KR20180003345A - Apparatus and method for providing information of medical cost and lengh of stay of patient - Google Patents

Abstract

An apparatus and method for providing the information of a medical cost and the length of stay of a patient are disclosed. The apparatus for providing the information of a medical cost and the length of stay of a patient according to an exemplary embodiment of the present invention, comprises a data collection part for collecting the discharge patient information of discharge patients, a data classifying part for classifying the discharge patients into predetermined categories based on the discharge patient information, a statistical analysis part for analyzing the average length of stay and the average medical cost of the discharge patients belonging to the category according to the classified category, and a guide part for calculating and guiding the estimated length of stay and the estimated medical cost of estimated patients based on the average length of stay and the average cost of discharge patients in a category corresponding to the estimated patients.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method and apparatus for providing information on the number of days of hospitalization,

Embodiments of the present invention are directed to techniques for providing information about hospitalization days and medical costs for a hospitalized patient.

Generally, when a patient is hospitalized in a hospital, it only provides information on the patient's ward and does not provide specific information on how long it takes to enter the hospital and how much it costs. This is because it is difficult to predict this in hospitals. As a result, it is inconvenient for the patient to make plans and budget for the future according to the hospitalization, and it is difficult to predict the timing of hospitalization of the inpatient .

Korean Patent Publication No. 10-2003-0025640 (Mar. 29, 2003)

An embodiment of the present invention is to provide an apparatus and a method for providing information on the number of days of hospitalization and the cost of medical care for a hospitalized patient, the number of hospital days and the medical cost information.

According to an exemplary embodiment of the present invention, there is provided an apparatus for providing information on the number of hospital days and a medical cost, comprising: a data collection unit for collecting discharge patient information of discharge patients; A data classifying unit classifying the discharged patients into predetermined categories based on the discharged patient information; A statistical analysis unit for analyzing the average hospitalization days and average medical expenses of discharged patients belonging to the category by the classified categories; And a guide unit for calculating and forecasting the estimated number of days of hospitalization and the estimated medical expenses based on the average hospitalization days and the average medical expenses of the discharged patients in the category corresponding to the expected hospitalized patients.

The discharged patient information may include basic information on the patient classification of the discharged patient, the date and time of the hospitalization, the date and time of discharge, and the medical cost information.

Wherein the patient classification basic information includes at least one of a DRG (Diagnosis Related Group) code, a CP (Critical Pathway) code, a medical care section code, a corporal punishment code, and a surgical code, The discharged patients can be classified into one of DRG patients, CP patients, and general patients.

If the DRG code is included in the patient classification basic information, the data classification unit classifies the discharged patient as a DRG patient, and classifies the discharged patient as a CP patient when the CP code is included in the patient classification basic information , And if the DRG code and the CP code are not included in the patient classification basic information, the discharged patient can be classified as a general patient.

The statistical analysis unit analyzes the average hospitalization days and the average medical expenses for each DRG code for discharge patients classified as the DRG patient for a predetermined period and measures the average hospitalization days and the average medical expenses for the discharged patients classified as the CP patients for the predetermined period The average length of stay and the average medical cost for each CP code are analyzed, and the average number of days of hospitalization and the average medical cost are determined according to at least one of the surgical code and the disease code for the patients discharged to the general patient during the predetermined period. Can be analyzed.

If the number of discharged patients included in the classified category exceeds the preset reference number, the statistical analysis unit may sort the discharged patients included in the category by the medical cost or the number of days in the hospital, The average length of hospital stay and the average cost of medical care can be analyzed for discharged patients who are discharged from the group.

The guide unit may calculate an estimated medical cost of the hospitalized patient by multiplying an average medical cost of the discharged patients in the category corresponding to the hospitalized patient, by a preset addition ratio.

Wherein the hospital discharge information includes information related to the hospital discharge of the patient discharged from the hospital, the number of days of hospitalization and the medical cost information providing apparatus are provided in the hospital And a bedside management unit for managing the allocation of the bedrooms.

The method of providing a patient's number of days and a medical cost information according to an exemplary embodiment includes a method performed on a computing device having one or more processors and a memory storing one or more programs executed by the one or more processors Collecting discharge patient information of discharged patients; Classifying the discharged patients into predetermined categories based on the discharged patient information; Analyzing the average number of days of hospitalization and the average medical cost of discharged patients belonging to the category by the classified category; And estimating the estimated number of days of hospitalization and the estimated medical expenses based on the average hospitalization days and the average medical expenses of the discharged patients in the category corresponding to the scheduled inpatient.

The discharged patient information may include basic information on the patient classification of the discharged patient, the date and time of the hospitalization, the date and time of discharge, and the medical cost information.

Wherein the patient classification basic information includes at least one of a DRG (Diagnosis Related Group) code, a CP (Critical Pathway) code, a medical care code, a disease code, and a surgical code, , The discharged patients can be classified into one of DRG patients, CP patients, and general patients.

Wherein the classifying step classifies the discharged patient as a DRG patient when the DRG code is included in the patient classification basic information and classifies the discharged patient as a CP patient when the CP code is included in the patient classification basic information And if the DRG code and the CP code are not included in the patient classification basic information, the discharged patient can be classified as a general patient.

Analyzing the average number of hospital days and the average medical expenses for each DRG code for discharge patients classified as the DRG patient for a predetermined period of time; Analyzing the average hospitalization days and the average medical expenses for each of the CP patients for the discharged patients classified as the CP patients during the predetermined period; And analyzing the average number of days of care and the average medical cost according to at least one of a surgical code and a disease code for each of the departments of the discharged patients classified as the general patient for the predetermined period.

Wherein the analyzing step includes the steps of: sorting the discharged patients included in the category by the medical expenses or the number of days in the hospital when the number of discharged patients included in the classified category exceeds a preset reference number; The average length of hospital stay and the average cost of medical care can be analyzed for the discharged patients who are discharged from the hospital except those discharged from the subgroups.

The guiding step may calculate the estimated medical cost of the hospitalized patient by multiplying the average medical cost of the discharged patients in the category corresponding to the hospitalized patient by the preset addition ratio.

Wherein the discharge patient information further includes information related to the patient in the discharged patient and managing the allocation of the patient in the hospital based on the information on the patient in the hospital and the expected number of days in the hospital As shown in FIG.

According to the embodiment of the present invention, by statistically analyzing the average number of days of hospitalization and the average medical cost for patients discharged from the hospital, statistical analysis information for each hospitalized patient is calculated using the statistical analysis information corresponding to the patient classification, You will be able to guide your anticipated healthcare costs. In this case, the hospitalized patient can know how long he / she will be hospitalized and how much the medical expenses will take, so that a proper living plan can be established accordingly. In addition, from the viewpoint of the hospital, the expected hospitalization days and the expected medical expenses are informed to the hospitalized patients, thereby increasing the patient satisfaction of the patients and increasing the turnover rate of the patients by predicting the discharge time of each patient.

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a block diagram showing the configuration of an apparatus for providing information on the number of hospital days and a medical cost information according to an exemplary embodiment of the present invention; FIG.
FIG. 2 is a flowchart illustrating a method of providing information on days of hospitalization and medical cost information of a patient according to an embodiment of the present invention.
3 is a block diagram illustrating and illustrating a computing environment including a computing device suitable for use in the exemplary embodiments.

Hereinafter, specific embodiments of the present invention will be described with reference to the drawings. The following detailed description is provided to provide a comprehensive understanding of the methods, apparatus, and / or systems described herein. However, this is merely an example and the present invention is not limited thereto.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. In the following description, well-known functions or constructions are not described in detail since they would obscure the invention in unnecessary detail. The following terms are defined in consideration of the functions of the present invention, and may be changed according to the intention or custom of the user, the operator, and the like. Therefore, the definition should be based on the contents throughout this specification. The terms used in the detailed description are intended only to describe embodiments of the invention and should in no way be limiting. Unless specifically stated otherwise, the singular form of a term includes plural forms of meaning. In this description, the expressions "comprising" or "comprising" are intended to indicate certain features, numbers, steps, operations, elements, parts or combinations thereof, Should not be construed to preclude the presence or possibility of other features, numbers, steps, operations, elements, portions or combinations thereof.

On the other hand, an embodiment of the present invention may include a program for performing the methods described herein on a computer, and a computer-readable recording medium including the program. The computer-readable recording medium may include a program command, a local data file, a local data structure, or the like, alone or in combination. The media may be those specially designed and constructed for the present invention, or may be those that are commonly used in the field of computer software. Examples of computer-readable media include magnetic media such as hard disks, floppy disks and magnetic tape, optical recording media such as CD-ROMs and DVDs, and specifically configured to store and execute program instructions such as ROM, RAM, flash memory, Hardware devices. Examples of such programs may include machine language code such as those produced by a compiler, as well as high-level language code that may be executed by a computer using an interpreter or the like.

FIG. 1 is a block diagram showing a configuration of an apparatus for providing information on the number of hospital days and a medical cost according to an exemplary embodiment of the present invention.

1, a patient's number of days and medical cost information providing apparatus 100 includes a data collecting unit 102, a data classifying unit 104, a statistical analyzing unit 106, a storage unit 108, a guide unit 110, and a bedside management unit 112.

The data collection unit 102 collects the discharged patient information on the discharged patients. Here, the discharge patient information may include patient identification information, basic information on the classification of the patient, information on the date and time of the hospitalization, information on the date of discharge, information on the medical expenses, and information on the room. The patient identification information is information capable of uniquely identifying the patient, for example, a patient number, a resident registration number, and the like. The patient classification basic information may include at least one of, for example, a Diagnosis Related Group (DRG) code, a Critical Pathway (CP) code, a medical care code, a corporal code, and a surgical code . The admission date and time information includes information on the date and time when the patient was hospitalized. The discharge date and time information includes information on the date when the patient was discharged. The medical cost information includes information about the medical costs incurred during the hospitalization of the patient. Medical cost information may include, for example, total medical costs, self-paying costs (non-paying costs), and insurance coverage costs (payroll costs). The information related to the ward may be information related to the ward in which the patient is admitted, for example, the ward number, the maximum capacity of the ward, and the like.

The data collecting unit 102 collects the discharged patient information of each discharged patient through an input unit (not shown) (for example, a keyboard, a mouse, a touch screen, etc.) Can be input. However, the present invention is not limited to this, and the data collection unit 102 may be connected to other computing devices (for example, a personal computer (PC), a notebook, a tablet, The patient information may be collected and collected. The data collecting unit 102 may collect the discharged patient information at a predetermined period (for example, a day, a week, etc.), but the present invention is not limited thereto. The collected data may be collected in real time whenever a discharged patient occurs .

The data classification unit 104 classifies each patient based on the patient classification basic information included in the discharged patient information. Specifically, if the DRG (Diagnosis Related Group) code is included in the patient classification basic information, the data classification unit 104 can classify the patient as a DRG patient. DRG patients refer to patients who are covered by comprehensive medicine and who only pay a predetermined fee. DRG patients can be categorized according to DRG code as natural childbirth, cecal surgery, cataract surgery, cesarean section, hemorrhoid surgery, and hernia surgery. If the CP (Critical Pathway) code is included in the patient classification basic information, the data classification unit 104 may classify the patient as a CP patient. CP patients refer to patients who are treated with standardized care guidelines (hereinafter referred to as "standard care guidelines"), such as the order of treatment, the timing of treatment, the course of treatment,

If the DRG code and the CP code are not included in the patient classification basic information, the data classification unit 104 can classify the patient as a general patient. That is, the general patient may refer to patients other than DRG patients and CP patients. The data classification unit 104 can classify general patients according to at least one of a medical care code, a disease code, and an operation code included in the patient classification basic information. For example, the data classification unit 104 may classify general patients into first-order classification according to a medical care code. In addition, the data classification unit 104 may classify general patients into secondary classification according to the CPC code for each medical care department. Alternatively, the data classification unit 104 may classify general patients into second sub-categories according to operation codes for each of the medical care units.

The statistical analysis unit 106 may analyze at least one of the average number of hospital days and the average medical cost for each category classified by the data classification unit 104. [ Here, the number of days of hospitalization means the number of days from the date of hospitalization to the date of discharge from the patient. In an exemplary embodiment, the statistical analysis unit 106 may analyze the average hospitalization days and average medical costs for discharged patients classified as DRG patients for a predetermined period (e.g., past one year). At this time, the statistical analysis unit 106 can analyze the average hospitalization days and the average medical expenses of DRG patients by DRG code. That is, in the case of a DRG patient, the statistical analysis unit 106 can perform statistical analysis based on the DRG code regardless of the operation code and the CPC code.

In addition, the statistical analysis unit 106 can analyze the average hospitalization days and the average medical expenses for discharged patients classified as CP patients for a predetermined period (for example, past one year). At this time, the statistical analysis unit 106 may analyze the average hospitalization days and the average medical costs of the DRG patients according to CP codes. That is, in the case of a CP patient, the statistical analysis unit 106 can perform statistical analysis based on CP codes regardless of an operation code and a CP code.

Also, the statistical analysis unit 106 can analyze the average hospitalization days and the average medical expenses for discharged patients classified as general patients for a predetermined period (for example, past one year). At this time, the statistical analysis unit 106 can analyze the average hospitalization days and the average medical expenses of the general patients according to the operation codes for each department. That is, in the case of a general patient who underwent surgery, the statistical analysis unit 106 can analyze the average hospitalization days and the average medical expenses of the general patients according to the operation code for each department. Alternatively, the statistical analysis unit 106 may analyze the average hospitalization days and the average medical expenses of the general patients according to the disease code for each department. That is, in the case of a general patient who has not undergone surgery, the statistical analysis unit 106 can analyze the average hospitalization days and the average medical expenses of the general patients according to the disease code for each department. However, the present invention is not limited to this, and even the general patient who has undergone surgery can analyze the average hospitalization days and the average medical expenses of the general patients according to the infectious disease code and operation code for each department.

When the number of patients in the classified category exceeds the preset reference number, the statistical analysis unit 106 arranges each patient in the order of the medical expenses or the number of days of hospitalization, so that the remaining patients except for the upper- The average length of stay and the average cost of medical care can be analyzed. In an exemplary embodiment, the statistical analysis unit 106 sorts each patient by the medical cost or the number of days of hospitalization, if the number of the classified patients exceeds a predetermined reference number (for example, 30) The average length of stay and the average cost of medical care can be analyzed for the remaining 80% of the patients except for the upper group and lower 10% of the patients. The statistical analysis unit 106 may update the statistical analysis information at a predetermined period (for example, a week).

The storage unit 108 may store the discharged patient information collected by the data collection unit 102. The storage unit 108 may store patient classification information classified by the data classification unit 104. The storage unit 108 may store the statistical analysis information performed by the statistical analysis unit 106. The storage unit 108 may be provided in the device 100 for providing information on the number of days of the patient and the medical cost information, but is not limited thereto. The storage unit 108 may be provided in an external device separate from the device cost information providing device 100 .

The guidance unit 110 may guide at least one of the estimated number of days of the hospitalization and the expected medical expenses for the hospitalized patient. Specifically, the guide unit 110 can calculate the estimated number of days of hospitalization and the estimated medical cost based on the patient classification basic information and the stored statistical analysis information of the patient scheduled to be hospitalized. The guide unit 110 may receive the patient classification basic information of the patient scheduled to be hospitalized through an input unit (not shown) provided in the patient's number of days and the medical cost information providing apparatus 100. [ Alternatively, it is possible to wirelessly or wiredly connect with other computing devices (for example, a personal computer (PC), a notebook, a tablet, etc. installed in the main office or each department, and the like) It is possible. The guide unit 110 may display the estimated number of days of hospitalization and the expected medical expenses of the hospitalized patient on a screen, output it to a speaker, or print it on a printer and guide it.

The guide unit 110 can confirm whether the hospitalized patient is a DRG patient, a CP patient, or a general patient based on the patient classification basic information of the hospitalized patient. That is, the guide unit 110 can classify the hospitalized patient as one of DRG patient, CP patient, and general patient based on the patient classification basic information of the hospitalized patient. For example, when the hospitalized patient is a DRG patient, the guide unit 110 stores the stored statistical analysis information (that is, the average hospitalization days and the average medical costs of the DRG code patients) matching with the DRG code of the hospitalized patient And estimate the expected number of days of hospitalization and expected healthcare costs for the hospitalized patients. At this time, the guide unit 110 may set the average number of days of hospitalization of the DRG code patients to the estimated number of days of hospitalization of the corresponding scheduled inpatient in the previously stored statistical analysis information. The guide unit 110 may calculate the estimated medical cost of the patient scheduled to be hospitalized by multiplying the average medical cost of the DRG code patients by the preset addition ratio (for example, 130%) in the pre-stored statistical analysis information. In other words, in the case of the expected medical cost, the patient can be guided to an amount higher than the average medical cost of the DRG code patients, so that even if the actual medical cost is higher than the average medical cost of the DRG code patients, do.

In the same manner, when the hospitalized patient is a CP patient, the guide unit 110 stores previously stored statistical analysis information (i.e., the average hospitalization days and the average medical costs of the CP patients) matching the CP code of the hospitalized patient, To estimate the expected number of days of hospitalization and the estimated medical cost of the patient to be hospitalized. In the case where the patient scheduled to be hospitalized is a general patient, the guide unit 110 confirms previously stored statistical analysis information matched with the operation code or the upper-floor code of the hospitalized patient, The cost can be calculated.

The bedside management unit 112 can manage the allocation of the bedrooms in the hospital. The hospital management unit 112 can manage the allocation of the room in the hospital based on the information related to the room included in the discharged patient information and the estimated number of days of the hospitalized patient. That is, the bedside management unit 112 can confirm the information on the currently vacant room using the information related to the room included in the discharged patient information, and allocate the on-boarding patient to the currently empty room. In addition, since the expected number of days of hospitalization of the patient scheduled to be hospitalized can be confirmed, the discharge date and time of the hospitalized patient can be predicted, so that the patient can be allocated to the hospitalized patient scheduled for the next hospitalization. Accordingly, it is possible to improve the profitability of the hospital by increasing the turnover rate of the hospital in the hospital.

According to the embodiment of the present invention, by statistically analyzing the average hospitalization days and the average medical expenses for the patients discharged from the hospital, statistical analysis information on the hospitalized patients according to the corresponding patient classification, You will be able to guide your anticipated healthcare costs. In this case, the hospitalized patient can know how long he / she will be hospitalized and how much the medical expenses will take, so that a proper living plan can be established accordingly. In addition, from the viewpoint of the hospital, the expected hospitalization days and the expected medical expenses are informed to the hospitalized patients, thereby increasing the patient satisfaction of the patients and increasing the turnover rate of the patients by predicting the discharge time of each patient.

FIG. 2 is a flowchart illustrating a method of providing information on the number of hospital days and medical expenses according to an embodiment of the present invention. Referring to FIG. The method shown in Fig. 2 can be performed, for example, by the above-described patient's number of days of stay and medical cost information providing apparatus 100. [ In the illustrated flow chart, the method is described as being divided into a plurality of steps, but at least some of the steps may be performed in reverse order, combined with other steps, performed together, omitted, divided into detailed steps, One or more steps may be added and performed.

Referring to FIG. 2, the patient's number of days of stay and medical cost information providing apparatus 100 collects discharged patient information of discharged patients (S 101). Here, the discharge patient information may include patient identification information, basic information on the classification of the patient, information on the date and time of the hospitalization, information on the date of discharge, information on the medical expenses, and information on the room.

Next, the patient's number of days of hospitalization and medical cost information providing apparatus 100 classifies each patient based on the patient classification basic information included in the discharged patient information (S 103). The patient's number of days of stay and medical cost information providing apparatus 100 can classify each patient into one of a DRG patient, a CP patient, and a general patient. Here, in the case of a general patient, the patient classification basic information may be first classified according to the medical care code, and second classified according to at least one of the disease code and the surgical code.

Next, the patient's number of days of stay and medical cost information providing apparatus 100 statistically analyzes at least one of the average hospitalization days and the average medical expenses of the patients included in the category by the classified category (S 105). Specifically, the patient's number of days of living and medical cost information providing apparatus 100 can calculate the average hospitalization days and the average medical expenses of patients by DRG code in the case of patients included in the DRG patient category. In addition, the patient's number of days of stay and medical cost information providing apparatus 100 can calculate the average hospitalization days and the average medical costs of patients by CP codes in the case of patients included in the CP patient category. In addition, the patient's number of days and the medical cost information providing apparatus 100 may calculate the average hospitalization days and the average medical expenses of the patients according to at least one of the surgical code and the infectious disease code for each of the patients in the general patient category .

Next, the number of hospital days and the medical cost information providing apparatus 100 receives the patient classification basic information of the patient scheduled to be hospitalized (S 107). The patient classification basic information may include at least one of a DRG code, a CP code, a medical care code, a disease code, and a surgical code.

Next, the patient's number of days of care and the medical cost information providing apparatus 100 calculates the estimated number of days of hospitalization and the estimated medical expenses based on the patient classification basic information and the stored statistical analysis information of the hospitalized patient (S 109). Specifically, the patient's number of days of care and medical cost information providing apparatus 100 classifies the hospitalized patient as a category of DRG patient, CP patient, or general patient based on the patient classification basic information of the hospitalized patient . The number of days of hospitalization and the medical cost information providing device 100 can calculate the estimated number of days of the hospitalization and the estimated medical expenses of the anticipated patient by checking the previously stored statistical analysis information corresponding to the classified category of the anticipatory patient.

3 is a block diagram illustrating and illustrating a computing environment 10 that includes a computing device suitable for use in the exemplary embodiments. In the illustrated embodiment, each of the components may have different functions and capabilities than those described below, and may include additional components in addition to those described below.

The illustrated computing environment 10 includes a computing device 12. In one embodiment, the computing device 12 may be a device (e.g., a patient's number of days of stay and medical cost information providing device 100) for admission-related guidance.

The computing device 12 includes at least one processor 14, a computer readable storage medium 16, The processor 14 may cause the computing device 12 to operate in accordance with the exemplary embodiment discussed above. For example, processor 14 may execute one or more programs stored on computer readable storage medium 16. The one or more programs may include one or more computer-executable instructions, which when executed by the processor 14 cause the computing device 12 to perform operations in accordance with the illustrative embodiment .

The computer-readable storage medium 16 is configured to store computer-executable instructions or program code, program data, and / or other suitable forms of information. The program 20 stored in the computer-readable storage medium 16 includes a set of instructions executable by the processor 14. In one embodiment, the computer-readable storage medium 16 may be any type of storage medium such as a memory (volatile memory such as random access memory, non-volatile memory, or any suitable combination thereof), one or more magnetic disk storage devices, Memory devices, or any other form of storage medium that can be accessed by the computing device 12 and store the desired information, or any suitable combination thereof.

Communication bus 18 interconnects various other components of computing device 12, including processor 14, computer readable storage medium 16.

The computing device 12 may also include one or more input / output interfaces 22 and one or more network communication interfaces 26 that provide an interface for one or more input / output devices 24. The input / output interface 22 and the network communication interface 26 are connected to the communication bus 18. The input / output device 24 may be connected to other components of the computing device 12 via the input / output interface 22. The exemplary input and output device 24 may be any type of device, such as a pointing device (such as a mouse or trackpad), a keyboard, a touch input device (such as a touch pad or touch screen), a voice or sound input device, An input device, and / or an output device such as a display device, a printer, a speaker, and / or a network card. The exemplary input and output device 24 may be included within the computing device 12 as a component of the computing device 12 and may be coupled to the computing device 12 as a separate device distinct from the computing device 12 It is possible.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, but, on the contrary, . Therefore, the scope of the present invention should not be limited to the above-described embodiments, but should be determined by equivalents to the appended claims, as well as the appended claims.

100: the number of hospital days and medical cost information provision device
102: Data collecting unit
104:
106: Statistical Analysis Department
108:
110:
112:

Claims (16)

A data collection unit for collecting information on discharged patients of discharge patients;
A data classifying unit classifying the discharged patients into predetermined categories based on the discharged patient information;
A statistical analysis unit for analyzing the average hospitalization days and average medical expenses of discharged patients belonging to the category by the classified categories; And
And a guide unit for calculating and guiding the estimated number of days of hospitalization and expected medical expenses of the anticipated patient based on the average hospitalization days and the average medical expenses of the discharged patients in the category corresponding to the anticipated patient, Cost information providing device.
The method according to claim 1,
The discharge patient information includes:
And information on the hospital expiration date, hospitalization date information, discharge date information, and medical expense information of the discharged patient.
The method of claim 2,
Wherein the patient classification basic information includes at least one of a DRG (Diagnosis Related Group) code, a CP (Critical Pathway) code, a medical care code, a CPC code,
Wherein the data classification unit classifies the discharge patients into one of a DRG patient, a CP patient, and a general patient based on the patient classification basic information.
The method of claim 3,
Wherein the data classification unit comprises:
Classifying the discharged patient as a DR patient if the DRG code is included in the patient classification basic information, classifying the discharged patient as a CP patient when the CP code is included in the patient classification basic information, And if the information does not include the DRG code and the CP code, classifies the discharged patient as a general patient.
The method of claim 3,
Wherein the statistical analysis unit comprises:
The average number of days of care and the average medical cost for each DRG code are analyzed for discharge patients classified as the DRG patient for a predetermined period of time, Wherein the average number of days and average medical costs are analyzed according to at least one of a surgical code and a disease code for each of the departments discharged from the hospitalized patients classified as the general patient for the predetermined period, The number of days of funding and the medical expense information providing device.
The method of claim 3,
Wherein the statistical analysis unit comprises:
If the number of discharged patients included in the classified category exceeds the preset reference number, the discharged patients included in the category are sorted in the order of the medical expenses or the number of days in the hospital, and the discharged patients belonging to the upper group and the lower group The average number of days of hospitalization and the average cost of medical care for patients discharged from the hospital except for the hospital.
The method according to claim 1,
The guide portion
Wherein the estimated medical cost of the hospitalized patient is calculated by multiplying an average medical cost of the discharged patients in the category corresponding to the hospitalized patient by a preset addition ratio, and guidance is provided.
The method of claim 2,
The discharge patient information further includes information related to the patient in the discharged patient,
Wherein the number of days of hospitalization and the medical cost information providing apparatus of the patient includes:
Further comprising a hospital management unit for managing the allocation of the sickroom in the hospital based on the sickroom related information and the estimated number of days of hospitalization of the patient scheduled to be hospitalized.
One or more processors, and
A method performed in a computing device having a memory storing one or more programs executed by the one or more processors,
Collecting discharge patient information of discharged patients;
Classifying the discharged patients into predetermined categories based on the discharged patient information;
Analyzing the average number of days of hospitalization and the average medical cost of discharged patients belonging to the category by the classified category; And
Calculating the estimated number of days of hospitalization and the estimated medical cost of the hospitalized patient on the basis of the average number of days of hospitalization and the average medical cost of the discharged patients in the category corresponding to the patient scheduled to be hospitalized, How to provide cost information.
The method of claim 9,
The discharge patient information includes:
And information on the hospital expiration date and the medical expense information including the patient classification basic information, the hospitalization date information, the discharge date information, and the medical expense information of the discharged patient.
The method of claim 10,
Wherein the patient classification basic information includes at least one of a DRG (Diagnosis Related Group) code, a CP (Critical Pathway) code, a medical care code, a CPC code,
Wherein said classifying comprises:
And classifying the discharge patients into one of a DRG patient, a CP patient, and a general patient based on the patient classification basic information.
The method of claim 11,
Wherein said classifying comprises:
Classifying the discharged patient as a DR patient if the DRG code is included in the patient classification basic information, classifying the discharged patient as a CP patient when the CP code is included in the patient classification basic information, And if the DRG code and the CP code are not included in the information, classifies the discharged patient as a general patient.
The method of claim 11,
Wherein the analyzing comprises:
Analyzing the average number of days of hospitalization and the average medical cost for each DRG code of discharged patients classified as the DRG patient for a predetermined period;
Analyzing the average hospitalization days and the average medical expenses for each of the CP patients for the discharged patients classified as the CP patients during the predetermined period; And
And analyzing the average number of days of care and the average medical cost according to at least one of a surgical code and a disease code for each of the departments discharged from the discharged patients classified as the general patient for the predetermined period, Information delivery method.
The method of claim 11,
Wherein the analyzing comprises:
If the number of discharged patients included in the classified category exceeds the preset reference number, the discharged patients included in the category are sorted in the order of the medical expenses or the number of days in the hospital, and the discharged patients belonging to the upper group and the lower group The average number of days of hospitalization and the average cost of medical care for patients discharged from the hospital except for those who are discharged.
The method of claim 9,
Wherein the step of guiding comprises:
And calculating an estimated medical cost of the hospitalized patient based on an average medical cost of the discharged patients in the category corresponding to the hospitalized patient, multiplied by a preset addition ratio, and guiding the estimated hospital cost to the hospitalized patient.
The method of claim 10,
The discharge patient information further includes information related to the patient in the discharged patient,
After the guiding step,
Further comprising the step of managing hospitalization in the hospital based on the patient-related information and the expected number of days of hospitalization of the patient scheduled to be hospitalized.

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