MEDICAL INFORMATION PROCESSING DEVICE, MEDICAL INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM

1 . A medical information processing device comprising processing circuitry configured to:

acquire biometric information on a patient;

detect a trend change in the biometric information at a predetermined timing on a basis of time-series data regarding the biometric information; and

determine whether the trend change is due to a measurement error in the biometric information or due to a change in a condition of the patient.

2 . The medical information processing device according to claim 1 , wherein the processing circuitry is further configured to:

identify a similar patient on a basis of attribute information of the patient; and

determine the trend change as the change in the condition on a basis of biometric information on the similar patient and the biometric information of the patient at the predetermined timing.

3 . The medical information processing device according to claim 1 , wherein the processing circuitry is further configured to:

acquire a plurality of types of biometric information;

exclude any one of the acquired plurality of types of biometric information; and

detect a trend change in the biometric information at a predetermined timing.

4 . The medical information processing device according to claim 1 , wherein the processing circuitry is further configured to:

calculate a first trend score on a basis of the biometric information of the patient at the predetermined timing and biometric information of a similar patient in a healthy state;

calculate a second trend score on a basis of the biometric information of the patient at the predetermined timing and biometric information of the similar patient in a diseased state; and

determine the trend change as the change in the condition on a basis of the first trend score and the second trend score.

5 . The medical information processing device according to claim 4 , wherein the processing circuitry is further configured to:

calculate the first trend score on a basis of results of principal component analysis performed on the biometric information of the patient at the predetermined timing and the biometric information of the similar patient in the healthy state; and

calculate the second trend score on a basis of results of principal component analysis performed on the biometric information of the patient at the predetermined timing and the biometric information of the similar patient in the diseased state.

6 . The medical information processing device according to claim 4 , wherein the processing circuitry is further configured to:

calculate the first trend score on a basis of an estimated likelihood of the biometric information of the patient at the predetermined timing and an estimated likelihood of the biometric information on the similar patient in the healthy state; and

calculate the second trend score on a basis of the estimated likelihood of the biometric information of the patient at the predetermined timing and an estimated likelihood of the biometric information on the similar patient in the diseased state.

7 . The medical information processing device according to claim 1 , wherein

the processing circuitry is further configured to extract data in which the measurement error has occurred from the biometric information of the patient, and

the medical information processing device further comprises an output interface configured to present information on the extracted data.

8 . A medical information processing method, using a medical information processing device, comprising

acquiring biometric information on a patient;

detecting a trend change in the biometric information at a predetermined timing on a basis of time-series data regarding the biometric information; and

determining whether the trend change is due to a measurement error in the biometric information or due to a change in a condition of the patient.

9 . A computer-readable non-transitory storage medium storing a program causing a computer to:

acquire biometric information on a patient;

detect a trend change in the biometric information at a predetermined timing on a basis of time-series data regarding the biometric information; and

determine whether the trend change is due to a measurement error in the biometric information or due to a change in a condition of the patient.