KR20140110216A - System for analysis of the patterns of care and method therefor - Google Patents
System for analysis of the patterns of care and method therefor Download PDFInfo
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- KR20140110216A KR20140110216A KR1020130023586A KR20130023586A KR20140110216A KR 20140110216 A KR20140110216 A KR 20140110216A KR 1020130023586 A KR1020130023586 A KR 1020130023586A KR 20130023586 A KR20130023586 A KR 20130023586A KR 20140110216 A KR20140110216 A KR 20140110216A
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- G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
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Abstract
The present invention relates to a medical care pattern analysis system, and more particularly, to a medical care pattern analysis system for analyzing a time-series prescription pattern of outpatient-hospitalization in a hospital information system.
The present invention relates to a medical care pattern analysis system, comprising: an extraction unit (100) for extracting source data from a hospital information database; A constituent unit 200 for constructing a dimension for analyzing the time series information and constituting summary information of the summary information and a fact of the prescribed history information constructed so that the data can be viewed as a dimension defining time; And an analysis unit 300 for analyzing the pattern flow of the prescription in a time series by listing the time series information, the prescription information by the medical care item, and the summary information of the aggregation data.
Description
The present invention relates to a medical care pattern analysis system, and more particularly, to a medical care pattern analysis system for analyzing a time-series prescription pattern of outpatient-hospitalization in a hospital information system.
In the past, numerous applications and disclosures have been made in addition to Korean Patent No. 0538577, "Method for Standardization of Medical Information Information ".
According to the related art, in the computerized standardization method of medical information applied to the medical information providing system, the term used for various names by doctors or nurses, the term of the main symptom of the patient, diagnosis name, operation name, A plurality of terms belonging to at least one of the terms used by physicians to record the patient's condition, the prescription term used by the doctors, and the drug terms are selected as standard terms A first step of database formation; At least one of the doctor terminal 20, the nursing-using terminal 30, the laboratory office terminal 40 and the general hospital terminal 50 connected to the network through the standard terms or the description of the standard terms A second step of providing through a web screen executed in one terminal; A third step of mapping the selected standard terms with the standard code when there is an international standard code among the standard terms selected from the above; When an information request related to the international standard code is transmitted from a system using the international standard code, the service providing system extracts a standard term matched with the international standard code, and then collects information related to the extracted standard term To the system; And a signal requesting to extract information relating to any one of the standard terms from the system using the international standard code is input from the terminal of at least one of the terminals to the service providing system, A fifth step of extracting an international standard code matched with the term, transmitting a request for information about the extracted standard code to the system, and transmitting the information to the terminal when the information about the request is transmitted from the system The method of providing the standard terms through the web screen in the second step may include providing the standard terms as a selection or check item or a selection item applicable to the statement recording , Wherein the first step comprises: The terms used for various names of nurses, such as patient's main symptom, diagnosis name, operation name, terminology used by nurses to record the patient's condition, terminology used by physicians to record the patient's condition, Step 1-1) in which the service providing system 10 receives a plurality of terms belonging to at least one item of the prescription terms and drug terms used by the doctors; And a second step of the service providing system selecting the terms as standard terms and storing them in the patient information management unit (13) of the service providing system, wherein the second step comprises: The request is transmitted to the service providing system through a web screen executed on at least one of the doctor's terminal 20, the nursing-using terminal 30, the laboratory staff terminal 40 and the general employee terminal 50 The service providing system provides the standard terms as a selection item or a check item through the web screen, and if standard terms selected or checked through the selection item or the check item are transmitted from the terminal, The system matches the standard terms with the medical information of the patient being managed on the web screen and stores the same in the patient information management unit A second step of transmitting the standard term matched with the patient information to a web screen of the terminal when an information request for the patient is transmitted from any one of the terminals; And when a request to input the standard terms in the form of a statement is transmitted to the service providing system through a web screen executed in any one of the terminals, When the standard terms selected or checked through the selection item or the check item are transmitted from the terminal, the service providing system may manage the standard terms on the web screen And storing the standard terms stored in the patient information management unit when the request for a statement of the patient is transmitted from any one of the terminals, And transmits them to the web screen of the terminal A step 2-2.
In order to analyze the pattern of prescription in the medical environment, data is extracted from the operating system, data warehouse is constructed and OLAP (OnLine Analytical Processing) tool is used, or source data is acquired through SQL (Structured Query Language) Must manually analyze a large amount of data into an excel sheet.
In addition, outpatient data and hospital data of the hospital information system have different structures, and there is a problem that the analysis is different or it is analyzed by inference.
An object of the present invention is to provide a system and method for configuring a dimension that defines time for analyzing prescription information, diagnosis information, operation information, and logistics information of a hospital information system in a time series, It provides a medical pattern analysis system that can integrate analysis patterns such as outpatient, hospitalization, surgery, and outpatient outpatient according to the purpose of the analysts from the fact of House and Mart.
In addition, we design and construct a logical structure that can analyze and analyze the non-prepatent materials such as consumables and MIS (Management Information System) set orders that are not managed by OCS as well as prescriptions from OCS (Order Communication System). The present invention provides a medical care pattern analysis system capable of analyzing prescription and non-prescription patterns together.
In addition, a top rank analysis (Top N) by the viewpoint of the diagnosis and the operation from the whole hospital occurrence data is made possible, and the graphical user who can generalize the pattern of the appropriate medical care within the organization through comparative analysis according to each department and doctor It also provides a clinical pattern analysis system that enables the analyst to easily define the pattern by implementing the interface.
In addition, it provides a medical treatment pattern analysis system capable of analyzing multidimensional information by linking cost information with cost information, cost information and cost.
Finally, the data logic structure of the present invention is designed to be able to compare and analyze the prescription patterns between the clinic departments and physicians using EDI (Electronic Data Interchange) codes in connection with data of not only a single hospital but also other hospitals, And a medical pattern analysis system that provides scalability and generality that can form the basis for constructing a medical care pattern.
The present invention relates to a medical care pattern analysis system, comprising: an extraction unit (100) for extracting source data from a hospital information database; A
Preferably, the source data includes prescription information, diagnosis information, surgery information, and logistics information.
Preferably, the time-series information further includes information on an outpatient visit, admission date, operation date, post-operative stay date, discharge date, and outpatient visit date information after discharge.
Preferably, the analyzing
Preferably, the
Preferably, the
In the meantime, the method of analyzing a medical care pattern includes: (a) extracting source data from a hospital information database by the
Preferably, the step (c) further includes the steps of: (c-1) configuring the control unit with the time-series information on the abscissa axis, And (c-2) analyzing the pattern flow of the prescription on the basis of the time series information listed by the control unit and the prescription information of each treatment item from the viewpoint of the prescription rate / trial rate / flow ratio / cost.
Preferably, the step (c) includes the steps of: (c-3) analyzing the non-prepurification pattern by linking the non-prepurative information including the surgical set order and the consumable information and the prescription information of the hospital information database, ; ≪ / RTI >
Preferably, the step (c) further comprises: (c-4) displaying the upper rank of each diagnosis and surgery point of view from the hospital total occurrence data of the hospital information database in the hospital information database, And deriving a medical care pattern from the inside.
As described above, according to the medical care pattern analysis system of the present invention, the correlation between the number of visits and the number of hospital visits, the number of hospital days, the number of hospital days after surgery, It is possible to derive a medical care pattern that enables optimal patient care throughout.
In addition, we design and construct a logical structure that can analyze and analyze the non-prepatent materials such as consumables and MIS (Management Information System) set orders that are not managed by OCS as well as prescriptions from OCS (Order Communication System). So that the prescription and non-prescription patterns can be analyzed together.
In addition, a top rank analysis (Top N) by the viewpoint of the diagnosis and the operation from the whole hospital occurrence data is made possible, and the graphical user who can generalize the pattern of the appropriate medical care within the organization through comparative analysis according to each department and doctor Implementing the interface allows the analyst to easily define the pattern.
In addition, it is possible to analyze multidimensional data by making cost information, cost, and profit possible by linking cost information.
Finally, the data logic structure of the present invention is designed to be able to compare and analyze the prescription patterns between the clinic departments and physicians using EDI (Electronic Data Interchange) codes in connection with data of not only a single hospital but also other hospitals, It has the scalability and versatility to create a foundation for building a medical care pattern.
1 is a configuration diagram of a medical care pattern analysis system according to an embodiment of the present invention.
2 is a schematic flowchart of a method of analyzing a medical care pattern according to an embodiment of the present invention.
3 is a detailed flowchart illustrating a pattern analysis step according to an embodiment of the present invention.
Hereinafter, the present invention will be described in detail with reference to exemplary drawings attached hereto.
1 is an overall configuration diagram of a medical care pattern analysis system according to the present invention.
1, the medical care pattern analysis system according to the present invention is a system in which an
The extracting
In addition, the constructing
Here, the source data may include prescription information, diagnosis information, surgery information, and logistics information.
The time series information may include information on the outpatient visit, the date of hospitalization, the date of operation, the date of surgery, the date of discharge, and the date of visit after discharge.
The
The
The
Also, the
In addition, the non-prescription
Then, the
The
A method of analyzing a medical care pattern using a medical care pattern analyzing system (hereinafter referred to as a medical care pattern analyzing method) will be described with reference to FIG.
2 is a schematic flowchart of a method of analyzing a medical care pattern according to an embodiment of the present invention.
As shown in FIG. 2, the
Next, the control unit classifies the source data into dimensions for analyzing the time series information, and arranges the facts of the prescribed history information and the summary information of the aggregate data, (S4).
The controller analyzes the pattern flow of the prescription in a time series by listing the time series information, the prescription information by the medical care item, and the summary information of the aggregation data (S6).
Here, the pattern analysis step of step S6 will be described in detail with reference to FIG. 3 is a flowchart illustrating a pattern analysis step according to an embodiment of the present invention.
As shown in FIG. 3, the control unit constructs the time-series information with a horizontal axis, and visualizes the prescription information by treating it as vertical axes (S12).
Next, the control unit analyzes the pattern flow of the prescription based on the listed time series information and the prescription information by each treatment item in terms of prescription rate / trial rate / flow ratio / cost (S14).
Here, the controller analyzes the non-prepurification information including the surgical set order and the consumable information and the prescription information of the hospital information database (S16).
Then, the control unit displays an upper rank according to the diagnosis and operation viewpoints from the entire hospital occurrence data of the hospital information database, and derives a treatment pattern within the organization through comparison analysis according to each department and doctor (S18).
According to the present invention, a dimension defining a time for analyzing prescription information, diagnosis information, surgery information, and logistics information of a hospital information system is constructed in a time series, The analyst can analyze the outpatient, hospitalization, operation, post-discharge outpatient treatment patterns, etc. according to the purpose desired by the analyst. This leads to an analysis of the correlation between the number of visits and visits, the number of hospital days, the number of hospital days after surgery, do.
In addition, we design and construct a logical structure that can analyze and analyze the non-prepatent materials such as consumables and MIS (Management Information System) set orders that are not managed by OCS as well as prescriptions from OCS (Order Communication System). So that the prescription and non-prescription patterns can be analyzed together.
In addition, a top rank analysis (Top N) by the viewpoint of the diagnosis and the operation from the whole hospital occurrence data is made possible, and the graphical user who can generalize the pattern of the appropriate medical care within the organization through comparative analysis according to each department and doctor Implementing the interface allows the analyst to easily define the pattern.
In addition, multidimensional analysis can be performed by linking cost information with cost, information on cost of medical care, cost, and profit.
Finally, the data logic structure of the present invention is designed to be able to compare and analyze the prescription patterns between the clinic departments and doctors using EDI (Electronic Data Interchange) codes in connection with data of not only a single hospital but also other hospitals, It has the scalability and versatility to create a foundation for building a medical care pattern.
100: extracting unit 200:
300; Analysis Unit 310: Interface Module
320: filter analysis module 330: non-processing pattern analysis module
340: comparison analysis module 400:
Claims (10)
An extracting unit (100) for extracting source data from a hospital information database;
A constituent unit 200 for constructing a dimension for analyzing the time series information and constructing summary information of the summary information and a fact of the prescribed history information constructed so that the data can be viewed as a dimension defining time;
An analysis unit 300 for analyzing the pattern flow of the prescription in a time series by arranging the time series information constituted by the constituent unit, the prescription information by each medical treatment item, and the summary information of the aggregation data; And
And a control unit (400) for controlling the extraction unit, the configuration unit, and the analysis unit.
Wherein the source data includes prescription information, diagnosis information, surgery information, and logistics information.
Wherein the time-series information includes information on an outpatient visit, an admission date, an operation date, a post-operative hospital stay date, a discharge date, and outpatient visit date information after discharge.
The analyzer (300)
An interface module (310) for constructing the time series information on a horizontal axis, and visualizing the prescription details information for each treatment item by arranging the information on a vertical axis; And
And a filter analysis module (320) for analyzing the pattern flow of the prescription based on the time series information listed by the interface module and the prescription information by the medical treatment item from the viewpoint of prescription rate / trial ratio / flow ratio / cost Clinical pattern analysis system.
The analyzer (300)
And a non-prescription pattern analysis module (330) for analyzing the non-prescription pattern by linking the non-prepatent information including the surgery set order and the consumable information and the prescription details information of the hospital information database, .
The analyzer (300)
A comparison analysis module (340) for displaying an upper rank according to diagnosis and operation viewpoints from the entire hospital occurrence data of the hospital information database through the extracting unit, and deriving a medical care pattern within the organization through comparative analysis according to each department and doctor; Further comprising: an analyzing unit for analyzing the medical care pattern.
(a) extracting source data from the hospital information database by the control unit 400;
(b) constructing a dimension for analyzing the time series information of the source data by the controller, and constructing summary information of the aggregation data and the fact of the prescribed history information constructed so that the data can be retrieved by the dimension defining the time ; And
(c) analyzing the pattern flow of the prescription in a time series by the control unit arranging summarized information of the time series information, the prescription information of each medical care item, and the aggregation data.
The step (c)
(c-1) the control unit constructing the time-series information on a horizontal axis, and visualizing the prescription information by treating items by arranging them on a vertical axis; And
(c-2) analyzing the pattern flow of the prescription on the basis of the time-series information listed by the control unit and the prescription information by the treatment item from the viewpoint of prescription rate / trial rate / flow ratio / cost Analysis method.
The step (c)
(c-3) analyzing the non-prepurification pattern by linking the non-prepurative information including the surgical set order and the consumable information and the prescription details information of the hospital information database, Analysis method.
The step (c)
(c-4) the control unit displays an upper rank according to the diagnosis and operation viewpoints from the entire hospital occurrence data of the hospital information database, and derives a treatment pattern within the organization through comparison analysis according to each department and doctor; And analyzing the analysis results.
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107851291A (en) * | 2015-07-28 | 2018-03-27 | 三菱电机株式会社 | Time series data processing unit |
KR20220139115A (en) * | 2021-04-07 | 2022-10-14 | 주식회사 에비드넷 | A method of constructing an interest pattern candidate database using medical data between medical institutions, and its devicee |
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2013
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107851291A (en) * | 2015-07-28 | 2018-03-27 | 三菱电机株式会社 | Time series data processing unit |
CN107851291B (en) * | 2015-07-28 | 2019-04-19 | 三菱电机株式会社 | Time series data processing unit |
KR20220139115A (en) * | 2021-04-07 | 2022-10-14 | 주식회사 에비드넷 | A method of constructing an interest pattern candidate database using medical data between medical institutions, and its devicee |
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