JP2008129936A - Hospital workflow analysis system and hospital workflow analysis method - Google Patents

Abstract

The present invention provides a workflow analysis system capable of grasping problems in a hospital system and grasping the effects of introducing improvement measures.
SOLUTION: From communication data communicated between a plurality of medical information devices connected to a network, data indicating delivery of information between the medical information devices and data indicating processing time at each medical information device are collected. In addition to creating an information collection server that generates workflow data for creating workflow diagrams, a database that stores workflow data, and calculating the average value of processing time based on the statistics of workflow data, creating a workflow diagram with the average value, A workflow processing unit that creates an individual workflow diagram for each patient based on the workflow data, and a display unit that displays the workflow diagram created by the workflow processing unit.
[Selection] Figure 7

Description

  The present invention relates to a system for analyzing and visualizing a workflow in a hospital, and more particularly to a workflow analysis system and an analysis method for grasping the current state of a workflow and evaluating improvement results.

  In recent years, in hospitals, a plurality of devices are connected via a network, and it is possible to exchange patient medical image information and transmit various data while communicating with each other over the network. Examples of devices connected to the network include medical image diagnostic apparatuses such as an X-ray diagnostic apparatus, an X-ray CT apparatus, an MRI apparatus (nuclear magnetic resonance image diagnostic apparatus), an ultrasonic diagnostic apparatus, and a nuclear medicine diagnostic apparatus. In general, such a medical image diagnostic apparatus is called a modality, collects information inside a subject, generates a medical image based on the collected information, and enables display.

  In addition, medical image management systems such as PACS (Picture Archiving and Communication System) for managing medical images collected by medical image diagnostic apparatuses, HIS (Hospital Information System) for managing information in hospitals, and radiology departments A management system such as RIS (Radiology Information System) for managing information is connected to the network. The PACS includes an image server that stores the medical images.

  Furthermore, an interpretation terminal for inputting findings and the like for medical images created by the medical image diagnostic apparatus, and information terminal devices such as workstations and PCs (Personal Computers) are connected to the network. As a standard rule for communicating medical images and the like via this network, for example, there is a medical image communication rule DICOM (Digital Imaging and Communication in Medicine).

  By the way, as described above, a plurality of devices are operated in the hospital while communicating with each other on the network, and in order to grasp the progress (workflow) of various processes in the hospital, It is necessary to capture the entire process and its flow. In particular, as information communication on the network increases, system failures occur due to computer performance, network load, information processing procedures, etc., and information processing delays in hospitals tend to increase It is in.

  In order to grasp this failure, conventionally, a “communication log” that is a record of communication between the device and other devices and an “audit log” that records when and who did what are created. By referring to the log data, it is possible to grasp delays in information transfer between devices and operational problems.

  Patent Document 1 describes a hospital audit log management support system.

  However, only information relating to communication directly performed by the device is recorded in the communication log of each device, and the format of the log varies from device to device. The audit log only records the operation performed on the device, the type of processing, and the like. In other words, it is difficult to capture the entire process over a wide range by simply analyzing the information contained in these logs.

  Therefore, it is not easy to grasp the current problem of the workflow, and even if the problem is grasped and improvement measures are introduced, there is no specific method for accurately grasping the improvement effect. For example, in a medical institution with a large number of examinations, even if the patient's waiting time may be longer than the average and longer, it is not easy to grasp the cause, and it is also difficult to grasp the improvement introduction effect It was not easier.

Patent Document 2 describes a reception management system that can display the waiting time of a patient, but in this example, only the waiting time of the patient is confirmed, and the cause of the medical delay is grasped. It is difficult to do.
JP 2006-99479 A JP-A-8-235259

  In a conventional hospital information system, in order to grasp the workflow, it is necessary to accurately grasp the entire process and flow across multiple devices connected to the network. There was no hand. In addition, even if the patient's waiting time is far from the average, it is not easy to grasp the cause, and even if improvement measures are introduced, it is not easy to grasp the improvement effect. There wasn't.

  The present invention has been made in view of the above circumstances, and captures the flow of the entire process across multiple devices from the communication status between multiple devices operating in a hospital, and analyzes the workflow based on that. To provide an in-hospital workflow analysis system and analysis method that can be visualized and grasp problems in the system configuration and system operation in the hospital, and can easily grasp the improvement effect when the improvement measures are introduced. With the goal.

  The in-hospital workflow analysis system according to claim 1 is a communication data including a plurality of medical information devices connected to a network and a communication log and an audit log connected to the network and communicated between the medical information devices. An information collection server that collects data indicating the exchange of information between the medical information devices and data indicating a processing time in the medical information devices to generate workflow data for creating a workflow diagram; and the workflow A database for storing data, processing workflow data stored in the database, calculating an average value of the processing time based on the statistics of the workflow data, creating a workflow diagram based on the average value, and the workflow data Based on the workflow to create individual workflow diagrams for each patient And Deta processing unit, characterized by comprising a display unit for displaying a workflow diagram created by the workflow data processing unit.

  The hospital workflow analysis system of the present invention according to claim 6 includes a plurality of medical information devices connected to a network, and a communication log and an audit log connected to the network and communicated between the medical information devices. An information collection server that collects data indicating the transfer of information between each medical information device and data indicating a processing time in each medical information device from communication data, and generates workflow data for creating a workflow diagram; A database that stores the workflow data, and a workflow diagram that processes the workflow data stored in the database to transfer information between the medical information devices and the processing time, and resources related to patient medical care To create a resource graph that represents the processing time for each resource. And click flow data processing unit, characterized by comprising a display unit for displaying said workflow diagram that created the resource graph the workflow data processing unit.

  In addition, according to the hospital workflow analysis method of the present invention, the information between the medical information devices is obtained from communication data including communication logs and audit logs communicated between a plurality of medical information devices connected to the network. The data indicating the delivery of data and the data indicating the processing time of each medical information device are collected, and workflow data for creating a workflow diagram is generated based on the collected data, stored in the database, and stored in the database The workflow data is processed, an average value of the processing time is calculated based on the statistics of the workflow data, and a workflow diagram based on the average value is created, and an individual workflow diagram for each patient is created based on the workflow data. Create and analyze the workflow by displaying the created workflow diagram on the display And features.

  Furthermore, the in-hospital workflow analysis method according to the fourteenth aspect of the present invention provides information between medical information devices from communication data including communication logs and audit logs communicated between a plurality of medical information devices connected to a network. The data indicating the delivery of data and the data indicating the processing time of each medical information device are collected, and workflow data for creating a workflow diagram is generated based on the collected data, stored in the database, and stored in the database Resources that represent the processing time for each resource by selecting a resource related to the medical treatment of the patient while creating a workflow diagram that represents the processing time and the passing of information between the medical information devices Create a graph and display the created workflow diagram and resource graph on the display unit. And performing analysis of the row.

  According to the present invention, by analyzing and visualizing a workflow, it is possible to easily grasp whether a system problem is a physical factor or a human factor. In addition, when an improvement measure for a problem is introduced, the improvement effect can be simulated, so that the efficiency of medical work can be improved and the service to patients can be improved.

  Hereinafter, an embodiment of the present invention will be described in detail with reference to the drawings.

  The in-hospital workflow analysis system of the present invention will be described below. The workflow means at least the flow of information between the medical information devices, and may be referred to as a process or a process flow when focusing on the time-series flow of information in the workflow.

  FIG. 1 is an overall configuration diagram of an in-hospital information system according to the present invention. In FIG. 1, reference numeral 1 denotes an in-hospital network, and a plurality of medical information devices 31 to 34 are connected to the network 1 via communication control devices 21 to 24. In the embodiment of FIG. 1, the medical information device 31 is an RIS, the medical information device 32 is a modality, the medical information device 33 is an image server, and the medical information device 34 is a workstation.

  In the following description, each medical information device may be referred to as RIS 31, modality 32, image server 33, and workstation 34. In addition, although the four medical information devices 31 to 34 are illustrated in FIG. 1, other medical information devices may be connected.

  Each of the medical information devices 31 to 34 is provided with information terminals 41 to 44 for capturing communication information between the devices (hereinafter, communication information is referred to as communication data). Are connected to the network 1 via the communication control devices 21 to 24. The information terminals 41 to 44 are composed of, for example, a PC (Personal Computer), and the information terminals 41 to 44 are equipped with data capturing modules 51 to 54 for capturing communication data.

  As the communication control devices 21 to 24, for example, repeater hubs are used. Since the same communication data flows through the ports of the repeater hubs 21 to 24, the communication data input / output to / from the RIS 31, the modality 32, the image server 33, and the workstation 34 is the information terminal 41 connected to the repeater hubs 21 to 24. All data can be captured by the data acquisition modules 51 to 54 in .about.44.

  In addition, an information collection server 6 and general-purpose PCs 7 and 8 are connected to the network 1. The information collection server 6 collects the captured data and creates a workflow diagram, and the PCs 7 and 8 are for referring to the workflow diagram. Further, an information take-in control unit 9 that activates each of the information terminals 41 to 44 is connected to the network 1.

  FIG. 2 is a configuration diagram of another embodiment of the in-hospital information system according to the present invention. The difference from FIG. 1 is that the data capture modules 51 to 54 are incorporated in the medical information devices of the RIS 31, modality 32, image server 33, and workstation 34.

  According to such a system configuration, the repeater hubs 21 to 24 and the information terminals 41 to 44 are unnecessary, but the original processing (performance) of each medical information device such as the RIS 31, the modality 32, the image server 33, and the workstation 34 is not necessary. Although there is a possibility of impact, practical use is possible.

  Next, the flow of information processing in the hospital information system of FIG. 1 will be described with reference to FIGS. 2, there is no difference in the operation of the data capture modules 51 to 54 and the information collection server 6, and the overall processing flow is the same. Therefore, the system in FIG. 1 will be representatively described. In actual hospitals, there are many devices not shown (for example, devices that perform patient registration, order entry, accounting processing, etc.). Specifically, processing can be performed using the same mechanism, and the process is not limited to the process between the RIS 31, modality 32, image server 33, and workstation 34.

  FIG. 3 is a flowchart for creating a workflow diagram. Step S0 is a start step, and in the next step S1, the user (doctor or operator) creates a range (communication data capture range) for creating a workflow diagram for exchanging information between the medical information devices 31-34. The information terminals 41 to 44 for acquiring communication data using the information take-in control unit 9 are activated.

  In step S2, data capture is started to capture necessary communication data. For example, if the process analysis range is between the RIS 31, modality 32, image server 33, and workstation 34, the data capture modules 51 to 54 are activated and data capture is started in each of them. Thereafter, all the communication data between the devices flowing on the network 1 is captured by the data capture modules 51 to 54, respectively.

  When data necessary for analysis is captured, each data capture module 51-54 ends data capture. The timing of termination is arbitrary, but for example, a method in which the user explicitly instructs termination, or automatically terminates after a certain period of time can be considered.

  Next, the data acquisition modules 51 to 54 extract only data of a notable protocol (hereinafter referred to as a target protocol) from the acquired data. The target protocol is, for example, DICOM, HL7 (Health Level Seven), or the like, and in this embodiment, a case where DICOM data is extracted will be described.

  In step S3, a message part is extracted from the extracted DICOM data. The message part includes, for example, `` data transmission request (C-STORE-RQ) '', `` data transmission response (C-STORE-RSP) '', `` data search request (C-FIND-RQ) '', `` data search response ( C-FIND-RSP) "or the like, information corresponding to so-called commands is included. In DICOM, the type of data to be transmitted can be determined by SOP Class (Service Object Pair). For example, the SOP Class CT Image Storage in the C-STORE-RQ message means a CT image transmission request.

  Next, in step S4, time information and source / destination information are added to the extracted message part to create “message summary information”.

  FIG. 4 shows an example of message summary information. “MS1a” and “MS2a” are message summary information sent from the acquisition module 51 of the RIS 31. “MS1b”, “MS2b”, and “MS3b” This is message summary information sent from the acquisition module 52 of the modality 32.

  “MS1a” and “MS1b”, and “MS2a” and “MS2b” are message summary information of information exchange between the RIS 31 and the modality 32. Further, since the capture module 52 captures communication related to the modality 32, the created message summary information includes “MS3b” which is communication between the modality 32 and the image server 6.

  As shown in FIG. 4, the message summary information includes the IP address and the port number as the transmission source information and the transmission destination information in addition to the above command and SOP Class. In the case of DICOM, an AE title (Application Entity Title) for identifying an application can be added.

  Next, in step S <b> 5, each data capture module 51 to 54 transmits the created message summary information to the information collection server 6. That is, the message summary information created by each of the data acquisition modules 51 to 54 is collected in one place.

  Step S6 and subsequent steps indicate processing in the information collection server 6. In step S6, message summary information transmitted from the plurality of data acquisition modules 51 to 54 is received and matching processing is performed. In step S7, reception is performed. Sorted message summary information in time series.

  That is, if the internal clocks of the information terminals 41 to 44 equipped with the data acquisition modules 51 to 54 have variations (time difference), the data acquired by the different data acquisition modules 51 to 54 cannot be correctly sorted in time order. For this reason, these internal clocks are periodically set manually or using NTP (Network Time Protocol: a protocol that adjusts the computer's internal clock correctly via a network), etc., but this alone provides sufficient accuracy. In step S6, the message summary information is collated and matching processing for finding the same message summary information is performed.

  For example, in the system of FIG. 1, communications between RIS 31 and modality 32 should have been captured by both data acquisition modules 51 and 52. Accordingly, duplicate information is included in the message summary information sent from both parties. By finding such overlapping information, it is possible to adjust the internal clock even if there is a slight time difference.

  This will be described with reference to FIG. In FIG. 4, when matching processing is performed by comparing each message summary information, it is understood that “MS1a” and “MS1b” and “MS2a” and “MS2b” are the same communication. There is a time difference of 500 m (sec) between the two. In this case, priority is given to the message summary information with the earlier time, and when these message summary information is put together in time series, the message in the double frame of FIG. The summary information “MS1a”, “MS2a”, and “MS3b” are sorted.

  Further, by performing the same processing in addition to the message summary information created by the capture modules 53 and 54 in FIG. 1, all communication processes among the RIS 31, the modality 32, the image server 33, and the workstation 34 are arranged in time series. be able to.

  Next, in step S8, the information collection server 6 creates a workflow diagram from the message summary information (MS1a, MS2a, MS3b) arranged in time series. This flowchart is converted into HTML (Hyper Text Markup Language) in step S9. The information collection server 6 also functions as an HTML server (Web server), and the created workflow diagram is stored and registered in the server area as an HTML file in step S10.

  The general-purpose PCs 7 and 8 can refer to a target workflow diagram by accessing a page on the server via a Web browser as a client and following a link from index information written therein. In step S11, the information collection server 6 updates index information and related pages every time a new workflow diagram is registered, and ends the process in step S12.

  FIG. 5 shows an example of a workflow diagram (process flow diagram). In FIG. 5, the vertical axis represents the time axis, and the communication status between the devices is displayed in time series from top to bottom. 5 correspond to the RIS 31, modality 32, image server 33, and workstation 34, and a correspondence table of IP addresses and device names set in advance in the information collection server 6. Can be displayed by referring to.

  FIG. 6 shows an example of the correspondence table, where the left column is the IP address, and the right column is the device name represented on the process flow diagram. If the corresponding device name does not exist in the correspondence table, the IP address included in the message summary information or the AE title may be displayed.

  Furthermore, the information collection server 6 has a function of analyzing a process flow diagram and warning a problem, and can display the problem in red, for example. The portion 100 displayed as “Warning” in FIG. 5 is actually displayed after the workstation 34 (WS-3) makes an image acquisition request (C-MIVE-RQ) to the image server 33 (IMG SERVER-2). It warns that the time until image transmission is started is abnormally long. In this example, it is suspected that the load on the image server 33 is high and the performance is degraded. The number “119” in FIG. 5 is, for example, a number indicating an abnormal response time, but the message 100 can be written as well as the number.

  Several methods can be considered to determine whether it is normal or abnormal. For example, create a standard process flow diagram as a reference in advance and warn if the difference exceeds a certain reference, or operate the system when it is normal and use the above method as a reference There is a method to create a process flow diagram and warn when the difference between the process flow diagrams exceeds a certain standard.

  As described above, in the system of FIG. 1 or FIG. 2, a workflow diagram is created using communication data between the medical information devices 31 to 34, thereby grasping a problem in the system, for example, a cause part of processing delay. be able to.

  In the above description, an example of creating a workflow diagram using communication data (communication log) between the medical information devices 31 to 34 has been described. However, not only a communication log but also an audit log (Audit Log) is created. It is also possible to refer to this audit log. In the audit log, information such as when and what was recorded is recorded, and if a workflow diagram is created using these audit logs, a true workflow including the operation time of each device by medical staff etc. A figure can be created.

  For example, in the case of an unusually long patient waiting time in medical care, grasp whether it is caused by the performance of the device or the skill of the medical staff who operates the device be able to.

  When the information capture modules 51 to 54 are mounted in the devices 31 to 34 as shown in FIG. 2, the audit log data is directly acquired from the devices 31 to 34. Further, in the case of the system configuration as shown in FIG. 1, each device 31 to 34 transmits log data in order to store the audit log in the audit log repository on the network 1, so that it is the same as other communication data. Can be captured.

  The present invention creates a workflow diagram using communication data including a communication log and an audit log. Hereinafter, the hospital workflow analysis system of the present invention will be described.

  FIG. 7 is a block diagram showing the in-hospital workflow analysis system of the present invention. In FIG. 7, reference numeral 10 denotes a workflow data processing unit. The workflow data processing unit 10 is connected to a first database 11 that stores workflow data and a second database 12 that stores processing results of the workflow data. Yes.

  The first database 11 stores data (workflow data) collected by the information collection server 6 of FIG. 1 or 2 and used for creating a workflow diagram. The workflow data processing unit 10 processes the workflow data stored in the first database 11 to create various workflow diagrams, and stores the processing result of the workflow data in the second database 12.

  An input device 13 and an output device 14 are connected to the workflow data processing unit 10. The input device 13 inputs various instructions when creating a workflow diagram. The workflow data processing unit 10 receives user instructions. Follow the steps to create various workflow diagrams.

  The output device 14 displays the workflow diagram created by the workflow data processing unit 10. The input device 13 and the output device 14 correspond to the general-purpose PC 7 or PC 8 shown in FIG. In the workflow data processing unit 10, various workflow diagrams can be created by using audit log data in addition to the workflow diagram as shown in FIG.

  For example, create a quantitative sequence diagram for each order type (radiology, internal medicine, pediatrics, etc.), wait for the patient, how long the doctor / engineer is waiting for the test data to be prepared, and prepare the test data. Displays the waiting time until the person uses each device. In addition, the problem can be found based on the workflow diagram, and the improvement effect when the workflow improvement measure is introduced can be simulated.

The data such as the waiting time is obtained using, for example, a patient ID as a key, and an examination flow chart for each patient is created. The order type is determined using MWM / MPPS information of communication capture data. MWM (Modality Work List Management) manages the examination reservation list, and can search the appointment examination list using the date, patient ID, modality type, etc. as keys. In addition, MPPS (Modality Performed Procedure Step) manages information such as an imaging part, an imaging start time, and an imaging end time.
FIG. 8 is a flowchart showing an outline of the operation of the in-hospital workflow analysis system of FIG.

  In FIG. 8, step S <b> 21 is a sequence diagram creation step by the workflow data processing unit 10. The workflow data processing unit 10 creates a sequence diagram using the workflow data stored in the first or second database 11. The sequence diagram in this case means a workflow diagram.

  Step 22 is a step of calculating a deviation value from an average value of time required for various inspections and operations. Here, for example, the average value of the actual inspection time using the modality and the time taken for the inspection preparation and the outlier are calculated. Based on this, the waiting time of the patient is calculated.

  Step S23 is a step of calculating a work time for each resource. Here, the work time for each inspection engineer or office worker is calculated for each inspection apparatus.

  The workflow can be grasped by adding and displaying the calculation results of steps S22 and S23 to the sequence diagram created in step S21.

  The next step S24 is a step of setting a method of improving the problem when the problem is found by analyzing the workflow. For example, it is a step of adopting a technique for improvement, such as adopting more efficient equipment as RIS, or personnel rearrangement.

  Step S25 is a sequence diagram creation step when the flow is improved, and a sequence diagram is created using the workflow data stored in the database 11 as in step S21.

  Further, step 26 is a step of calculating a deviation value from the average value of the time required for various inspections and operations when the workflow is improved, and step S27 calculates a work time for each resource when the flow is improved. It is a step to do. By adding and displaying the calculation results of steps S26 and S27 to the sequence diagram created in step S25, the improved workflow can be grasped.

  FIG. 9 is an example of a workflow diagram created in the present invention, and shows a sequence diagram for each order type. In FIG. 9, the vertical axis represents the processing time in each medical information device, and the horizontal axis represents information exchange between the medical information devices. As medical information devices, HIS, RIS (1), RIS (2), PACS This shows a case where medical treatment is performed using a modality.

  The above processing time includes patient waiting time, time required for paperwork (reception, etc.), time for doctors / engineers to wait for completion of preparation of test data, actual test time using modalities, etc. . FIG. 9 shows an example of a sequence diagram in the radiology department, and displays an average value and an outlier value of processing time for medical treatment.

  In FIG. 9, lines A, B, and C show individual workflow diagrams for the patients a, b, and c, respectively, and a thick line D shows a workflow diagram by average values. As processing time per patient, in addition to waiting time, HIS reception processing, RIS (1) radiology reception processing, RIS (2) laboratory terminal reception processing, PACS and modality And the time required for the inspection processing in the modality.

  From FIG. 9, it can be seen that the processing time of patients a and b is not so different from the average value D, but the processing time of patient c is significantly different from the average value D. In the sequence diagram of FIG. 9, the workflow diagram of the patient c is displayed as an outlier and is identified and displayed in red, for example.

  As a criterion for determining the outlier value, for example, a value such as 3σ as shown in FIG. The outlier value threshold value is determined as an outlier value if it deviates from an allowable value centered on the average value.

  In this way, by referring to the sequence diagram, if an example of an abnormally long waiting time occurs, it is possible to grasp whether it is due to the performance of the device or the skill of the medical staff who operates the device. can do.

  FIG. 11 shows another sequence diagram. The example of FIG. 11 shows individual sequence diagrams A to E for each patient (a to e) on the day when the patient has a complaint. In this example, a state in which a plurality of patients are concentrated in the reception process of the laboratory terminal in RIS (2) and the total waiting time occurs for 30 minutes or more is displayed by arrows α and β.

  From this sequence diagram, the user can be provided with materials for determining whether or not the bottleneck of the system is due to the configuration of the device. In this way, when a problem is found by analyzing the workflow (sequence diagram), various methods are adopted to improve the problem.

  For example, as an RIS (2) laboratory terminal, an Order Filler system that can automatically input a patient name or the like that has been input by manual operation using an IC chip or the like. Incorporating techniques such as introducing a system and increasing the number of personnel operating the laboratory terminals.

  FIG. 12 shows a sequence diagram when the improvement method is introduced. FIG. 12 shows a sequence diagram when the Order Filler system is introduced into RIS (2), for example. In this figure, the case where the patient waiting time (indicated by arrows α and β) is shortened by introducing the Order Filler system is simulated.

  FIG. 13 shows another sequence diagram in which a resource graph is added. As resources, medical information devices, operators, medical work items, and the like can be selected. FIG. 12 illustrates a resource diagram and sequence diagrams A to E representing patient waiting times when the person in charge of RIS (2) is X and the persons in charge of modality are Y and Z. . From the resource graph, it can be seen that the processing time of the person in charge X is prominent compared to the other persons in charge Y and Z, and the burden on the person in charge X is large.

  FIG. 14 shows a sequence diagram after improvement and a resource graph. In this example, the person in charge of operation of RIS (2) is divided mainly by the person in charge X and Z, and the person in charge of the modality is divided mainly by Y and partly by Y and Z. In this case, the change is shown. In this example, human work efficiency can be compared, and the user can be provided with materials for determining whether the bottleneck of the system is due to humans.

  When creating a resource graph, resource information can be acquired from communication capture data as shown in FIG. 15, for example. FIG. 15 shows an example of DICOM communication capture data, and information on the person in charge of the operation can be acquired from information called an operator name (Operators Name).

  As described above, in the present invention, even a medical institution with a large number of examinations can accurately grasp the problem by analyzing the current workflow. Moreover, when an improvement measure is introduced, the user can easily grasp the effect of the introduction.

  For example, from the current situation and the improved workflow diagram (sequence diagram), it is possible to know whether or not a business bottleneck has occurred due to things such as device performance and the number of devices. In addition, since the work efficiency of workers can be compared by creating a resource graph, it is possible to know whether or not a bottleneck has occurred due to a person.

  Therefore, it is possible to provide the user with materials for judging whether the bottleneck is caused by things or people, and if the points to be improved become clear and the points to be improved are known, the user can effectively work. Efficiency, cost reduction, and patient waiting time can be reduced. In addition, since the effect after the introduction of the improvement measures can be simulated, unnecessary trials can be omitted and risks can be avoided. Various modifications can be made without departing from the scope of the claims.

The network figure which shows the whole structure of the hospital information system which concerns on this invention. The network figure which shows the other structure of the hospital information system which concerns on this invention. The flowchart explaining preparation of the workflow figure by the system of FIG. Explanatory drawing explaining the message summary information utilized with the system of FIG. FIG. 2 is an explanatory diagram illustrating an example of a workflow diagram created by the system of FIG. 1. The correspondence table of the IP address and device name of the device used in the system of FIG. The block diagram of the in-hospital workflow analysis system in one Embodiment of this invention. 8 is a flowchart for explaining creation of a workflow diagram by the system of FIG. Explanatory drawing which shows an example of the workflow figure of this invention produced by the system of FIG. Explanatory drawing for the average value calculation used for workflow figure creation of this invention. Explanatory drawing which shows the other example of the workflow figure of this invention. Explanatory drawing which shows a workflow figure when a workflow improvement measure is introduced. Explanatory drawing which shows the example of the workflow figure and resource graph of this invention. Explanatory drawing which shows the example of a workflow figure when a workflow improvement measure is introduced, and a resource graph. Explanatory drawing which shows an example of the communication capture data used in order to acquire resource information.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 ... Network 21, 22, 23, 24 ... Communication control apparatus 31,32,33,34 ... Medical information apparatus 41,42,43,44 ... Information terminal 51,52,53,54 ... Data capture module 6 ... Information collection Server 7, 8 ... PC
9 ... Information capture control unit 10 ... Workflow data processing unit 11, 12 ... Database 13 ... Input device 14 ... Output device

Claims (15)

A plurality of medical information devices connected to the network;
The communication data connected between the medical information devices and the communication data including the communication log and the audit log communicated between the medical information devices, the data indicating the delivery of information between the medical information devices and the processing time in the medical information devices An information collection server that collects data and generates workflow data for creating workflow diagrams;
A database for storing the workflow data;
Process the workflow data stored in the database, calculate the average value of the processing time based on the statistics of the workflow data, create a workflow diagram based on the average value, and individually for each patient based on the workflow data A workflow data processing unit for creating a workflow diagram of
A hospital workflow analysis system comprising: a display unit that displays a workflow diagram created by the workflow data processing unit.   The workflow data processing unit creates the individual workflow diagram out of a predetermined range centered on the average value so as to be identifiable as an outlier with respect to the workflow diagram of the average value. Item 3. A hospital workflow analysis system according to Item 1.   The in-hospital workflow analysis system according to claim 1, wherein the workflow data processing unit can create the average value workflow diagram and the individual workflow diagram after introducing a workflow improvement measure.   The in-hospital workflow analysis system according to claim 1, wherein the processing time includes a waiting time of a patient and an examination time of each medical information device used for medical treatment of the patient. The information collection server extracts message parts from the communication log and creates message summary information including transmission source information, transmission destination information, and time information,
The workflow data processing unit creates a sequence diagram representing information passing between the medical information devices and the processing time using each medical information device based on the message summary information and the audit log. The in-hospital workflow analysis system according to claim 1. A plurality of medical information devices connected to the network;
The communication data connected between the medical information devices and the communication data including the communication log and the audit log communicated between the medical information devices, the data indicating the delivery of information between the medical information devices and the processing time in the medical information devices An information collection server that collects data and generates workflow data for creating workflow diagrams;
A database for storing the workflow data;
The workflow data stored in the database is processed to create a workflow diagram representing information passing between the medical information devices and the processing time, and a resource related to the medical treatment of the patient is selected and processing time for each resource is selected. A workflow data processing unit for creating a resource graph representing
An in-hospital workflow analysis system comprising: the workflow diagram created by the workflow data processing unit; and a display unit for displaying the resource graph.   The in-hospital workflow analysis system according to claim 6, wherein the workflow data processing unit creates a workflow diagram representing information transfer between the medical information devices and the processing time for each patient.   The workflow data processing unit selects any one of a plurality of resources including the medical information device, an operator who operates the medical information device, and the medical work item, and creates the resource graph, The in-hospital workflow analysis system according to claim 6.   The in-hospital workflow analysis system according to claim 6, wherein the workflow data processing unit can create a workflow diagram and a resource graph after introducing a workflow improvement measure.   The in-hospital workflow analysis system according to claim 6, wherein the processing time includes a waiting time of a patient and an examination time of each medical information device used for medical treatment of the patient. The information collection server extracts message parts from the communication log and creates message summary information including transmission source information, transmission destination information, and time information,
The workflow data processing unit, based on the message summary information and the audit log, transfers information between the medical information devices and a sequence diagram representing the processing time using each medical information device, and the resource graph The in-hospital workflow analysis system according to claim 6, which is created. Indicates communication information including communication logs and audit logs communicated between a plurality of medical information devices connected to the network, data indicating delivery of information between the respective medical information devices, and processing time at each medical information device. Collect each data,
Based on the collected data, workflow data for creating workflow diagrams is generated and stored in the database.
Process the workflow data stored in the database, calculate the average value of the processing time based on the statistics of the workflow data, create a workflow diagram based on the average value, and individually for each patient based on the workflow data Create a workflow diagram for
An in-hospital workflow analysis method comprising analyzing the workflow by displaying the created workflow diagram on a display unit. When a workflow improvement measure is introduced based on the analysis result of the workflow, a workflow diagram of the average value and the individual workflow diagram after the introduction of the improvement measure are respectively created,
13. The in-hospital workflow analysis method according to claim 12, wherein the average value workflow diagram and the individual workflow diagram after introducing the improvement measure are displayed on the display unit. From communication data including communication logs and audit logs communicated between a plurality of medical information devices connected to the network, data indicating the transfer of information between the medical information devices, and processing time at each medical information device Collect data to show each
Based on the collected data, workflow data for creating workflow diagrams is generated and stored in the database.
The workflow data stored in the database is processed to create a workflow diagram representing information passing between the medical information devices and the processing time, and the processing for each resource is selected by selecting a resource related to patient medical care. Create a resource graph that represents time,
An in-hospital workflow analysis method comprising analyzing the workflow by displaying the created workflow diagram and resource graph on a display unit. When workflow improvement measures are introduced based on the workflow analysis results, workflow diagrams and resource graphs after the introduction of the improvement measures are created,
The in-hospital workflow analysis method according to claim 14, wherein the workflow diagram and the resource graph after introducing the improvement measure are displayed on the display unit.

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