Medical treatment support apparatus

A medical treatment support apparatus comprising:

• an interface circuit connectable to an extracorporeal blood circulation device connected to a patient;
• a memory that stores a program;
• and
• a processor configured to execute the program to:
• acquire administration information regarding administration of a medicine to the patient,
• acquire device operation information including one or more values related to an operation of the extracorporeal blood circulation device,
• execute a call to a machine learning model with the administration information and the device operation information to determine a test value that is expected from a blood test performed on the patient at a predetermined time after the medicine is administered, the machine learning model having been trained with:
• a plurality of pieces of administration information regarding administration of the medicine to different patients,
• a plurality of pieces of device operation information used by the extracorporeal blood circulation device for treating the different patients, and
• test values obtained before and after administration of the medicine to the different patients,
• determine a value related to the operation and to be used for treating the patient based on the determined test value, and
• control the extracorporeal blood circulation device according to the determined value.

A medical treatment support apparatus comprising:

• a display device;
• an interface circuit connectable to an extracorporeal blood circulation device;
• a memory that stores a program;
• and
• a processor configured to execute the program to:
• acquire a plurality of pieces of administration information each related to administration of a medicine to a patient,
• acquire a plurality of pieces of device operation information each including a value related to an operation of the extracorporeal blood circulation device,
• determine a plurality of combinations of the pieces of administration information and the pieces of device operation information,
• execute one or more calls to a machine learning model with each of the determined combinations to determine a plurality of test values that are expected from a blood test performed on the patient at a predetermined time after the medicine of the corresponding dose is administered, the machine learning model having been trained with:
• a plurality of pieces of administration information regarding administration of the medicine to different patients,
• a plurality of pieces of device operation information used by the extracorporeal blood circulation device for treating the different patients, and
• test values obtained before and after administration of the medicine to the different patients,
• generate a screen showing at least one of:
• a graph showing either a relationship between the pieces of administration information and the determined test values or a relationship between the pieces of device operation information and the determined test values, and
• a table of the pieces of administration information and the determined test values or the pieces of device operation information and the determined test values, and
• control the display device to display the generated screen.