Techniques for administering a care plan for a patient. A monitoring device is selected, at a care plan management system based on a care plan, to use in administering the care plan. The care plan specifies biometric data to monitor for a patient. The monitoring device is configured to collect the biometric data, based on the care plan. The biometric data collected using the monitoring device is received at the care plan management system. The biometric data includes a first event initially classified as a first type of event using the monitoring device. The first event is selected for reclassification, based on the initial classification, and in response the first event is reclassified as a second type of event using the care plan management system. The patient is treated based on the care plan and the reclassified first event.

Methods, systems, and computer-readable media are provided for identifying, stratifying, and prioritizing patients who are eligible for care management services. For each patient, patient health data is used to determine one or more of a disease burden associated with the patient, an amount of health system utilization by the patient, and an amount of money spent on healthcare services for the patient. It is further determined if the patient exceeds a respective threshold value associated with each of these criteria. If the patient exceeds the respective threshold value, the patient is stratified into a category comprising one of high-risk senior, high-risk adult, high-risk pediatrics, or high-risk maternity. The patient may also be prioritized based on one or more factors, and a notification may be sent to the patient informing the patient of his/her eligibility for care management services.

Methods, systems, and computer-readable media are provided for identifying, stratifying, and prioritizing patients who are eligible for care management services. For each patient, patient health data is used to determine one or more of a disease burden associated with the patient, an amount of health system utilization by the patient, and an amount of money spent on healthcare services for the patient. It is further determined if the patient exceeds a respective threshold value associated with each of these criteria. If the patient exceeds the respective threshold value, the patient is stratified into a category comprising one of high-risk senior, high-risk adult, high-risk pediatrics, or high-risk maternity. The patient may also be prioritized based on one or more factors, and a notification may be sent to the patient informing the patient of his/her eligibility for care management services.

A method for providing an online digital medical & health-related services platform based on personal experience for pregnant and postnatal women and families, for personally customizing different services depending on the pregnancy stage or the infant age, their needs, preferences, interests, living environment/conditions, lifestyle, health status, etc. According to an embodiment of the invention, the proposed platform offers expedited enrollment/registration to relevant services, such as a medical newborn insurance policy. The proposed platform provides a short enrollment, approval, and activation of the insurance policy in an expedited enrollment process.

A method for providing an online digital medical & health-related services platform based on personal experience for pregnant and postnatal women and families, for personally customizing different services depending on the pregnancy stage or the infant age, their needs, preferences, interests, living environment/conditions, lifestyle, health status, etc. According to an embodiment of the invention, the proposed platform offers expedited enrollment/registration to relevant services, such as a medical newborn insurance policy. The proposed platform provides a short enrollment, approval, and activation of the insurance policy in an expedited enrollment process.

This information processing method specifies a disease that a user is likely to suffer from, based on gene analysis data of a user; analyzes behavior history data of the user and operation history data of an apparatus; generates first lifestyle pattern data indicating a lifestyle pattern of the user up to present; executes a simulation for causing a digital twin of the user and a digital twin of the apparatus to operate in cyberspace based on the first lifestyle pattern data, standard lifestyle pattern data, and the operation history data; generates second lifestyle pattern data in which a future lifestyle pattern of the user is predicted, from an execution result of the simulation; and calculates a future illness risk of the user for the specified disease based on the second lifestyle pattern data.

This information processing method specifies a disease that a user is likely to suffer from, based on gene analysis data of a user; analyzes behavior history data of the user and operation history data of an apparatus; generates first lifestyle pattern data indicating a lifestyle pattern of the user up to present; executes a simulation for causing a digital twin of the user and a digital twin of the apparatus to operate in cyberspace based on the first lifestyle pattern data, standard lifestyle pattern data, and the operation history data; generates second lifestyle pattern data in which a future lifestyle pattern of the user is predicted, from an execution result of the simulation; and calculates a future illness risk of the user for the specified disease based on the second lifestyle pattern data.

A wearable treatment and analysis module is provided. The module is positioned on or near a body surface region of interest. The module provides remote access to sensor data, treatment administration, and/or other health care regimens via a network connection with a user device and/or management system.

A portable medical triage kit and interactive application that leads a user through a medically acceptable triage protocol for treating medical emergencies. The interactive application leads the user to treat major life threats of all nearby victims before treating minor threats of anyone.

Systems, methods, and computer-readable media are provided for predicting patient qualification for application of coordinated healthcare resources. In aspects, an indication of a patient encounter associated with a target patient is received. Feature values may be extracted from an electronic health record of the target patient stored in an electronic health record system. The extracted feature values may be input into a trained machine learning model to programatically determine whether the target patient qualifies for application of coordinated healthcare resources. Based on a determination that the patient qualifies for application of coordinated healthcare resources, a care protocol, which may include a coordinated allocated of resources, associated with application of coordinated healthcare resources may be initiated.