FIELD OF THE DISCLOSURE

The present disclosure generally relates to a support system, a support method, and a support program.

BACKGROUND DISCUSSION

Treatment results of a treatment in a body lumen such as a blood vessel have been improved every year according to an increase in device types and development of operation and treatment policies. In recent years, an operation support system or the like capable of performing an operation on a patient by a remote operation at a place away from an operating room has been developed (for example, see Japanese Patent Application Publication No. 2004-181229).

In general, the treatment results of the operation can depend greatly on the experience of a surgeon. In particular, in a case of the operation with a relatively high degree of difficulty, the determination of how to proceed with the operation depends on decisions of the surgeon in many cases. In addition, for the operation with a relatively high degree of difficulty, it may be necessary to appropriately review (and change if necessary) an operation policy (treatment policy) during the operation depending on a condition of a target lesion and a progress state of the device. Therefore, it is very important to secure objectivity and validity of the decision made by the surgeon during the operation.

SUMMARY

A support system, a support method, and a support program for supporting a medical action during an operation are disclosed.

A support system is disclosed for supporting a medical action during an operation including a data acquisition unit configured to acquire, during an operation, use state data on a use state of a medical device during the operation, and target lesion data on a target lesion of a patient during the operation, a learning unit configured to perform machine learning using the use state data and the target lesion data, and a presentation unit configured to present a recommended operation policy based on a result of the machine learning.

A support method is disclosed for supporting a medical action during an operation including acquiring, during the operation, use state data on a use state of a medical device during the operation, and target lesion data on a target lesion of a patient during the operation, performing machine learning using the use state data and the target lesion data, and presenting a recommended operation policy based on a result of the machine learning.

A non-transitory computer readable medium (CRM) storing computer program code executed by a computer processor that executes a process of supporting a medical action during an operation is disclosed, the process comprising: acquiring, during the operation, use state data on a use state of a medical device during the operation, and target lesion data on a target lesion of a patient during the operation; performing machine learning using the use state data and the target lesion data; and presenting a recommended operation policy based on a result of the machine learning.

The present disclosure presents the recommended operation policy based on the result of the machine learning. Since a doctor can receive the presentation of the operation policy in real time during the operation, it is possible to adopt an objective and valid operation policy that does not depend only on the doctor's own decision.

