Medical information management apparatus, data structure of medical information, and storage medium
A medical information management apparatus includes a hardware processor that manages first dynamic information obtained by performing dynamic radiographing on a first subject that does not have a disease and first attribute information of the first subject. The first dynamic information and the first attribution information is associated with each other.
1 . A medical information management apparatus comprising a hardware processor and a case database storing a plurality of case data, each of the case data including a dynamic image associated with attribute information of a subject of the dynamic image, the case data including a first dynamic image obtained by performing dynamic radiographing on a first subject that does not have a disease and first attribute information of the first subject, the first dynamic image and the first attribute information being managed in association with each other, and a third dynamic image obtained by performing dynamic radiographing on a third subject that has a disease and third attribute information of the third subject, the third dynamic image and the third attribute information being managed in association with each other,
wherein the hardware processor receives search conditions input by a user that defines at least one attribute condition of a second subject and a designation of a diagnosis target information,
the hardware processor extracts matching data from the case data that matches the at least one attribute condition,
the hardware processor determines a degree of normality and a degree of abnormality of a second dynamic image obtained by performing dynamic radiographing on the second subject based on the values of the diagnosis target information of the matching data,
the hardware processor creates a graph for the diagnosis target information that illustrates values of the diagnosis target information for each of the matching data and adds a position of a value of the diagnosis target information of the second dynamic image obtained by performing dynamic radiographing of the second subject, whereby the position corresponding to the second dynamic image can be compared with the matching data by the user.
2 . The medical information management apparatus according to claim 1 , wherein the first subject does not have the disease of a specific part.
3 . The medical information management apparatus according to claim 2 , wherein the specific part is at least one of parts relating to respiration, circulation, orthopedics, and swallowing.
4 . The medical information management apparatus according to claim 1 , wherein the first attribute information does not include information that specifies an individual and the hardware processor does not associate the information that specifies an individual with the first dynamic image.
5 . The medical information management apparatus according to claim 1 , wherein the third attribute information does not include information that specifies an individual and the hardware processor does not associate the information that specifies an individual with the first dynamic image.
6 . The medical information management apparatus according to claim 1 , wherein the hardware processor determines the degree of normality and the degree of abnormality of the second dynamic image obtained by performing dynamic radiographing on a second subject based on the dynamic image of the case data of the matching data.
7 . The medical information management apparatus according to claim 6 , wherein the hardware processor determines the degree of normality and the degree of abnormality of the second dynamic image based on the dynamic image and the attribute information of the case data of the matching data.
8 . The medical information management apparatus according to claim 1 , wherein the hardware processor determines the degree of normality and the degree of abnormality of the second dynamic image is normal or abnormal, based on machine learning.
9 . A non-transitory computer-readable storage medium storing a data structure of medical information including a plurality of case data, each of the case data including dynamic image data associated with attribute information of a subject of the dynamic image data, the data structure comprising:
first dynamic image data obtained by performing dynamic radiographing on a first subject that does not have a disease and first attribute information data of the first subject associated with the first dynamic image data, and third dynamic image data obtained by performing dynamic radiographing on a third subject that has a disease and third attribute information of the third subject associated with the third dynamic image data,
the non-transitory computer-readable storage medium storing a medical information management program causing a computer to receive search conditions input by a user that defines at least one attribute condition of a second subject and a designation of a diagnosis target information,
extract matching data from the case data that matches the at least one attribute condition,
determine a degree of normality and a degree of abnormality of a second dynamic image obtained by performing dynamic radiographing on a second subject based on the values of the diagnosis target information of the matching data,
create a graph for the diagnosis target information that illustrates values of the diagnosis target information for each of the matching data and adds a position of a value of the diagnosis target information of the second dynamic image obtained by performing dynamic radiographing of the second subject, whereby the position corresponding to the second dynamic image can be compared with the matching data by the user.
10 . A non-transitory computer-readable storage medium storing a medical information management program causing a computer to:
perform a management process of managing a case database storing a plurality of case data, each of the case data including a dynamic image associated with attribute information of a subject of the dynamic image, the case data including a first dynamic image obtained by performing dynamic radiographing on a first subject that does not have a disease and first attribute information of the first subject, the first dynamic image and the first attribution information being managed in association with each other, and a third dynamic image obtained by performing dynamic radiographing on a third subject that has a disease and third attribute information of the third subject, the third dynamic image and the third attribute information being managed in association with each other,
receive search conditions input by a user that defines at least one attribute condition of a second subject and a designation of a diagnosis target information,
extract matching data from the case data that matches the at least one attribute condition,
determine a degree of normality and a degree of abnormality of a second dynamic image obtained by performing dynamic radiographing on a second subject based on the values of the diagnosis target information of the matching data, and
create a graph for the diagnosis target information that illustrates values of the diagnosis target information for each of the matching data and adds a position of a value of the diagnosis target information of the second dynamic image obtained by performing dynamic radiographing of the second subject, whereby the position corresponding to the second dynamic image can be compared with the matching data by the user.
11 . The non-transitory computer-readable storage medium according to claim 10 , wherein the first subject does not have the disease of a specific part.
12 . The non-transitory computer-readable storage medium according to claim 11 , wherein the specific part is at least one of parts related to respiration, circulation, orthopedics, and swallowing.
13 . The non-transitory computer-readable storage medium according to claim 10 , wherein the first attribute information does not include information that specifies an individual and the management process does not associate the information that specifies an individual with the first dynamic image.
14 . The non-transitory computer-readable storage medium according to claim 10 , wherein the third attribute information does not include information that specifies an individual and the management process does not associate the information that specifies an individual with the first dynamic image.
15 . The non-transitory computer-readable storage medium according to claim 10 , wherein the program causes the computer to perform a determination process of determining the degree of normality and the degree of abnormality of the second dynamic image based on the dynamic image of the case data of the matching data.
16 . The non-transitory computer-readable storage medium according to claim 15 , wherein, in the determination process, the computer determines the degree of normality and the degree of abnormality of the second dynamic image based on the dynamic image and the attribute information of the case data of the matching data.
17 . The non-transitory computer-readable storage medium according to claim 10 , wherein, in the determination process, the computer determines the degree of normality and the degree of abnormality of the second dynamic image based on machine learning.
18 . The medical information management apparatus according to claim 1 , wherein the hardware processor outputs the matching data extracted by the search to the display.
19 . The medical information management apparatus according to claim 18 , wherein the obtained input information further includes information regarding normality or abnormality.
20 . The non-transitory computer-readable storage medium according to claim 10 , wherein the medical information management program causes the computer to output the matching data extracted by the search to the display.
21 . The non-transitory computer-readable storage medium according to claim 20 , wherein the obtained input information further includes information regarding normality or abnormality.
22 . The medical information management apparatus according to claim 1 , wherein the degree of normality and the degree of abnormality are probabilities.
23 . The medical information management apparatus according to claim 1 , wherein
the degree of normality is based on a ratio of the number of normal case data of the matching data to the total number of case data of the matching data, and
the degree of abnormality is based on a ratio of the number of abnormal case data of the matching data to the total number of case data of the matching data.
24 . The medical information management apparatus according to claim 1 , wherein the graph is a histogram of the diagnosis target information of the matching data and the position of the diagnosis target information of the second dynamic image is shown on the histogram.
25 . The medical information management apparatus according to claim 1 , wherein the attribute information of the each of the case data does not include information that specifies an individual and the hardware processor does not associate the information that specifies an individual with the dynamic image of the each of the case data.