KR20190135692A - Crm system of hospital using medical emr data - Google Patents

Abstract

Disclosed is a hospital CRM system using medical electronic medical record (EMR) data. According to various embodiments of the present invention for solving the problem, the hospital CRM system comprises: an EMR extraction unit automatically extracting diagnostic data from medical EMR information collected from a hospital; a diagnosis data analysis unit generating predictive medical service information for a hospital customer based on the diagnosis data; and a CRM function management unit providing a customized customer management service for each hospital based on the predictive medical service information.

Description

Hospital CRM system using medical EMR data {CRM SYSTEM OF HOSPITAL USING MEDICAL EMR DATA}

Various embodiments of the present invention relate to a technology for customizing a hospital CRM system using electronic medical record (EMR) information.

Large hospitals use the Hospital Information System (HIS) to manage a variety of information generated in hospitals. The HIS system of such a large hospital is in the scale of billions to billions of units, and it is constructed as a system capable of managing customers by integrating a medical information system, a medical administration system, and a customer management system.

However, small and medium hospitals use only EMR DB, which is an electronic medical record, because the economic situation is worse than that of large hospitals. Therefore, the staff of small and medium hospitals perform a poor process of manually extracting the patient's data from the EMR statistics, and providing the patient's retest or recommending surgery daily according to a randomly calculated period.

On the other hand, medical EMR data does not allow the use of DB as personally identifiable data in accordance with the Korean Medical Law.

Therefore, the patients in these small and medium hospitals are not recommended to be treated in a timely manner and miss the optimal timing, resulting in chronic disease, which leads to distrust of the small and medium hospitals, leading to large hospitals such as general or university hospitals. It causes a phenomenon.

In addition, in the related art, a technology for automatically collecting EMR information and providing a hospital customer care service has not been disclosed. Therefore, the necessity of automatically providing a customer care service based on EMR information in a small and medium hospital is increasing.

Korean Registered Patent Publication No. 10-1250462, 2013.04.08

The present invention has been made to solve the above-mentioned problems of the prior art, collecting medical data using the medical EMR information of the hospital, and based on this to predict the medical service customer care medical services specialized in small and medium hospitals (Customer Relationship The purpose is to build a Management, CRM) system.

Problems to be solved by the present invention are not limited to the above-mentioned problems, and other problems not mentioned will be clearly understood by those skilled in the art from the following description.

Hospital CRM system according to various embodiments of the present invention for solving the above problems is an EMR extraction unit for automatically extracting the medical data from medical electronic medical records (EMR) information collected in the hospital; A medical care data analysis unit configured to generate predictive medical service information for a hospital customer based on the medical care data; And it may include a CRM function management unit that provides a customer-specific customer care services for each hospital based on the predicted medical service information.

In some embodiments, the CRM function management unit may set a recall function for a hospital customer based on the predicted medical service information, or provide an automatic guide service for re-test interval information or surgery necessary information to a customer terminal. .

In some embodiments, the CRM function management unit may enter at least one of a recall status, a recall date, a medical director, medical information, a sickness name, a disease code, a customer information, a diagnosis date, and a recent visit date for a hospital customer. When a request for inquiring of any one of registration, withholding, or completion among the items representing the recall state is received, a setting screen may be provided, and contents of the setting screen may be selectively changed according to the recall state.

In some embodiments, when the CRM function management unit receives a request to change the recall classification to any one of disease prevention, retest, or surgery recommendation through the setting screen, the contents of the setting screen according to the recall classification. Can be changed selectively.

In some embodiments, the CRM function management unit checks the re-examination cycle information for the hospital customer and the hospital visit information of the hospital customer, and if the hospital visit information is not confirmed within the re-examination cycle, to the terminal of the hospital customer You can automatically provide medical guidance notification.

In some embodiments, the EMR extractor automatically logs in to an EMR program using object information of the hospital, and generates a micro code based on a task type to be performed for the EMR program and object information of the hospital. The medical data obtained by executing the micro code may be stored.

In some embodiments, the predicted medical service information may include at least one of re-test interval information or surgery necessary information on the medical care item of the patient, and the medical care data analyzing unit may include a disease name of a predetermined specific medical care data among the medical care data. Extracts code, prescription code and test data, checks and adds each score set in advance according to the disease name code, the prescription code and the test data, and re-test interval information or surgery required for the treatment item according to the added score Information can be generated.

In some embodiments, the medical data analysis unit may further include a score in consideration of the score according to the hospital customer information, wherein the hospital customer information includes medical information including at least hypertension or diabetes; And survey information including at least dietary information or health information.

In some embodiments, the medical care data analyzer may apply hospital weights to the medical information and the survey information.

A storage medium according to an embodiment of the present invention stores a program set to control a hospital customer care service, a computer-readable storage medium, the program, medical care from medical electronic medical records (EMR) information collected at the hospital Automatically extract data, generate predictive medical service information for a hospital customer based on the medical care data, and provide customized customer care services for each hospital based on the predicted medical service information.

According to an embodiment of the present invention, by linking medical EMR data with CRM customer data within legislative medical regulations, it is possible to minimize defectors in small and medium-sized hospitals, and to maximize hospitalization rate, reservation rate, and loyal customers. do.

Effects of the present invention are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the following description.

1 is a block diagram of a hospital CRM system according to an embodiment of the present invention.
2 is a flow chart of a hospital CRM service according to an embodiment of the present invention.
3 is a flowchart of an operation of extracting medical data from EMR information according to an embodiment of the present invention.
4 is a flowchart of an operation of generating predictive medical service information according to an embodiment of the present invention.
5 is a flowchart of an operation of providing a CRM service according to an embodiment of the present invention.
6 to 9 are exemplary views of screens provided by a CRM system according to various embodiments of the present disclosure.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. In this specification, the singular also includes the plural unless specifically stated otherwise in the phrase. As used herein, "comprises" and / or "comprising" does not exclude the presence or addition of one or more other components in addition to the mentioned components. Like reference numerals refer to like elements throughout, and "and / or" includes each and all combinations of one or more of the mentioned components. Although "first", "second", etc. are used to describe various components, these components are of course not limited by these terms. These terms are only used to distinguish one component from another. Therefore, of course, the first component mentioned below may be the second component within the technical spirit of the present invention.

1 is a block diagram of a hospital CRM system 10 according to an embodiment of the present invention.

The hospital CRM system 10 may include an EMR extraction unit 11, a medical data analysis unit 13, and a CRM function management unit 15. The hospital CRM system 10 extracts and analyzes the medical data from the electronic medical record information of the hospital customer, and performs a function of providing a customer care medical service by predicting whether a retest cycle or surgery is required.

According to an embodiment, the hospital CRM system 10 may include at least one of a hospital terminal or a management server (not shown), and may communicate with a client terminal 300 and an EMR server of a hospital through a network.

Hospital terminals are electronic devices used by hospital administrators (e.g. employees) to use or provide hospital customer care medical services to customers. It may include a handheld-based wireless communication device, in addition to the communication device that can be connected to the management server 200 via a network, such as IPTV including desktop PC, tablet PC, laptop PC, set-top box It may also include.

The management server is connected to the EMR server, the hospital CRM system 10, and the customer terminal 300 through a network to extract medical data from the EMR information, and to analyze / predict the extracted medical data to generate predictive medical service information. Do this.

The customer terminal 300 is an electronic device used by a customer who uses a hospital. The customer terminal 300 may also be implemented as a desktop PC as well as a handheld device as described above. The hospital customer may be provided with a customer care medical service such as a re-examination cycle, a surgery recommendation, etc. from the hospital CRM system 10 through the customer terminal 300.

The EMR extraction unit 11 downloads electronic medical record (EMR) information through the hospital CRM system 10 and the EMR server, and performs a function of extracting medical data. According to an embodiment, the EMR extraction unit 11 may automatically log in to the EMR program using object information of a hospital. In addition, the EMR extraction unit 11 may generate a micro code according to the type of work to be performed for the EMR program and the object information of the hospital, and the medical data obtained by executing the micro code is stored in a local DB (eg, CRM DB). ) Can be stored.

More specifically, the EMR extraction unit 11 is used in the hospital using the object information, such as hospital account information (for example, hospital code, hospital name, login information such as ID, password, etc. for the EMR program) By performing an automatic login to the EMR program, control authority for the EMR program can be obtained.

Then, the EMR extraction unit 11 may generate a micro code based on the type of work to be performed on the EMR program and the object information of the hospital. To this end, the EMR extractor 11 may search for a code previously stored in the hospital CRM system 10 by using a work type identifier assigned to each work type and generate a micro code using the searched code. Here, the type of job may be at least one of an operation of inputting specific information, selecting a specific button, and obtaining specific information, and the microcode may be a script modularized into a unit of work to be performed.

In various embodiments of the job type, the job type includes a routine for executing a statistical menu function of the EMR program, a routine for selectively searching for medical data by setting a search condition of the EMR program, and selectively converting the retrieved medical data into preserved data. It may include, but is not limited to, routines that can be converted (eg, Excel files) or downloaded.

Meanwhile, the EMR extractor 11 may perform login authentication of a user on the hospital CRM system 10 to perform the above operation, and select a job type and a work object corresponding to the authenticated user account. Information can be generated.

Such EMR extraction unit 11 is not mentioned in this document as including the configuration and function of the automatic login authentication unit, the task coordinator unit and the result return unit disclosed in Korea Patent Registration No. 10-16842778 (published Dec. 08, 2016). Detailed descriptions are omitted.

The medical care data analyzing unit 13 may generate predictive medical service information for the hospital customer based on the medical care data collected through the EMR extraction unit 11. According to an embodiment, the predicted medical service information may include re-test cycle information or surgery necessary information about a specific medical care item.

More specifically, the treatment data analysis unit 13 may extract the disease name code, the prescription code, and the inspection data of the predetermined specific treatment data among the treatment data, and check and add the scores preset for each of the treatment data. In addition, the treatment data analysis unit 13 may generate a retest cycle or surgery necessary information for the treatment items according to the sum score.

In addition, the medical care data analysis unit 13 may check the hospital customer information and may add the scores by further considering the score according to the hospital customer information. In this case, the hospital customer information may include medical information including at least hypertension or diabetes and survey information including at least dietary information or health information. Such hospital customer information may be collected through a questionnaire or the like in a hospital or collected from an external server.

According to an embodiment, the medical care data analyzing unit 13 may apply a weight for each hospital according to the medical information and the survey information. For example, in generating re-test cycle information or surgery required information, the treatment data analysis unit 13 may apply different weights for each hospital to the same medical information and survey information by reflecting the importance in each hospital differently.

The CRM function manager 15 may provide a customized customer management service, that is, a CRM service for each hospital, based on the predicted medical service generated by the medical care data analyzer 13. According to one embodiment, the customized customer care service for each hospital provides, for example, a customer care list for each test item, a re-call list for a hospital customer, an automatic retest cycle information, or an operation need information. The guide service may be provided to the customer terminal 300 of the hospital.

According to one embodiment, the CRM function management unit 15 checks the re-examination cycle information for the hospital customer and the hospital visit information of the hospital customer, if the hospital visit information is not confirmed within the re-examination cycle terminal 300 of the hospital customer ) Can provide medical guidance notification.

Although not shown in FIG. 1, the hospital CRM system 10 may include a communication module, a controller, and a storage.

The communication module performs a function of connecting the EMR server or the customer terminal 300 and the hospital CRM system 10 through a communication network. According to an embodiment, the communication network may be configured without regard to communication modes such as wired and wireless, and may be, for example, a local area network (LAN), a metropolitan area network (MAN), a wide area network. It can be implemented in various communication networks such as Wide Area Network (WAN).

The controller may perform a data processing function to control the signal flow between the overall operation such as power supply control of the hospital CRM system 10 and the internal configuration of the hospital CRM system 10 and process data. Such a controller may include at least one processor.

The storage unit may store data received or generated from the controller, the hospital CRM system 10, or other components of the customer terminal 300. Such a storage unit may include, for example, a memory, a cash, a buffer, and the like, and may be composed of software, firmware, hardware, or a combination of two or more thereof.

According to an embodiment, the storage unit may include an information DB and a CRM DB.

The information DB is updated periodically or at any time, including object information of the hospital for accessing the EMR program, user authentication information for the hospital CRM system 10, user account information, and routine information for configuring microcode. Or can be changed.

The CRM DB includes the raw data extracted from the EMR program or medical data about at least a part of the raw data, medical information of a hospital customer, survey information of a hospital customer, information generated or collected to provide a CRM service, and such information. It may include visualized content data.

In FIG. 1, subjects performing respective roles in the hospital CRM system 10 are represented in the form of ~ part or ~ module, but each part may be a sub-program module or an operation in the hospital CRM system 10. The controllers may be functionally classified. Such program modules include, but are not limited to, routines, subroutines, programs, objects, components, data structures, etc. that perform respective operations or execute particular abstract data types. In addition, the EMR extraction unit 11, the medical care data analysis unit 13 and the CRM function management unit 15 may be implemented in a configuration included in the control unit.

2 to 9 below will be described in detail the embodiments provided by the hospital CRM system 10 through the configuration as shown in FIG.

2 is a flow chart of a hospital CRM service according to an embodiment of the present invention. For detailed description of each step of FIG. 2, the description will be made with reference to FIGS. 3 to 9. 3 is a flowchart of an operation of extracting medical data from EMR information, and FIG. 4 is a flowchart of an operation of generating predicted medical service information according to medical service prediction according to an embodiment of the present invention. 5 is a flowchart illustrating an operation of providing a CRM service, and FIGS. 6 to 9 are exemplary diagrams of contents for calculating predicted medical service information. At least some of the steps of FIGS. 2 to 5 may be interchanged or omitted.

In order to provide the predicted medical service according to the embodiment of the present invention, the hospital CRM system 10 may extract medical data from the EMR information (S210). To this end, the hospital CRM system 10 may be connected to the EMR server through the hospital terminal.

Referring to step S210 in detail through FIG. 3, the hospital CRM system 10 logs in to an EMR program that can access an EMR server using object information of a hospital (S310), and then performs operations on the EMR program. The microcode may be generated according to the type and the object information of the hospital (S330).

To this end, the hospital CRM system 10 may generate a micro code or the like for pressing a specific button on the logged-in EMR program screen. In this case, when a plurality of microcodes are generated to extract medical data, the hospital CRM system 10 determines the Inet microcode, which is the microcode to be executed first, and uses the control address register (not shown). You can determine the routine of your code.

For example, the hospital CRM system 10 executes a statistical screen of the patient's medical data in the EMR program, inputs a condition search to search only specific medical data, and repeatedly outputs the data retrieved by the input. You can generate codes. In addition, the hospital CRM system 10 may determine routines to be executed in order with Innet microcode for these microcodes.

In addition, the hospital CRM system 10 may convert the work performance result obtained by executing the micro code into preservation data or download the file in a file format (eg, an Excel file) supported by the EMR program. This download function can also be implemented as microcode. The hospital CRM system 10 may store the collected medical data in a local DB (eg, the CRM DB 235) (S350).

Referring back to FIG. 2, the hospital CRM system 10 may analyze the collected medical data as described above, and generate the predicted medical service information by predicting the medical service based on the analyzed contents (S230). .

Referring to step S230 in detail through Figure 4, the hospital CRM system 10 may extract a specific treatment code from the treatment data (S410). According to an embodiment, the medical care code may include a disease code, a surgical code, a prescription code, and test data. The inspection data can be interpreted as a concept including at least one of inspection code or inspection equipment.

In addition, the hospital CRM system 10 may check the hospital customer information collected at the hospital (S430). According to one embodiment, the hospital customer information may include medical information and survey information. The medical information may include at least high blood pressure information or diabetes information, but the above high blood pressure information, diabetes information, etc. are exemplary and various embodiments of the present invention are not limited thereto. In addition, the survey information may include at least dietary information or health information, but is not limited thereto. The health information may include, for example, smoking amount, drinking amount, obesity information, and the like.

Next, the hospital CRM system 10 may calculate a score according to a specific care code and hospital customer information and add the score (S450), and generate retest cycle information or surgery required information according to the summed score ( S470).

For example, the hospital CRM system 10 may check the disease name code according to the detailed disease name of glaucoma. In this case, the hospital CRM system 10 may check the score set in the corresponding hospital name code for each hospital. This score may be set to a low score for low risk and a high score for relatively high risk.

In addition, the hospital CRM system 10 can check the prescription code and the score according to the treatment method associated with glaucoma. Similarly, the hospital CRM system 10 can confirm the information and score for the test data for the glaucoma. In this case, the test data may include not only the test equipment but also test result values derived according to the test equipment, and the hospital CRM system 10 may calculate the score by comparing the test result value with a reference value.

The treatment code information as described above may be extracted from the treatment data. In contrast, the hospital CRM system 10 may check the medical information such as hypertension and diabetes as the hospital customer information and the scores assigned to the hospitals accordingly. Although not shown in the present document, the hospital customer information may include survey information such as health information such as drinking amount, smoking amount, obesity, or dietary information, in addition to the above medical information.

Then, the hospital CRM system 10 adds the scores for the medical data and hospital customer information according to the disease name code, the prescription code, and the test data, and based on this, the re-test cycle information or the surgical necessity information is stored by a table stored in advance. Can be generated. For example, the hospital CRM system 10 may set the retest interval to 24 weeks when the combined score of the medical data and the hospital customer information is 6 or more and 9 or less, and set the retest interval to 12 weeks when the combined score is 10 or more. Can be. In addition, separately from the hospital CRM system 10 may generate surgery required information that surgery for glaucoma is required when the total score is 6 or more.

According to an embodiment, the hospital CRM system 10 may generate different predicted medical service information even if the same data is applied to hospital customer information, that is, medical information and survey information by applying a weight for each hospital. As a result, by providing customized customer care services according to hospital-specific policies, hospitals can more flexibly provide customer care services.

On the other hand, the re-examination cycle information or surgery required information generated as described above is stored in the CRM DB as predictive medical service information.

Referring back to FIG. 2, the hospital CRM system 10 may provide a CRM service based on the predicted medical service information generated as described above (S250). According to one embodiment, the hospital CRM system 10, as shown in Figure 5, the step of providing a customer management list for each test item for the hospital terminal (S510); Providing a recall list for the hospital customer to the hospital terminal (S530); And providing an automatic guide service for re-testing cycle information or surgery necessary information to the customer terminal 300 (S550). Each of the steps of FIG. 5 is not limited to each other, and may be separately performed at an arbitrary time point according to a user's selection.

For example, the hospital CRM system 10 may provide a customer care list as shown in FIG. 6. The list may include menus such as recall status, counseling date, recall date, completion date, counselor, counseling result, customer name, counseling estimate, counseling treatment.

In this case, when a user input for selecting a specific area 601 is received, the hospital CRM system 10 may set a reservation or response function by outputting a reservation screen reservation storage screen or a reception management screen as shown in FIG. 7.

In addition, the hospital CRM system 10 may enter at least one of a recall state, a recall date, a doctor's office, medical information, a hospital name, a hospital name code, customer information, a diagnosis date, and a last visit date for a hospital customer as shown in FIG. 8. It can provide a setting screen. According to an embodiment, the hospital CRM system 10 selectively changes the contents of the setting screen according to the recall state when an inquiry request for any one of registration, withholding or completion among items indicating a recall state is received. Can be output.

Similarly, when the hospital CRM system 10 receives a request to change the recall classification to any one of disease prevention, retest, or surgery recommendation through the setting screen, the contents of the setting screen according to the recall classification are received. Can be changed selectively.

In addition, the hospital CRM system 10 checks the re-examination cycle information and the hospital visit information of the hospital customer for the hospital customer, if the hospital visit information is not confirmed within the re-examination cycle, the medical guidance to the terminal of the hospital customer Notifications can be provided automatically. Such care guide notification may be provided through various means such as, for example, a wired message, a message, an instant message application (eg, KakaoTalk ™). Through the interface environment of FIGS. 6 to 9, the hospital may more intuitively check the management of patients who may be overlooked and may receive a checkup or surgery at an optimal timing.

As described above, by the hospital customer management system 10 disclosed in FIGS. 1 to 9 and the hospital customer management method operated by the same, the medical EMR data is interleaved with the CRM customer data within legal regulations, thereby leaving the small and medium hospital. Patients can be minimized and hospitals can be provided with an optimal interface environment to manage them.

On the other hand, the hospital customer management method according to an embodiment of the present invention can be implemented as a computer-readable code on a computer-readable recording medium or storage medium. The computer-readable recording medium includes all kinds of recording devices in which data that can be read by a computer system is stored. For example, the computer-readable recording medium may be a ROM, a RAM, a CD-ROM, a magnetic tape, a hard disk, a floppy disk, a removable storage device, a nonvolatile memory (Flash memory). Optical data storage.

The computer readable recording medium can also be distributed over computer systems connected over a computer network so that the computer readable code is stored and executed in a distributed fashion.

Although the above-described method for managing a customer in a hospital according to various embodiments of the present invention has been described, the present invention is not limited thereto, and various modifications are made within the scope of the claims and the detailed description of the invention and the accompanying drawings. It is possible and this also belongs to the present invention.

10: Hospital CRM System
100: hospital terminal
200: management server
300: customer terminal

Claims (10)

As a hospital CRM system,
An EMR extraction unit for automatically extracting medical data from medical electronic medical record (EMR) information collected at a hospital;
A medical care data analysis unit configured to generate predictive medical service information for a hospital customer based on the medical care data; And
Hospital CRM system comprising a CRM function management unit for providing a customer-specific customer care services for each hospital based on the predicted medical service information. The method of claim 1,
The CRM function management unit,
A hospital CRM system for setting a recall function for a hospital customer based on the predicted medical service information or providing an automatic guide service for re-test cycle information or surgery necessary information for a customer terminal. The method of claim 2,
The CRM function management unit,
It provides a setting screen for entering at least one of the recall status, recall date, hospital director, medical information, hospital name, illness code, customer information, diagnosis date and last visit date for the hospital customer,
And, if an inquiry request for any one of registration, withholding, or completion among the items representing the recall state is received, selectively changes the contents of the setting screen according to the recall state. The method of claim 2,
The CRM function management unit,
When the request to change the recall classification to any one of the disease prevention, re-test or recommending surgery through the setting screen, selectively changes the contents of the setting screen according to the recall classification, hospital CRM system. The method of claim 2,
The CRM function management unit,
The hospital CRM that checks the re-examination cycle information for the hospital customer and the hospital visit information of the hospital customer, and if the hospital visit information is not confirmed within the re-examination cycle, the hospital CRM automatically provides a medical guidance notification to the terminal of the hospital customer system. The method of claim 1,
The EMR extraction unit,
Automatically log in to the EMR program using the object information of the hospital, generate a micro code based on the task type to be performed for the EMR program and the object information of the hospital, and execute the micro code to obtain medical data To store, hospital CRM system. The method of claim 1,
The predicted medical service information includes at least one of re-test interval information or surgery necessary information on the medical care item of the patient,
The medical care data analysis unit,
Extracting the disease name code, prescription code and inspection data of the predetermined specific medical data among the medical data, and confirming each of the predetermined scores according to the disease name code, the prescription code and the test data, and adds the scores. Hospital CRM system for generating re-test cycle information or surgical necessity information for the treatment according to. The method of claim 7, wherein
The medical care data analysis unit may add up scores by further considering scores according to the hospital customer information.
The hospital customer information,
Medical information including at least hypertension or diabetes; And
A hospital CRM system, comprising survey information including at least dietary information or health information. The method of claim 8,
The medical care data analysis unit, hospital weight management method to apply the weight for each hospital to the medical information and the survey information. In a computer-readable storage medium for storing a program set to control a hospital customer care service, the program,
Automatically extracts medical data from medical electronic medical record (EMR) information collected at a hospital, generates predictive medical service information for a hospital customer based on the medical data, and provides a hospital to a client based on the predicted medical service information. Storage media that provides customized customer care services.

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