Method and system for managing pressure ulcers and computing device for executing the same

A system for managing pressure ulcers, the system comprising:

• a medical personnel terminal configured to transmit pressure ulcer risk factor information of a patient admitted to a hospital;
• and
• a management server configured to receive the pressure ulcer risk factor information of the patient, acquire a pressure ulcer risk level of the patient by inputting the pressure ulcer risk factor information into a pre-trained deep learning model, and automatically schedule a pressure ulcer prevention activity for the patient when the pressure ulcer risk level is equal to or higher than a predetermined threshold level, wherein the pressure ulcer risk factor information of the patient includes sensory awareness, degree of wetness, degree of activity, degree of mobility, nutritional status level, degree of friction and shearing force of the patient,
• wherein the management server is further configured to:
• based on a type of the pressure ulcer prevention activity for the patient, transmit content related to pressure ulcer prevention education to a patient-related terminal of the patient or transmit a pressure ulcer prevention activity notification to the medical personnel terminal in charge of the patient, and
• calculate a pressure ulcer prevention index of the patient based on at least one of feedback on the pressure ulcer prevention activity received from the patient-related terminal and feedback on the pressure ulcer prevention activity received from the medical personnel terminal.

A method for managing pressure ulcers performed in a computing device including one or more processors and a memory storing one or more programs executed by the one or more processors, the method performed by the one or more processors and comprising:

• acquiring pressure ulcer risk factor information of a patient admitted to a hospital;
• acquiring a pressure ulcer risk level of the patient by inputting the acquired pressure ulcer risk factor information into a pre-trained deep learning model, wherein the pressure ulcer risk factor information of the patient includes sensory awareness, degree of wetness, degree of activity, degree of mobility, nutritional status level, degree of friction and shearing force of the patient;
• and
• automatically scheduling a pressure ulcer prevention activity for the patient when the pressure ulcer risk level is equal to or higher than a predetermined threshold level,
• wherein the method further comprises:
• based on a type of the pressure ulcer prevention activity for the patient, transmitting content related to pressure ulcer prevention education to a patient-related terminal of the patient or transmitting a pressure ulcer prevention activity notification to a medical personnel terminal in charge of the patient, and
• calculating a pressure ulcer prevention index of the patient based on at least one of feedback on the pressure ulcer prevention activity received from the patient-related terminal and feedback on the pressure ulcer prevention activity received from the medical personnel terminal.

A non-transitory computer readable storage medium storing a computer program, wherein

• the computer program includes one or more instructions that, when executed by a computing device including one or more processors, cause the computing device to:
• acquire pressure ulcer risk factor information of a patient admitted to a hospital;
• acquire a pressure ulcer risk level of the patient by inputting the acquired pressure ulcer risk factor information into a pre-trained deep learning model, wherein the pressure ulcer risk factor information of the patient includes sensory awareness, degree of wetness, degree of activity, degree of mobility, nutritional status level, degree of friction and shearing force of the patient;
• and
• automatically schedule a pressure ulcer prevention activity for the patient when the pressure ulcer risk level is equal to or higher than a predetermined threshold level,
• wherein the one or more instructions, when executed by the computing device including the one or more processors, cause the computing device to:
• based on a type of the pressure ulcer prevention activity for the patient, transmit content related to pressure ulcer prevention education to a patient-related terminal of the patient or transmit a pressure ulcer prevention activity notification to a medical personnel terminal in charge of the patient, and
• calculate a pressure ulcer prevention index of the patient based on at least one of feedback on the pressure ulcer prevention activity received from the patient-related terminal and feedback on the pressure ulcer prevention activity received from the medical personnel terminal.