. 1 and the data structures and data flows of various DBs of FIG. In FIG. 2, the server 20 first tabulates the total number of inpatients in the last two months with reference to related DBs such as the inpatient list DB 28 and the inpatient information DB 27 (step 21). Next, the server 20 refers to the hospitalization information DB 27 and calculates the number of newly hospitalized patients for the two months (step 22). Further, the server 20 refers to the discharge summary DB 21 and calculates the number of newly discharged patients for the two months (step 23). As shown in FIG. 5, the discharge summary DB 21 has items of hospitalization date, discharge date, patient name, hospital department, main disease name, disease name code, and hospitalization date for each discharged patient. Record the data.

  Next, the server 20 refers to the discharge summary DB 21 and performs an average hospital stay calculation process (step 24). The average length of hospital stay is usually calculated based on the hospitalization status for 3 months. In the present invention, the average length of hospitalization is calculated based on the hospitalization status for 2 months. Then, the server 20 refers to the target average length of stay master 25 and performs a comparison process between the target average length of stay and the average length of stay for two months to calculate the difference days (step 25). Referring now to the data flow diagram of FIG. 5, the average hospital stay for the past two months obtained by the calculation process of step 24 is 22 days, and when the target average hospital stay master 25 is referred, the target day is 20 Since it is a day, it is shown that the number of difference days calculated by the comparison process in step 25 is two days.

  In addition, the server 20 calculates the target length of stay by reflecting the difference days in the average length of stay by disease stored in the disease-specific average length of stay management DB 22 (step 26). As shown in FIG. 5, the disease-specific average hospital stay management DB 22 records the average hospital stay for each main disease name. Among the main disease names, “gastric ulcer” surrounded by a thick frame indicates that the hospitalization summary of the two patients who were discharged with “gastric ulcer” in the discharge summary DB 21 was averaged. When the difference days are reflected on the average hospital stays managed by such disease-specific average hospital stay management DB 22, as shown in the data flow diagram of FIG. 5, the main disease name target hospital stay days considering the differences are obtained. It is a value that is calculated and is shortened by two days from the average length of stay in hospital, which is stored in the disease-specific average length of stay management DB 22.

  Then, the server 20 refers to the DPC diagnosis group classification master 24 and confirms the current hospitalization status from the viewpoint of DPC diagnosis group classification (step 27). In the DPC diagnosis group classification master 24, as shown in FIG. 5, the number of days of hospitalization period I and the number of days of hospitalization period II shown in FIG. 9 are recorded for each DPC code. Which of the DPC codes corresponds is known by referring to the patient-specific DPC information DB 26. Finally, the server 20 writes the difference between the current hospitalized patient's hospital stay and the target hospital stay and the DPC hospital stay comparison status in the inpatient list DB 28 (step 28).

  The inpatient list DB 28 in the data flow diagram of FIG. 5 shows the contents of the inpatient list DB as of February 11, 2006 as an example. For example, an angina patient with patient ID 19 has a hospitalization date of February 1, 2006, and as of February 11, 2006, the hospital stay is 11 days. Exceeded (+) and this excess has been shown to have already exceeded the length of stay II in DPC, and the diabetic patient ID 28 has a hospitalization date of February 5, 2006 and as of February 11, 2006 However, since the hospital stay period is 7 days, it is 2 days before (-display) the target hospital stay period 9 days considering the difference, but it is shown that the hospitalization period I in DPC is exceeded. Note that a warning is displayed when the hospitalization period II is exceeded (+ display) and the hospitalization period II exceeds the DPC, but no warning is displayed before the hospitalization period I before (-display) and DPC.

  FIG. 3 is a flowchart for explaining the operation of the in-patient list display process in the server according to the embodiment of the present invention shown in FIG. 3 will be described with reference to the configuration of FIG. 1 and the data structures and data flows of various DBs of FIG. In FIG. 3, the server 20 performs a login process in response to a login from the client 10 (step 31). Next, the server 20 reads the hospitalized patient list DB 28 in which the difference between the current hospital stay and the target hospital stay and the DPC hospital stay comparison status are recorded (step 32). Then, the server 20 performs an existing item screen set process (step 33). This existing item screen set process is a process of filling item data obtained by an existing method in a formatted display screen. Next, the server 20 performs a new item screen set process (step 34). This will be described in detail with reference to FIG. If the process of step 34 is completed, the hospitalized patient list display process is terminated.

  In the client login screen of FIG. 1, an inpatient list display 12 is made. When the target hospital stay days are exceeded in this list display, a warning is displayed with a color mark (eg, red) for the excess days. In the above description, the list display including the warning display contents is displayed on the login screen. However, the list display is not limited to this, and the ward list can be displayed separately for each ward. This gives an incentive to the medical staff of the hospital to pay within the target length of stay in the third month, which is the final month.

  FIG. 4 is a flowchart for explaining the operation of the new item screen set process in the inpatient list display process according to the embodiment of the present invention shown in FIG. 4 will be described with reference to the configuration of FIG. 1, the operation flow of FIG. 2, the various DBs and the data flow of FIG. In FIG. 4, the server 20 sets a numerical value as an item for the difference from the target length of stay calculated in step 25 of FIG. 2 (step 41). That is, as shown in FIG. 5, the main disease name target hospital stay days reflecting the difference days (2 days) with respect to the average hospital stays managed by the disease-specific average hospital stay management DB 22 are calculated, and a numerical value is set in the item.

  Next, since the length of stay for each main disease name is known from the logon date and hospitalization date, it is determined whether the length of stay exceeds the target length of stay (step 42). If the target hospital stay is exceeded, a warning is displayed with a color mark, for example, the color mark is displayed in red and a warning is displayed on the excess days (step 43). Then, after displaying a warning with a color mark, the new item screen setting process is terminated. If the target hospital stay has not been exceeded in step 42, the new item screen set process is terminated.

  As a result, when the length of hospital stay exceeds the target length of stay on the client login screen, a warning is displayed with a color mark with good visibility. The eye will be given an incentive to pay within the target length of stay.

  FIG. 6 is a diagram showing a screen display example of the patient list display according to the embodiment of the present invention, in which the data subjected to the patient list display processing by the server side is displayed on the login screen of the client. The screen display in the case of FIG. 6 is an example of a ward patient list display, but may be an example of a hospitalized patient list display. A warning is displayed with a color mark for those that have exceeded (+ displayed) the difference in target hospital days and those that have exceeded the hospitalization period II in DPC hospital days.

FIG. 7 and FIG. 8 are diagrams for explaining a processing flow for complementing the above-described in-hospital shortening incentive provision method.
FIG. 7 is a diagram showing a processing flow when an inspection reservation is canceled according to the embodiment of the present invention. FIG. 7 will be described with reference to the configuration of FIG. FIG. 7 starts when the inspection reservation is canceled. Then, in step 71, it is checked whether there is a patient to whom the examination is extended as a clinical pass application patient. If there is a patient to be stretched, the process proceeds to step 75 to notify the attending physician of the patient by email. The mail notification processing in this case is the online processing of FIG. 1, that is, the order processing is performed in the reservation order processing 5 with reference to the examination reservation DB 29, the pass application patient information DB 30, and the order instruction history DB 31, and the applied order processing is performed. This is realized by storing in the user-specific mail box 6, opening the user-specific mail box 6 by starting a timer, etc., and automatically performing the mail notification processing 7. A clinical path is a schedule table that summarizes hospitalization guidance, patient orientation, testing, care procedures, test items, discharge guidance, etc. for patients with certain diseases or illnesses. A clinical pass patient refers to a patient who has such a schedule.

  It is determined whether or not the attending physician has made a reservation by the next day of the notification regarding the clinical pass application patient by mail notification to the attending physician in step 75 (step 76). If a reservation has been made, the process ends. If no reservation has been made, the process proceeds to step 72. Further, if there is no patient to be stretched in step 71, the process proceeds to step 72.

  In step 72, it is determined whether or not there are any patients whose DPC is decreasing and the examination has been entered thereafter. Incidentally, the DPC decreasing patient refers to a patient who has entered the DPC decreasing period. If there is a DPC diminishing patient and the patient who has entered the examination after that, the process proceeds to step 75 to notify the attending physician of the patient by e-mail. The mail notification to the attending physician in step 75 determines whether the attending physician is a DPC decreasing patient and the patient who has entered the examination after that has made a reservation by the next day of notice (step 77). If a reservation has been made, the process ends. If no reservation has been made, the process proceeds to step 73. In step 72, if there is no patient whose DPC is decreasing and the patient has entered the examination, the process proceeds to step 73.

  In step 73, it is determined whether the hospitalization period has exceeded the average length of hospitalization by disease and there is no patient who has entered the examination. If the hospitalization period exceeds the average length of hospital stay by disease and there is a patient who has entered the examination, the process proceeds to step 75, and the attending physician of the patient is notified by e-mail. It is determined in the mail notification to the attending doctor in step 75 whether or not the attending period of the attending doctor exceeds the average length of stay for each disease and the patient has entered the examination by the next day after the notice (step 78). ). If a reservation has been made, the process ends. If no reservation has been made, the process proceeds to step 74. Also, in step 73, the hospitalization period exceeds the average hospital stay by disease, and the process proceeds to step 74 even when there is no patient who has entered the examination.

  In step 74, it is determined whether there is any patient who has entered the examination. If there is a patient who has entered the examination thereafter, the process proceeds to step 75, and the attending physician of the patient is notified by e-mail. Since the attending doctor is not a patient corresponding to Steps 76 to 78 in the mail notification to the attending doctor in Step 75, the process is terminated. In step 74, the process is also terminated when there is no patient who has entered the examination.

  FIG. 8 is a diagram showing a processing flow when there is a surgical application cancellation according to the embodiment of the present invention. FIG. 8 starts when a surgical application cancellation occurs. Then, in step 81, it is checked whether there is a subject patient who is a clinical path application patient and the scheduled operation date is extended and an operation within the operation time is scheduled. If there is a target patient, the process proceeds to step 85, and the attending physician of the patient is notified by e-mail. Since the mail notification process in this case has been described with reference to FIG. 7, it will not be described again here. A clinical path is a schedule table that summarizes hospitalization guidance, patient orientation, testing, care procedures, test items, discharge guidance, etc. for patients with certain diseases or illnesses. A clinical pass patient refers to a patient who has such a schedule.

  It is determined whether or not the attending physician has made a reservation for the clinical pass application patient by the next day of the notification by e-mail notification to the attending physician in step 85 (step 86). If a reservation has been made, the process ends. If no reservation has been made, the process proceeds to step 82. Further, if there is no subject patient in step 81, the process proceeds to step 82.

  In step 82, it is determined whether there is a patient whose DPC is gradually decreased and an operation within the operation time is scheduled thereafter. Incidentally, the DPC decreasing patient refers to a patient who has entered the DPC decreasing period. If there is a patient whose DPC is decreasing and there is a patient scheduled for an operation within the operation time, the process proceeds to step 85 to notify the attending doctor of the patient by e-mail. It is determined whether or not an appointment is made by the next day of notification for a patient whose attending doctor is a DPC gradually decreasing patient and an operation within the operation time is scheduled after that in the mail notification to the attending doctor in Step 85 (Step 87). If a reservation has been made, the process ends. If no reservation has been made, the process proceeds to step 83. In step 82, the process also proceeds to step 83 if there is no patient whose DPC is gradually decreased and there is no patient scheduled for an operation within the operation time.

  In step 83, it is determined whether or not there is a patient whose hospitalization period has exceeded the average number of hospitalization days by disease and an operation within the operation time is scheduled thereafter. If the hospitalization period has exceeded the average length of stay by disease and there is a patient scheduled for surgery within the surgery time, the process proceeds to step 85, and the attending physician of the patient is notified by email. In the email notification to the attending physician in step 85, whether or not the attending physician has exceeded the average length of hospital stay by disease and the appointment was made by the next day for the patient scheduled for surgery within the operation time. Determination is made (step 88). If a reservation has been made, the process ends. If no reservation has been made, the process proceeds to step 84. Further, if the hospitalization period exceeds the average length of stay by disease in step 83 and there is no patient scheduled for the operation within the operation time, the process proceeds to step 84.

  In step 84, it is determined whether or not there is a patient scheduled for an operation within the operation time. If there is a patient scheduled for an operation within the operation time, the process proceeds to step 85 to notify the attending physician of the patient by e-mail. Since the attending physician is not a patient corresponding to Steps 86 to 88 in the mail notification to the attending physician in Step 85, the processing is terminated. In step 84, the process is also terminated when there is no patient scheduled for the surgery within the surgery time.

As described above, if there is an inspection reservation cancellation or an operation application cancellation, the target average hospital stay is exceeded, or the possibility of exceeding the average hospital stay is high, and it is likely that the average hospital stay will be exceeded. Announcement of the cancellation information to the patient's attending physician, and the attending physician can shorten the length of hospital stay by taking steps to eliminate the vacant examination or surgery of the patient, thereby shortening the hospital stay Incentive granting methods can be supplemented.
In summary, the present invention has the following configuration.

(Appendix 1) An incentive granting method for shortening the length of stay in hospital, which aims to shorten the average length of stay in hospital, which greatly affects the medical insurance score,
Calculating the difference between the target average length of stay at the hospital and the average length of stay at the hospital for the last two months;
The process of calculating the target average length of stay by disease for patients currently hospitalized reflecting the difference in the mean length of stay by disease in the hospital,
Comparing the target mean hospital stay by disease and the hospitalization period by disease of the currently hospitalized patient to calculate the degree of influence of the currently hospitalized patient on the average hospital stay at the third month;
Whether the calculated degree of influence exceeds the average length of stay on the screen, and displaying a warning for the degree of influence exceeding the average length of stay,
An incentive granting method for shortening the length of hospital stay, characterized by comprising:

  (Supplementary note 2) The above-mentioned influence degree exceeding the average length of hospitalization is indicated by the difference days from the average length of hospitalization and the DPC hospital days comparison status, and the incentive for shortening the length of hospitalization according to supplementary note 1 is provided Method.

  (Supplementary note 3) The hospitalization according to Supplementary note 1 or 2, wherein the warning display is a color mark that can be visually consciously overlaid on the degree of influence and displayed on the login screen and / or the ward patient list display screen. Incentive method to shorten hospital stays.

(Supplementary note 4) The incentive provision method for shortening the length of stay in hospital according to supplementary note 3, wherein the color mark is a red-colored system with good visibility.
(Appendix 5) If there is an inspection reservation cancellation or surgery application cancellation,
Announcement of the cancellation information to the attending physician of the patient who is scheduled to stay overnight just before the examination or operation, which exceeds the target average length of stay or is likely to exceed the average length of stay;
A process in which the attending doctor notifies the patient of an examination or surgery reservation based on the announcement;
The method for providing an incentive for shortening the length of hospital stay according to any one of claims 1 to 4, further comprising:

(Appendix 6) A hospitalization hospitalization days shortening incentive grant system comprising: a server having various databases; and a client that logs into the server and acquires patient list display information of patients currently hospitalized.
To the server,
Means for calculating the difference between the target average length of stay at the hospital and the average length of stay at the hospital for the last two months;
Means for reflecting the difference in the average length of stay by disease in the hospital and calculating the target average length of stay by disease for patients currently hospitalized;
A means for calculating the degree of influence that the currently hospitalized patient has on the average hospital stay in the third month by comparing the target average hospital stay by disease and the hospitalization period by disease of the currently hospitalized patient,
To the client,
Whether the calculated degree of influence exceeds the average length of stay on the screen, and has means for displaying a warning for the degree of influence exceeding the average length of stay.
An incentive grant system that shortens the length of hospital stay.

(Supplementary note 7) When there is an inspection reservation cancellation or surgical application cancellation,
The server
Means for announcing the cancellation information to the attending physician of the patient who is scheduled to stay overnight just before the examination or operation, which has exceeded the target average length of stay or is likely to exceed the average length of stay;
Means for notifying the appointment of the examination or operation of the patient based on the announcement by the attending physician;
The incentive granting system for shortening the length of hospitalization according to appendix 6, further comprising:

It is the schematic which shows the whole structure of the hospitalization hospitalization days shortening incentive provision system which concerns on embodiment of this invention. It is a flowchart for demonstrating operation | movement of the patient target hospital stay difference difference calculation in a server which concerns on embodiment of this invention, and DPC hospitalization status confirmation processing. It is a flowchart for demonstrating operation | movement of the hospitalized patient list display process in the server which concerns on embodiment of this invention. It is a flowchart for demonstrating operation | movement of the new item screen set process in the inpatient list display process which concerns on embodiment of this invention shown in FIG. It is a figure which shows the data structure and data flow of various DB which concern on embodiment of this invention. It is a figure which shows the example of a screen display of the patient list display which concerns on embodiment of this invention. It is a figure which shows the processing flow when there exists inspection reservation cancellation which concerns on embodiment of this invention. It is a figure which shows the processing flow when there is surgery application cancellation based on embodiment of this invention. It is a time chart for demonstrating the diagnostic group classification | category comprehensive evaluation (DPC) of acute-stage hospitalization medical care.

Explanation of symbols

10 clients 20 servers 21 discharge summary DB
22 Average hospital stay management DB by disease
21 discharge summary DB
22 Average hospital stay management DB by disease
23 Patient-specific disease name DB
24 DPC diagnosis group classification master 25 Target average length of stay master 26 Patient-specific DPC information DB
27 Hospitalization information DB
28 Inpatient List DB
29 Inspection reservation DB
30 pass patient information DB
31 Order instruction history DB
40 network

Claims (3)

A server computer having a database that functions as a hospitalization situation management device ,
An average hospital stay is calculated from the number of hospital stays of past hospitalized patients in the hospital stored in the database, and a first difference days that is a difference from the target average hospital stay in the hospital stored in the database is calculated. Means for calculating;
Reflecting the first difference days in the disease-based average hospitalization days calculated by disease from the hospitalization days of past hospitalized patients in the hospital stored in the database, the target average hospitalization days by disease for patients currently hospitalized Means for calculating
It means for calculating a second difference in days which is a difference between the hospitalization period of the current hospitalized patients with the disease from another target average length of stay,
A server computer comprising: By referring to the diagnosis group classification comprehensive evaluation (DPC) of the currently hospitalized patient stored in the database, the target mean hospital stay by disease is the situation with respect to the hospitalization period in the diagnosis group classification comprehensive evaluation (DPC). Means for determining the DPC hospital stay comparison status shown,
The server computer according to claim 1 , further comprising: Computer
Calculate the average length of hospital stay from the number of hospital stays of past hospitalized patients in the database stored in the database, and calculate the first difference number of days that is the difference from the target average length of hospital stay in the hospital stored in the database The process of
Reflecting the first difference days in the disease-based average hospitalization days calculated by disease from the hospitalization days of past hospitalized patients in the hospital stored in the database, the target average hospitalization days by disease for patients currently hospitalized The process of calculating
Calculating a second difference days, which is a difference between the disease-specific target average length of stay and the hospitalization period of the currently hospitalized patient;
The hospitalization situation management method characterized by performing .