JP2014197312A - Information processor, information processing method and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an information processor, an information processing method and a program capable of easily determining the validity of a clinical path.SOLUTION: An information processor 10 includes: an operation history acquisition part 110 for acquiring the operation history of a user in the case of correcting a medical examination plan included in a medical examination-categorized path generated for actual medical examination by applying a clinical path in accordance with the actual medical examination; a specific operation extraction part 120 for extracting a specific operation to be used for the evaluation of the clinical path from the acquired operation history; an index value calculation part 130 for calculating the index value of each clinical path on the basis of the number of the extracted specific operations; and a display output part 140 for outputting the index value for each clinical path.

Description

  The present invention relates to an information processing apparatus, an information processing method, and a program thereof.

  In an electronic medical record system introduced in a medical field, a clinical path may be used as a management tool for a medical process. This clinical path is a medical treatment plan that lists the contents of treatment, examination, and nursing care, and their schedules, and is created for each disease name or technique, for example. By using this clinical path, medical efficiency and standardization can be achieved, and improvement in medical quality and safety can be expected. Therefore, in order to create a more effective clinical path, the clinical path is regularly reviewed based on the variance (difference from the medical plan) that is generated as a result of actually applying the clinical path.

  In the following Patent Document 1, by analyzing data accumulated in an electronic medical record system, variance occurrence frequency data representing the occurrence frequency of each variance and a variance influence degree representing the severity of a failure that finally occurs are disclosed. Data and variance detection difficulty data representing the difficulty level of variance detection are generated, and based on these data, the variance that has a significant impact on the improvement of medical quality in the clinical path is efficiently narrowed down and the cause of the occurrence A technique for supporting the extraction of a medical practice that becomes a problem is disclosed. Patent Document 2 below describes the appearance rate of a specific medical item, which is calculated from medical treatment results stored in a certain medical institution, and the standard deviation of the time interval from the time of admission until the medical item is implemented. Based on the above, a technique for supporting the creation of a clinical path suitable for each medical institution is disclosed. In Patent Document 3 below, when an error occurs in the electronic medical record system, a method of analyzing an operation that has caused the error on the electronic medical record using a user operation history on the electronic medical record system. Is disclosed. Also, in the following Patent Document 4, user operations related to an incident (medical accident or a risky event leading to a medical accident) are extracted using the user's operation history on the electronic medical record system, and an incident report is obtained. A method for outputting is disclosed.

JP 2007-108814 A JP 2011-113428 A JP 2009-239706 A JP 2004-355168 A

  Multiple clinical paths may be created for each disease name and technique. Furthermore, the clinical path is reviewed in view of the operation result as described above, and is not always effective. Therefore, it is desired that a doctor can easily determine which clinical path is effective among a plurality of clinical paths.

  An object of the present invention is to provide an information processing apparatus, an information processing method, and a program that can easily determine the validity of a clinical path.

According to the present invention,
An operation history acquisition means for acquiring a user's operation history when the medical plan included in the medical treatment path generated for the actual medical treatment by applying the clinical path is corrected according to the actual medical treatment;
Specific operation extraction means for extracting a specific operation used for evaluation of the clinical path from the acquired operation history;
Index value calculating means for calculating an index value for each clinical path based on the number of the extracted specific operations;
Display output means for outputting the index value for each clinical path;
An information processing apparatus is provided.

According to the present invention,
Computer
Acquire the operation history of the user when the clinical plan included in the clinical path generated for the actual medical treatment by applying the clinical path is corrected according to the actual medical treatment,
Extracting a specific operation used for the evaluation of the clinical path from the acquired operation history,
Based on the number of the extracted specific operations, an index value for each clinical path is calculated,
Outputting the index value for each clinical path;
An information processing method including the above is provided.

According to the present invention,
Computer
An operation history acquisition means for acquiring a user operation history when a medical plan included in a medical treatment path generated for actual medical treatment by applying a clinical path is corrected according to the actual medical treatment,
Specific operation extraction means for extracting a specific operation used for evaluation of the clinical path from the acquired operation history;
Index value calculating means for calculating an index value for each clinical path based on the number of the extracted specific operations;
Display output means for outputting the index value for each clinical path;
A program for functioning as a server is provided.

  According to the present invention, a user such as a doctor can easily determine the effectiveness of the created clinical path.

It is a block diagram which shows the process structural example of the information processing apparatus in 1st Embodiment. It is a figure for demonstrating the flow of the user's operation performed with a client terminal. It is a figure which shows an example of the information memorize | stored in the memory | storage part in 1st Embodiment. It is a figure which shows an example of the information memorize | stored in the specific operation memory | storage part in 1st Embodiment. It is a figure which shows an example of the information which the path | pass information storage part in 1st Embodiment memorize | stores. It is a figure which shows an example of the output content of the display output part in 1st Embodiment. It is a flowchart which shows the flow in which the information processing apparatus in 1st Embodiment calculates the index value for every clinical path. It is a flowchart which shows the flow which the information processing apparatus in 1st Embodiment outputs the index value for every clinical path. It is a figure which shows an example of the information which the specific operation memory | storage in the modification of 1st Embodiment memorize | stores. It is a block diagram which shows the structural example of the specific operation extraction part in 2nd Embodiment. It is a figure which shows an example of the information which the specific operation memory | storage part in 2nd Embodiment memorize | stores. It is a figure for demonstrating the flow in which the index value calculation part in 2nd Embodiment calculates the index value of a clinical path. It is a figure which shows an example of the output content of the display output part in 2nd Embodiment. It is a flowchart which shows the flow in which the information processing apparatus in 2nd Embodiment calculates the index value for every clinical path. It is a flowchart which shows the flow which the information processing apparatus in 2nd Embodiment outputs the index value for every clinical path. It is a block diagram which shows the structural example of the display output part in 3rd Embodiment. It is a figure which shows an example of the information which the path | pass information storage part in 3rd Embodiment memorize | stores. It is a flowchart which shows the flow which the information processing apparatus in 3rd Embodiment outputs the index value for every clinical path. It is a block diagram which shows the process structural example of the information processing apparatus in 4th Embodiment. It is a figure which shows an example of the information which the path | pass information storage part in 4th Embodiment memorize | stores. It is a figure which shows an example of the output content of the display output part in 4th Embodiment. It is a flowchart which shows the flow which the information processing apparatus in 4th Embodiment outputs the index value for every clinical path.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings. In all the drawings, the same reference numerals are given to the same components, and the description will be omitted as appropriate.

(First embodiment)
FIG. 1 is a block diagram illustrating a processing configuration example of the information processing apparatus 10 according to the first embodiment. The information processing apparatus 10 according to the present embodiment includes an operation history acquisition unit 110, a specific operation extraction unit 120, an index value calculation unit 130, a display output unit 140, and a path information storage unit 150.

  The operation history acquisition unit 110 is a doctor, nurse, etc. (hereinafter referred to as a user) when the medical plan included in the medical-specific path generated for the actual medical care by applying the clinical path is corrected according to the actual medical care. ) Operation history. Specifically, the user applies a desired clinical path according to the symptoms of a patient on the client terminal 20 in which the electronic medical record system has been introduced, and generates a medical treatment path used for actual medical care. At the time when the medical treatment path is generated, there is no difference in the medical treatment plan between the medical treatment path and the clinical path. Then, the user performs medical care according to the medical care plan of the medical care path. In the course of medical treatment, when a medical practice different from the medical treatment plan included in the medical treatment path is necessary or necessary, the user modifies the medical treatment plan included in the medical treatment path according to the actual medical treatment. To do. As a result, a difference occurs in the medical treatment plan between the medical treatment path and the clinical path that is the basis of the medical treatment path. The medical treatment plan included in the medical treatment path is corrected when the user executes an operation for correcting the medical treatment path on the client terminal 20. At this time, the operation history of the user related to the correction of the medical treatment path is output from the client terminal 20. The user operation history output in this way is stored in the storage unit 30 in association with the corresponding path for each medical treatment. Then, the operation history acquisition unit 110 acquires the operation history accumulated in the storage unit 30 every predetermined period, for example, every hour. In FIG. 1, the storage unit 30 is located outside the information processing apparatus 10, but may be included in the information processing apparatus 10. Further, the present invention is not limited to this, and the client terminal 20 may directly output the operation history to the operation history acquisition unit 110. In this case, the storage unit 30 is not necessary.

  Here, the flow of outputting the user operation history in the client terminal 20 will be described with reference to FIGS. FIG. 2 is a diagram for explaining a flow of a user operation executed on the client terminal 20. First, as shown in FIG. 2, by applying a certain clinical path, an actual medical treatment path for actual medical treatment is generated. Then, as shown in FIG. 2, the medical care plan of the medical care path is corrected according to the actual medical care. The user operation performed on the client terminal 20 regarding this correction is output as an operation history. Here, as shown in FIG. 2, information including the date and time when the operation was performed on the medical path, the name of the operation performed on the medical path, the operator, and the like is the user's operation history. Is output as The user operation history output in this way is stored in the storage unit 30. Here, an example of information stored in the storage unit 30 in the first embodiment is shown in FIG. As shown in FIG. 3, the user's operation history is stored in the storage unit 30 in association with the corresponding path for each medical treatment. In addition, when the correction is further performed in the path for each medical treatment, information related to the newly performed correction operation is added after the operation history shown in FIG.

  The specific operation extraction unit 120 extracts a specific operation used for clinical path evaluation from the operation history acquired by the operation history acquisition unit 110. “A specific operation used for evaluation of a clinical path” refers to a user operation that can be used as a material for determining the validity of the clinical path. For example, the effectiveness of the clinical path can be determined by using as an index how often the user corrects the medical care plan of the medical care path generated based on a certain clinical path. Therefore, such “specific operation used for evaluation of clinical path” is set in advance as an operation for changing a unit composed of at least one medical practice included in a path for medical treatment, or a path for medical care, for example. For example, an operation for changing the length of a period of a given medical practice or instruction, an operation for changing the content of an instruction set in advance in the path for medical care, and an operation for canceling the path for medical care in the middle. In the present embodiment, the specific operation extraction unit 120 extracts at least one of these operations as a specific operation.

  A specific example of the specific operation will be described with reference to FIG. FIG. 4 is a diagram illustrating an example of information stored in a specific operation storage unit (not illustrated) in the first embodiment. The specific operation storage unit stores information for identifying a specific operation from the operation history acquired by the operation history acquisition unit 110. In FIG. 4, “specific operation name” is information for dividing various user operations included in the operation history acquired by the operation history acquisition unit 110 into specific operations and other operations. . The specific operation extraction unit 120 compares the operation name included in the user's operation history acquired by the operation history acquisition unit 110 with the specific operation name stored in the specific operation storage unit. Specific operations can be extracted from Note that the information shown in FIG. 4 is an example, and the present invention is not limited to this. For example, the specific operation storage unit may store all operations output as operation history at the client terminal 20 and flag information indicating whether or not the operation is a specific operation. Even in this way, the specific operation extraction unit 120 can extract a specific operation from the operation history acquired by the operation history acquisition unit 110. In addition, the specific operation storage unit may be included in the information processing apparatus 10 or may be included in another apparatus other than the information processing apparatus 10.

  The index value calculation unit 130 calculates an index value for each clinical path based on the number of specific operations extracted by the specific operation extraction unit 120. This index value is a numerical value indicating the effectiveness of the clinical path. In the present embodiment, the index value calculation unit 130 uses the average value of the number of specific operations extracted by the specific operation extraction unit 120 from the operation history linked to the medical treatment path as the basis of the medical treatment path. The index value is calculated for each clinical path. The index value calculated by the index value calculation unit 130 is not limited to the average value of the number of specific operations. For example, the index value calculation unit 130 may calculate a maximum value or the like of the number of specific operations, and may use the index value for each clinical path. In the present embodiment, the index value for each clinical path calculated by the index value calculation unit 130 is stored in the path information storage unit 150 that stores information related to the index value of the clinical path. In FIG. 1, the path information storage unit 150 is provided in the information processing apparatus 10, but may be provided in a device other than the information processing apparatus 10.

  Here, the flow in which the index value calculation unit 130 according to the first embodiment calculates the index value of the clinical path will be described with reference to FIG. FIG. 5 is a diagram illustrating an example of information stored in the path information storage unit 150 according to the first embodiment. Here, it is assumed that the path information storage unit 150 stores information on the index value of the clinical path as shown in FIG. The “clinical path ID” stores information for uniquely specifying a plurality of clinical paths. Further, the “index value” stores the index value calculated by the index value calculation unit 130 for the clinical path. In FIG. 5, the clinical path with the clinical path ID “Path001” has been applied five times in the past, and the path for each medical treatment shown in FIG. 2 is assumed on the assumption that the index value of the clinical path is “3”. An example in which the result is reflected will be described. The upper part of FIG. 5 shows the state of the path information storage unit before the result of the path for each medical treatment shown in FIG. 2 is reflected. The lower part of FIG. 5 shows the state of the path information storage unit after the result of the path for each medical treatment shown in FIG. 2 is reflected. When the specific operation storage unit shown in FIG. 4 is used, the specific operation extraction unit 120 extracts six specific operations from the operation history associated with the medical treatment path shown in FIG. 2 is generated based on the clinical path whose clinical path ID is “Path001”, the index value calculation unit 130 uses the number of specific operations extracted. The index value of the clinical path whose clinical path ID is “Path001” is calculated. When the result of the path by medical treatment shown in FIG. 2 is reflected, the index value of the clinical path whose clinical path ID is “Path001” is updated to “4” as shown in the lower part of FIG.

  The display output unit 140 outputs the index value calculated by the index value calculation unit 130 for each clinical path. Here, an example of the output contents of the display output unit 140 in the first embodiment is shown in FIG. In the present embodiment, the display output unit 140 reads the index value calculated by the index value calculation unit 130 from the path information storage unit 150 and displays it on a screen as shown in FIG. FIG. 6 is an example of a screen for selecting a clinical path that is the basis of a path for each medical treatment. This screen is displayed on the client terminal 20, and the user selects one of the clinical paths, and generates a path for each medical treatment.

  Note that each component of the information processing apparatus 10 illustrated in FIG. 1 and the like is not a hardware unit configuration but a functional unit block. Each component of the information processing apparatus 10 is centered on an arbitrary computer CPU, memory, a program that implements the components shown in the figure loaded in the memory, a storage medium such as a hard disk that stores the program, and a network connection interface. It is realized by any combination of hardware and software. There are various modifications of the implementation method and apparatus.

  A processing flow of the information processing apparatus 10 in this embodiment will be described with reference to FIGS. 7 and 8. The processing of the information processing apparatus 10 can be broadly divided into processing for calculating an index value for each clinical path and processing for outputting the calculated index value for each clinical path.

  First, the flow of processing for calculating an index value for each clinical path will be described with reference to FIG. FIG. 7 is a flowchart illustrating a flow in which the information processing apparatus 10 according to the first embodiment calculates an index value for each clinical path.

  The information processing apparatus 10 acquires the operation history stored in the storage unit 30 (S102). Then, the information processing apparatus 10 extracts a specific operation from the operation history acquired in S102 using information for identifying the specific operation as illustrated in FIG. 4 (S104). Then, the information processing apparatus 10 calculates an index value based on the number of specific operations extracted in S104 (S106). Specifically, the information processing apparatus 10 determines the current index value of the clinical path that is the basis of the path for each medical treatment associated with the operation history acquired in S102, and the number of specific operations extracted in S104. Based on the above, the average value, the mode value, etc. are calculated. The information processing apparatus 10 stores the index value calculated in S106 in the path information storage unit 150 in association with the corresponding clinical path (S108).

  Next, processing in which the information processing apparatus 10 outputs an index value for each clinical path will be described with reference to FIG. FIG. 8 is a flowchart illustrating a flow in which the information processing apparatus 10 according to the first embodiment outputs an index value for each clinical path. For example, the information processing apparatus 10 executes a process of outputting an index value for each clinical path triggered by the opening of a screen as shown in FIG.

  The information processing apparatus 10 acquires an index value for each clinical path from the path information storage unit 150 (S202). The information processing apparatus 10 outputs the index value for each clinical path acquired in S202 to the corresponding clinical path row as shown in FIG. 6, for example (S204).

  As described above, according to the present embodiment, when an arbitrary clinical path is applied, a history of operations in which the user corrects the clinical path according to actual medical care is acquired. Then, specific operations that can be used when evaluating the clinical path are extracted from the operation history. Based on the number of extracted specific operations, an index value indicating the effectiveness of the clinical path is calculated and stored. Then, the stored index value for each clinical path is presented to the user.

  Thus, according to the present embodiment, the user can easily determine which clinical path to use when performing a certain medical treatment based on the presented index value. As a result, the user can select a more effective clinical path, and the medical efficiency in the hospital can be improved. Also, based on the index value, the user can avoid the use of a clinical path that needs to be corrected frequently (ie, low quality), and can improve the quality of medical care in the hospital.

  Moreover, according to this embodiment, effects other than those described above can also be obtained.

  For example, in an existing electronic medical record system, a user manually inputs a difference with respect to a goal in a medical treatment plan called an outcome as a variance. Here, while the user wants to input this variance as a medical record or medical article, the side creating the clinical path wants the user to input it as useful information for later analysis. Due to the difference in purpose between the two, it is difficult to accumulate and operate variances that satisfy each other.

  In this embodiment, a user's operation history with respect to a medical treatment path is acquired and used as information in place of the variance input in the current system. Thereby, according to this embodiment, even if a user inputs so that a variance is desired, useful information can be accumulated at the time of clinical path evaluation. In addition, it is not necessary for the user to input variance as information useful for analysis, and inputting the variance does not hinder medical practice. That is, it is possible to provide the operation of variance according to both purposes.

(Modification of the first embodiment)
In this modification, a weight for each specific operation is determined in advance, and an index value is calculated according to the weight.

  FIG. 9 is a diagram illustrating an example of information stored in the specific operation storage in the modification of the first embodiment. Unlike the first embodiment, in FIG. 9, weighting is set for each specific operation. However, the weighting shown in FIG. 9 is an example, and is not limited to this. The weighting set for a specific operation is determined by how much the modification that affects the medical contents of the underlying clinical path is made. In the example of FIG. 9, the weighting of the operation that deviates from the basic clinical path but does not directly affect the change of the medical treatment content is set to “1”. In the example of FIG. 9, “Add Candidate Unit”, which is an operation of increasing the options when switching units, corresponds to this. Further, in the example of FIG. 9, the weight of the operation that deviates from the basic clinical path and changes the medical treatment contents is “2”. In the example of FIG. 9, for example, “date shortening” for shortening the period of a certain instruction corresponds to this. Further, in the example of FIG. 9, the weight of the operation that greatly changes the medical treatment content is set to “3”. In the example of FIG. 9, for example, “date extension” for extending the period of a certain instruction corresponds to this. In the example of FIG. 9, the weight of “path cancellation”, which is the operation having the greatest influence, is set to “5”.

  The index value calculation unit 130 calculates the index value taking into account the weight for each specific operation. For example, it is assumed that there are three operations extracted by the specific operation extraction unit 120: “order addition”, “order correction”, and “date extension”. In this case, a numerical value “7” is calculated according to the weighting shown in FIG. Then, the index value calculation unit 130 uses this weighted numerical value to calculate the index value of the clinical path as described in the first embodiment.

  As described above, according to the present embodiment, an index value is calculated in consideration of the degree of influence of correction by a specific operation. Thereby, according to this embodiment, the effectiveness of each clinical path can be presented to the user in an easily understandable manner.

(Second Embodiment)
This embodiment is the same as the first embodiment except for the following points.

  FIG. 10 is a block diagram illustrating a configuration example of the specific operation extraction unit 120 in the second embodiment. In the present embodiment, the specific operation extraction unit 120 includes a specific operation determination unit 122.

  The specific operation determination unit 122 determines whether the specific operation extracted by the specific operation extraction unit 120 belongs to positive variance or negative variance. Here, the “variance” is a difference between the treatment plan of the treatment-specific path corrected according to the actual treatment and the clinical path treatment plan based on the treatment-specific pass. In addition, “positive variance” is a variance that increases the efficiency of the path for each medical treatment over the base clinical path. The positive variance includes, for example, a variance in which the efficiency of the treatment-specific path is higher than that of the base clinical path, such as shortening the schedule of the entire treatment-specific path by the “date shortening” operation. . “Negative variance” is a variance that lowers the efficiency of the path for each medical treatment compared to the clinical path used as a basis. Examples of the negative variance include a variance in which the efficiency of the treatment-specific pass is lower than that of the base clinical pass, for example, the schedule of the entire treatment-specific pass is extended by the “date extension” operation. .

  The operation of the specific operation determination unit 122 will be described with reference to FIG. FIG. 11 is a diagram illustrating an example of information stored in the specific operation storage unit according to the second embodiment. As shown in FIG. 11, the specific operation is divided into a positive variance and a negative variance. Note that the “unit switching” operation can be a positive variance or a negative variance depending on the difference in the contents of the units before and after the switching. Therefore, for the “unit switching” operation, for example, based on whether the date is shortened or extended, and whether the number of medical practices such as examinations and instructions is increased or decreased, etc. It is determined whether the variance is negative or negative. Based on the specific operation extracted by the specific operation extraction unit 120 and the specific operation name stored in the specific operation storage unit, the specific operation determination unit 122 has positive variance and negative variance. Judgment to which one belongs Then, the specific operation determination unit 122 transmits the specific operation determined to be positive variance and the specific operation determined to be negative variance to the index value calculation unit 130. For example, when the specific operation extraction unit 120 extracts a specific operation of “date shortening” twice and “add order” once, the specific operation determination unit 122 receives information as shown in FIG. Are used to determine that “date shortening” is positive variance and “add order” is negative variance.

  The index value calculation unit 130 sets the index value based on the number of specific operations determined as positive variance by the specific operation determination unit 122 and the number of specific operations determined as negative variance by the specific operation determination unit 122. A base index value is calculated for each clinical path.

  Here, a flow in which the index value calculation unit 130 according to the second embodiment calculates the index value of the clinical path will be described with reference to FIG. FIG. 12 is a diagram for explaining a flow in which the index value calculation unit 130 according to the second embodiment calculates the index value of the clinical path. Here, it is assumed that the path information storage unit 150 stores information as shown in FIG. In FIG. 12, the clinical path whose clinical path ID is “Path001” has been applied once in the past, the index value based on the specific operation determined to be positive variance is “0”, and the negative variance is It is assumed that the index value based on the determined specific operation is “3”. Then, as shown in FIG. 12, when the clinical path whose clinical path ID is “Path001” is applied for the second time, the number of specific operations determined to be positive variance is “2”. It is assumed that the number of specific operations determined as negative variance is “1”. In this case, the index value calculation unit 130 calculates the index value based on the specific operation determined to be positive variance as “0 + 2 ÷ 2 = 1”. In this case, the index value calculation unit 130 calculates the index value based on the specific operation determined to be negative variance as “3 + 1 ÷ 2 = 2”. Then, the index value calculation unit 130 updates the path information storage unit 150 with each calculated index value. Note that the index value calculation unit 130 may calculate the index value using a weight determined for each specific operation, as described in the second embodiment.

  The display output unit 140 distinguishes between an index value calculated by the index value calculation unit 130 based on a specific operation determined to be positive variance and an index value based on a specific operation determined to be negative variance , Output for each clinical path. Here, an example of the output content of the display output unit 140 in the second embodiment is shown in FIG. In the present embodiment, the display output unit 140 includes an index value based on a specific operation determined as a positive variance calculated by the index value calculation unit 130 and an index value based on a specific operation determined as a negative variance. Are read from the path information storage unit 150 and displayed on a screen as shown in FIG.

  A processing flow of the information processing apparatus 10 in the present embodiment will be described with reference to FIGS. 14 and 15.

  First, the flow of processing in which the information processing apparatus 10 calculates an index value for each clinical path will be described with reference to FIG. FIG. 14 is a flowchart illustrating a flow in which the information processing apparatus 10 according to the second embodiment calculates an index value for each clinical path.

  The information processing apparatus 10 determines whether the specific operation extracted in S104 belongs to a positive variance or a negative variance (S302). The information processing apparatus 10 calculates an index value based on the number of specific operations determined to be positive variance and an index value based on the number of specific operations determined to be negative variance (S304). ). Then, the information processing apparatus 10 calculates the index value based on the number of specific operations determined to be positive variance and the index value based on the number of specific operations determined to be negative variance, which are calculated in S304. It is associated with the corresponding clinical path and stored in the path information storage unit 150 (S306).

  Next, a processing flow in which the information processing apparatus 10 outputs an index value for each clinical path will be described with reference to FIG. FIG. 15 is a flowchart illustrating a flow in which the information processing apparatus 10 according to the second embodiment outputs an index value for each clinical path.

  The information processing apparatus 10 provides, for each clinical path, an index value based on a specific operation determined to be positive variance and an index value based on a specific operation determined to be negative variance from the path information storage unit 150. Obtain (S402). Then, the information processing apparatus 10 obtains the index value based on the specific operation determined to be positive variance and the index value based on the specific operation determined to be negative variance, acquired in S402, for example, FIG. As shown in FIG. 4, the output is distinguished from each other (S404).

  As described above, according to the present embodiment, the specific operation determination unit 122 determines whether the specific operation extracted by the specific operation extraction unit 120 belongs to a positive variance or a negative variance. Then, based on the determination result, an index value based on a specific operation determined to be positive variance and an index value based on a specific operation determined to be negative variance are calculated. The display output unit 140 separately outputs an index value based on a specific operation determined to be positive variance and an index value based on a specific operation determined to be negative variance.

  Thus, according to the present embodiment, when a certain clinical is applied, the actual medical treatment tends to deviate in the direction of increasing efficiency or deviates in the direction of decreasing efficiency with respect to the clinical plan medical treatment plan. It can be judged whether the tendency to do is strong. That is, according to the present embodiment, the user can determine the effectiveness of each clinical path more accurately.

(Third embodiment)
This embodiment is the same as the first and second embodiments except for the following points.

  FIG. 16 is a block diagram illustrating a configuration example of the display output unit 140 according to the third embodiment. In the present embodiment, the display output unit 140 includes an application count acquisition unit 142.

  The application count acquisition unit 142 acquires, for each clinical path, the number of times that the clinical path is generated by applying the clinical path. Here, FIG. 17 is a diagram illustrating an example of information stored in the path information storage unit 150 according to the third embodiment. As illustrated in FIG. 17, the path information storage unit 150 according to the third embodiment stores the number of times a clinical path is generated by applying a clinical path in association with each clinical path. When the display output unit 140 outputs an index value for each clinical path, the application number acquisition unit 142 acquires the number of times that a medical treatment path is generated for the corresponding clinical path.

  Then, the display output unit 140 outputs the index value and the number of generations of the treatment-specific path acquired by the application count acquisition unit 142 in association with each clinical path.

  A processing flow of the information processing apparatus 10 in the present embodiment will be described with reference to FIG. FIG. 18 is a flowchart illustrating a flow in which the information processing apparatus 10 according to the third embodiment outputs an index value for each clinical path.

  The information processing apparatus 10 acquires the index value and the number of times the path for each medical treatment is generated for each clinical path (S502). Then, the information processing apparatus 10 outputs the index value for each clinical path acquired in S502 in association with the number of times the path for each medical treatment is generated (S504).

  As described above, in the present embodiment, for each clinical path, the number of times that the clinical path is generated by applying the clinical path is acquired. Then, the index value for each clinical path and the number of times the path for each medical treatment is generated are output.

  Thereby, according to the present embodiment, the user can use the number of times of use of each clinical path as one of the indexes for determining the validity of the clinical path, and can more accurately determine the validity of the clinical path. . For example, when there are a plurality of clinical paths having the same index value, the user can determine that the credibility of the index value is higher when the number of uses is larger.

(Fourth embodiment)
This embodiment is the same as the first to third embodiments except for the following points.

  FIG. 19 is a block diagram illustrating a configuration example of the display output unit 140 according to the fourth embodiment. In the present embodiment, the display output unit 140 further includes an input reception unit 144.

  In the present embodiment, the clinical path is associated with classification information indicating the classification to which the clinical path belongs. Specifically, as shown in FIG. 20, the clinical path and the classification information are associated with each other. FIG. 20 is a diagram illustrating an example of information stored in the path information storage unit according to the fourth embodiment. In the example of FIG. 20, “category” that uniquely identifies a plurality of medical departments and “classification” that is information such as a disease name and a technique to which a clinical path is applied correspond to classification information.

  The input reception unit 144 receives input of classification information. Here, an example of the output contents of the display output unit 140 in the fourth embodiment is shown in FIG. The input reception unit 144 is, for example, a search tool as shown in an area surrounded by a dotted line in FIG. 21, and acquires text input here as classification information. In the example of FIG. 21, the input reception unit 144 acquires information such as “classification = diabetes” as the classification information.

  As illustrated in FIG. 21, the display output unit 140 outputs a clinical path corresponding to the classification information input to the input reception unit 144. In the example of FIG. 21, the display output unit 140 uses the classification information “classification = diabetes” acquired by the input reception unit 144 to use “XX pass”, “XX pass”, and “□□ pass”. Is identified from the path information storage unit shown in FIG. Then, as shown in FIG. 21, the display output unit 140 outputs information related to the clinical path corresponding to the classification information input to the input reception unit 144.

A processing flow of the information processing apparatus 10 according to the present embodiment will be described with reference to FIG.
FIG. 22 is a flowchart illustrating a flow in which the information processing apparatus 10 according to the fourth embodiment outputs an index value for each clinical path.

  The information processing apparatus 10 acquires the classification information input to the input receiving unit 144 as illustrated in FIG. 21 (S602). Then, the information processing apparatus 10 compares the classification information acquired in S602 with the classification information stored in the path information storage unit, identifies the clinical path corresponding to the classification information acquired in S602, and relates to the clinical information Information about the path is acquired (S604). Then, the information processing apparatus 10 outputs information on the clinical path acquired in S604 (S606).

  As described above, according to the present embodiment, the classification information is acquired by the input receiving unit 144. And the clinical path corresponding to the said classification information is specified by the acquired classification information. Then, information regarding the identified clinical path is acquired. Then, information on the acquired clinical path is output.

  As described above, according to the present embodiment, it is possible to output a clinical path by narrowing down to a classification desired by the user, and usability is improved.

  As mentioned above, although embodiment of this invention was described with reference to drawings, these are the illustrations of this invention, Various structures other than the above are also employable.

  For example, the index value calculation unit 130 confirms the date and time when each path for each medical treatment was applied, and based on the number of specific operations linked to the path for each medical period for a certain period, such as from the current time to one year ago, An index value for each clinical path may be calculated. By doing in this way, the user can grasp the recent usage tendency of each clinical path.

  In the first embodiment and the like, the index value calculation unit 130 calculates the index value by the addition method, and an example has been described in which the smaller the index value, the higher the clinical path is shown. The value calculation unit 130 may calculate the index value by a deduction method from a fixed score. In this case, the larger the index value is, the higher the clinical path is.

  In the plurality of flowcharts used in the above description, a plurality of steps (processes) are described in order, but the execution order of the steps executed in each embodiment is not limited to the described order. In each embodiment, the order of the illustrated steps can be changed within a range that does not hinder the contents. Moreover, each above-mentioned embodiment can be combined in the range in which the content does not conflict.

Hereinafter, examples of the reference form will be added.
1. An operation history acquisition means for acquiring a user's operation history when the medical plan included in the medical treatment path generated for the actual medical treatment by applying the clinical path is corrected according to the actual medical treatment;
Specific operation extraction means for extracting a specific operation used for evaluation of the clinical path from the acquired operation history;
Index value calculating means for calculating an index value for each clinical path based on the number of the extracted specific operations;
Display output means for outputting the index value for each clinical path;
An information processing apparatus.
2. The index value calculating means calculates the index value using a weight determined for each specific operation;
1. The information processing apparatus described in 1.
3. The specific operation is a positive variance that increases the effectiveness of the clinical path and a variance that reduces the effectiveness of the clinical path with respect to the variance that is a difference between the clinical path and the clinical path. Specific operation determining means for determining which of the variances of
The index value calculating means includes the index value based on the number of the specific operations determined to be the positive variance and the index value based on the number of the specific operations determined to be the negative variance. Calculate for each clinical path,
The display output means differentiates the index value based on the number of the specific operations determined to be the positive variance and the index value based on the number of the specific operations determined to be the negative variance. Separate output,
1. Or 2. The information processing apparatus described in 1.
4). Further comprising application number acquisition means for acquiring the number of times that the medical treatment path is generated using the clinical path,
The display output means outputs the index value and the number of times in association with each clinical path,
1. To 3. The information processing apparatus according to any one of the above.
5. For each clinical path, the apparatus further includes an application number acquisition means for acquiring the number of times that the clinical path is generated by applying the clinical path,
The display output means outputs the index value and the number of times in association with each clinical path,
1. To 4. The information processing apparatus according to any one of the above.
6). The specific operation extracting means is an operation for changing a unit that is included in the path for medical care and is configured by one or more medical practices, an operation for changing a length of a period preset in the path for medical care,
Extracting at least one operation among the operation for changing an instruction set in advance in the medical treatment path and the operation for stopping the medical treatment path in the middle of the medical treatment as the specific operation;
1. To 5. The information processing apparatus according to any one of the above.
7). The clinical path is associated with classification information indicating a classification to which the clinical path belongs,
An input receiving means for receiving the classification information;
The display output means outputs the clinical path corresponding to the classification indicated by the classification information.
1. To 6. The information processing apparatus according to any one of the above.
8). Computer
Acquire the operation history of the user when the clinical plan included in the clinical path generated for the actual medical treatment by applying the clinical path is corrected according to the actual medical treatment,
Extracting a specific operation used for the evaluation of the clinical path from the acquired operation history,
Based on the number of the extracted specific operations, an index value for each clinical path is calculated,
Outputting the index value for each clinical path;
Information processing method including the above.
9. The computer calculates the index value using a weight determined for each specific operation;
Including Information processing method described in 1.
10. The computer reduces the effectiveness of the clinical path and the positive variance, which is a variance that increases the effectiveness of the clinical path, with respect to the variance in which the specific operation is a difference between the clinical path and the clinical path. Determine which of the negative variances is a variance,
The index value based on the number of the specific operations determined to be the positive variance and the index value based on the number of the specific operations determined to be the negative variance are calculated for each clinical path. ,
The index value based on the number of the specific operations determined to be the positive variance and the index value based on the number of the specific operations determined to be the negative variance are output separately.
Including Or 9. Information processing method described in 1.
11. The computer obtains the number of times that the clinical path is generated using the clinical path,
The index value and the number of times are output in association with each clinical path,
Including To 10. The information processing method as described in any one of these.
12 For each clinical path, the computer applies the clinical path to obtain the number of times the medical-specific path is generated,
The index value and the number of times are output in association with each clinical path,
Including To 11. The information processing method as described in any one of these.
13. An operation in which the computer changes a unit that is included in the path for each medical treatment and includes one or more medical treatments, an operation for changing a length of a period set in advance in the path for each medical service,
Extracting at least one operation among the operation for changing an instruction set in advance in the medical treatment path and the operation for stopping the medical treatment path in the middle of the medical treatment as the specific operation;
Including To 12. The information processing method as described in any one of these.
14 The clinical path is associated with classification information indicating a classification to which the clinical path belongs,
The computer accepts input of the classification information;
Outputting the clinical path corresponding to the classification indicated by the classification information;
Including Thru 13. The information processing method as described in any one of these.
15. Computer
An operation history acquisition means for acquiring a user operation history when a medical plan included in a medical treatment path generated for actual medical treatment by applying a clinical path is corrected according to the actual medical treatment,
Specific operation extraction means for extracting a specific operation used for evaluation of the clinical path from the acquired operation history;
Index value calculating means for calculating an index value for each clinical path based on the number of the extracted specific operations;
Display output means for outputting the index value for each clinical path;
Program to function as.
16. The index value calculating means calculates the index value using a weight determined for each specific operation;
15. The program described in.
17. The computer reduces the effectiveness of the clinical path with a positive variance that increases the effectiveness of the clinical path with respect to the variance in which the specific operation is the difference between the clinical path and the clinical path. It further functions as a specific operation determination unit that determines which of the negative variances that is a variance,
The index value calculating means includes the index value based on the number of the specific operations determined to be the positive variance and the index value based on the number of the specific operations determined to be the negative variance. Calculate for each clinical path,
The display output means differentiates the index value based on the number of the specific operations determined to be the positive variance and the index value based on the number of the specific operations determined to be the negative variance. Separate output,
15. Or 16. The program described in.
18. The computer may be further applied as an application number acquisition means for acquiring the number of times that the clinical path is generated using the clinical path,
The display output means outputs the index value and the number of times in association with each clinical path,
15. To 17. The program as described in any one of these.
19. For each clinical path, the computer is further caused to function as an application number acquisition unit that acquires the number of times that the clinical path is generated by applying the clinical path,
The display output means outputs the index value and the number of times in association with each clinical path,
15. To 18. The program as described in any one of these.
20. The specific operation extracting means is an operation for changing a unit that is included in the path for medical care and is configured by one or more medical practices, an operation for changing a length of a period preset in the path for medical care,
Extracting at least one operation among the operation for changing an instruction set in advance in the medical treatment path and the operation for stopping the medical treatment path in the middle of the medical treatment as the specific operation;
15. Thru 19. The program as described in any one of these.
21. The clinical path is associated with classification information indicating a classification to which the clinical path belongs,
Causing the computer to further function as an input receiving means for receiving input of the classification information;
The display output means outputs the clinical path corresponding to the classification indicated by the classification information.
15. To 20. The program as described in any one of these.

DESCRIPTION OF SYMBOLS 10 Information processing apparatus 110 Operation history acquisition part 120 Specific operation extraction part 122 Specific operation determination part 130 Index value calculation part 140 Display output part 142 Application frequency acquisition part 144 Input reception part 150 Path information storage part 20 Client terminal 30 Storage part

Claims (9)

An operation history acquisition means for acquiring a user's operation history when the medical plan included in the medical treatment path generated for the actual medical treatment by applying the clinical path is corrected according to the actual medical treatment;
Specific operation extraction means for extracting a specific operation used for evaluation of the clinical path from the acquired operation history;
Index value calculating means for calculating an index value for each clinical path based on the number of the extracted specific operations;
Display output means for outputting the index value for each clinical path;
An information processing apparatus. The index value calculating means calculates the index value using a weight determined for each specific operation;
The information processing apparatus according to claim 1. The specific operation is a positive variance that increases the effectiveness of the clinical path and a variance that reduces the effectiveness of the clinical path with respect to the variance that is a difference between the clinical path and the clinical path. Specific operation determining means for determining which of the variances of
The index value calculating means includes the index value based on the number of the specific operations determined to be the positive variance and the index value based on the number of the specific operations determined to be the negative variance. Calculate for each clinical path,
The display output means differentiates the index value based on the number of the specific operations determined to be the positive variance and the index value based on the number of the specific operations determined to be the negative variance. Separate output,
The information processing apparatus according to claim 1 or 2. Further comprising application number acquisition means for acquiring the number of times that the medical treatment path is generated using the clinical path,
The display output means outputs the index value and the number of times in association with each clinical path,
The information processing apparatus according to any one of claims 1 to 3. For each clinical path, the apparatus further includes an application number acquisition unit that acquires the number of times that the clinical path is generated by applying the clinical path.
The display output means outputs the index value and the number of times in association with each clinical path,
The information processing apparatus according to any one of claims 1 to 4. The specific operation extracting means is an operation for changing a unit that is included in the path for medical care and is configured by one or more medical practices, an operation for changing a length of a period preset in the path for medical care,
Extracting at least one operation among the operation for changing an instruction set in advance in the medical treatment path and the operation for stopping the medical treatment path in the middle of the medical treatment as the specific operation;
The information processing apparatus according to any one of claims 1 to 5. The clinical path is associated with classification information indicating a classification to which the clinical path belongs,
An input receiving means for receiving the classification information;
The display output means outputs the clinical path corresponding to the classification indicated by the classification information.
The information processing apparatus according to claim 1. Computer
Acquire the operation history of the user when the clinical plan included in the clinical path generated for the actual medical treatment by applying the clinical path is corrected according to the actual medical treatment,
Extracting a specific operation used for the evaluation of the clinical path from the acquired operation history,
Based on the number of the extracted specific operations, an index value for each clinical path is calculated,
Outputting the index value for each clinical path;
Information processing method including the above. Computer
An operation history acquisition means for acquiring a user operation history when a medical plan included in a medical treatment path generated for actual medical treatment by applying a clinical path is corrected according to the actual medical treatment,
Specific operation extraction means for extracting a specific operation used for evaluation of the clinical path from the acquired operation history;
Index value calculating means for calculating an index value for each clinical path based on the number of the extracted specific operations;
Display output means for outputting the index value for each clinical path;
Program to function as.

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