Abstract: One variation of a method for detecting fraudulent transactions includes, in response to receiving a first transaction request for a first transaction initiated at a first merchant, the first transaction request specifying a payment identifier and a first transaction value, accessing a user profile associated with a user based on the payment identifier. The method further includes, in response to the first transaction value exceeding a threshold transaction value stored at the user profile: transmitting a verification request to the user to confirm the first transaction; and, in response to receiving confirmation of the first transaction from the user, approving the first transaction request. The method further includes, in response to receiving a second transaction request for a second transaction initiated at a second merchant, the second transaction request specifying the payment identifier and a second transaction value less than the threshold transaction value, approving the second transaction request.

Abstract: The present patent application relates detecting adverse medication interactions using a wearable device. In some embodiments, fall event data of a patient is obtained, the fall event data including a set of fall events experienced by the patient during a first time period. Medication data associated with the patient is also capable of being obtained. The medication data indicates a set of medications taken or prescribed to be taken by the patient during the first time period. Training data is configured to be generated for a prediction model based on the fall event data and the medication data, and the training data is capable of being provided to the prediction model. The prediction model is configured to estimate, based on the training data, a dependency between one or more medications and a risk of experiencing a fall event.

Abstract: One variation of a method for detecting fraudulent transactions includes, in response to receiving a first transaction request for a first transaction initiated at a first merchant, the first transaction request specifying a payment identifier and a first transaction value, accessing a user profile associated with a user based on the payment identifier. The method further includes, in response to the first transaction value exceeding a threshold transaction value stored at the user profile: transmitting a verification request to the user to confirm the first transaction; and, in response to receiving confirmation of the first transaction from the user, approving the first transaction request. The method further includes, in response to receiving a second transaction request for a second transaction initiated at a second merchant, the second transaction request specifying the payment identifier and a second transaction value less than the threshold transaction value, approving the second transaction request.

Abstract: A variation of a method for tracking locations of residents within an assisted-care facility includes accessing pressure data recorded by wearable devices at known locations within the assisted-care facility; correlating the pressure data with known locations within the assisted-care facility to generate a map of pressure data at various locations within the assisted-care facility; accessing a first pressure value recorded by a first wearable device assigned to a first resident of the assisted-care facility at approximately the first time and representing a local pressure proximal the first wearable device at a first time; estimating a first location of the first wearable device within the assisted-care facility at approximately the first time based on alignment between the first pressure value and pressure data represented in the map; and recording the first location and a first resident identifier of the first resident assigned to the first wearable device to a database.

Abstract: A method for assessing health risk of a resident at a facility includes: tracking a first series of locations of a first wearable device associated with a resident of the facility; and tracking a first series of activities detected by the first wearable device; calculating a baseline action profile of the resident based on the first series of locations and the first series of activities; tracking a second series of locations of the first wearable device; tracking a second series of activities detected by the first wearable device; calculating a second action profile of the resident based on the second series of locations and the second series of activities; and in response to a deviation between the baseline action profile and the second action profile exceeding a deviation threshold, transmitting a prompt to a care provider associated with the facility to investigate a health status of the resident.

Abstract: One variation of a method for detecting breach events by residents of an assisted living facility includes: defining a first access perimeter within a facility; assigning the first access perimeter to a first resident, in a set of residents in the facility; tracking locations of resident wearable devices associated with residents, in the set of residents, within the facility; disabling a first subregion within the first access perimeter coincident a second location of a second resident, in the set of residents, flagged for separation from the first resident; and, in response to a first location of a first resident wearable device associated with the first resident falling outside of the first access perimeter, distributing a first breach event prompt to assist the first resident, proximal the first location, to care provider mobile devices associated with care providers affiliated with the facility.

Abstract: One variation of a method for detecting and responding to falls by residents within a facility includes: at a wearable device worn by a resident, writing sensor data from a sensor integrated into the wearable device to a buffer, inputting sensor data into a compressed fall detection model—defining a compressed form of a complete fall detection model and stored locally on the wearable device—to detect a fall event at a first time, and transmitting a corpus of sensor data from the buffer and a cue for confirmation of the fall event to a local wireless hub in response to detecting the fall event; and, remotely from the wearable device, inputting the corpus of sensor data into the complete fall detection model—stored remotely from the wearable device—to confirm the fall event and dispatching a care provider to assist the resident in response to confirming the fall event.

Abstract: One variation of a method for detecting and handling falls by residents of a facility includes: receiving a notification for a fall event from a first resident wearable device associated with a resident; determining a location of the resident within a facility at a time of the fall; in response to the notification, distributing a fall response prompt to a set of computing devices, each computing device associated with a care provider; and, in response to proximity of the first computing device to the first resident wearable device, authorizing edit permissions for an electronic incident report by a first care provider exclusive of a second care provider.

Abstract: One variation of a method for detecting breach events by residents of an assisted living facility includes: defining an access perimeter containing a first space and excluding a second space within a facility, the first space and the second space separated by a door; assigning the first individual access perimeter to a first resident, in a set of residents, occupying the facility; maintaining the door in an unlocked state by default during a first period of time; tracking locations of resident wearable devices associated with residents, in the set of residents, within the facility during the first period of time; and, in response to a first location of a first resident wearable device associated with the first resident falling inside the individual access perimeter and within a threshold distance of the door at a first time during the first period of time, triggering the door to enter a locked state.

Abstract: A method for assessing health risk of a resident at a facility includes: tracking a first series of locations of a first wearable device associated with a resident of the facility; and tracking a first series of activities detected by the first wearable device; calculating a baseline action profile of the resident based on the first series of locations and the first series of activities; tracking a second series of locations of the first wearable device; tracking a second series of activities detected by the first wearable device; calculating a second action profile of the resident based on the second series of locations and the second series of activities; and in response to a deviation between the baseline action profile and the second action profile exceeding a deviation threshold, transmitting a prompt to a care provider associated with the facility to investigate a health status of the resident.

Abstract: One variation of a method for detecting and responding to falls by residents within a facility includes: at a wearable device worn by a resident, writing sensor data from a sensor integrated into the wearable device to a buffer, inputting sensor data into a compressed fall detection model—defining a compressed form of a complete fall detection model and stored locally on the wearable device—to detect a fall event at a first time, and transmitting a corpus of sensor data from the buffer and a cue for confirmation of the fall event to a local wireless hub in response to detecting the fall event; and, remotely from the wearable device, inputting the corpus of sensor data into the complete fall detection model—stored remotely from the wearable device—to confirm the fall event and dispatching a care provider to assist the resident in response to confirming the fall event.

Abstract: One variation of a method for detecting and handling falls by residents of a facility includes: receiving a notification for a fall event from a first resident wearable device associated with a resident; determining a location of the resident within a facility at a time of the fall; in response to the notification, distributing a fall response prompt to a set of computing devices, each computing device associated with a care provider; and, in response to proximity of the first computing device to the first resident wearable device, authorizing edit permissions for an electronic incident report by a first care provider exclusive of a second care provider.

Abstract: One variation of a method for detecting breach events by residents of an assisted living facility includes: defining a first access perimeter within a facility; assigning the first access perimeter to a first resident, in a set of residents in the facility; tracking locations of resident wearable devices associated with residents, in the set of residents, within the facility; disabling a first subregion within the first access perimeter coincident a second location of a second resident, in the set of residents, flagged for separation from the first resident; and, in response to a first location of a first resident wearable device associated with the first resident falling outside of the first access perimeter, distributing a first breach event prompt to assist the first resident, proximal the first location, to care provider mobile devices associated with care providers affiliated with the facility.

Abstract: One variation of a method for detecting and responding to falls by residents within a facility includes: at a wearable device worn by a resident, writing sensor data from a sensor integrated into the wearable device to a buffer, inputting sensor data into a compressed fall detection model—defining a compressed form of a complete fall detection model and stored locally on the wearable device—to detect a fall event at a first time, and transmitting a corpus of sensor data from the buffer and a cue for confirmation of the fall event to a local wireless hub in response to detecting the fall event; and, remotely from the wearable device, inputting the corpus of sensor data into the complete fall detection model—stored remotely from the wearable device—to confirm the fall event and dispatching a care provider to assist the resident in response to confirming the fall event.

Abstract: One variation of a method for detecting and handling falls by residents of a facility includes: receiving a notification for a fall event from a resident wearable device associated with a resident; determining a location of the resident within a facility at a time of the fall; in response to the notification, distributing a fall response prompt to a set of computing devices, each computing device associated with a care provider; in response to receipt of a fall response confirmation from a first computing device, deescalating the fall response prompt at a second computing device; and, in response to proximity of the first computing device to the resident wearable device, authorizing edit permissions for an electronic incident report by a first care provider exclusive of a second care provider.

Abstract: A variation of a method for tracking locations of residents within an assisted-care facility includes accessing pressure data recorded by wearable devices at known locations within the assisted-care facility; correlating the pressure data with known locations within the assisted-care facility to generate a map of pressure data at various locations within the assisted-care facility; accessing a first pressure value recorded by a first wearable device assigned to a first resident of the assisted-care facility at approximately the first time and representing a local pressure proximal the first wearable device at a first time; estimating a first location of the first wearable device within the assisted-care facility at approximately the first time based on alignment between the first pressure value and pressure data represented in the map; and recording the first location and a first resident identifier of the first resident assigned to the first wearable device to a database.

Abstract: One variation of a method for detecting breach events by residents of an assisted living facility includes: defining an access perimeter containing a first space and excluding a second space within a facility, the first space and the second space separated by a door; assigning the first individual access perimeter to a first resident, in a set of residents, occupying the facility; maintaining the door in an unlocked state by default during a first period of time; tracking locations of resident wearable devices associated with residents, in the set of residents, within the facility during the first period of time; and, in response to a first location of a first resident wearable device associated with the first resident falling inside the individual access perimeter and within a threshold distance of the door at a first time during the first period of time, triggering the door to enter a locked state.

Abstract: One variation of a method for detecting and handling falls by residents of a facility includes: receiving a notification for a fall event from a resident wearable device associated with a resident; determining a location of the resident within a facility at a time of the fall; in response to the notification, distributing a fall response prompt to a set of computing devices, each computing device associated with a care provider; in response to receipt of a fall response confirmation from a first computing device, deescalating the fall response prompt at a second computing device; and, in response to proximity of the first computing device to the resident wearable device, authorizing edit permissions for an electronic incident report by a first care provider exclusive of a second care provider.

Abstract: One variation of a method for detecting and handling falls by residents of a facility includes: receiving a notification for a fall event from a resident wearable device associated with a resident; determining a location of the resident within a facility at a time of the fall; in response to the notification, distributing a fall response prompt to a set of computing devices, each computing device associated with a care provider; in response to receipt of a fall response confirmation from a first computing device, deescalating the fall response prompt at a second computing device; and, in response to proximity of the first computing device to the resident wearable device, authorizing edit permissions for an electronic incident report by a first care provider exclusive of a second care provider.

Abstract: One variation of a method for detecting and responding to falls by residents within a facility includes: at a wearable device worn by a resident, writing sensor data from a sensor integrated into the wearable device to a buffer, inputting sensor data into a compressed fall detection model—defining a compressed form of a complete fall detection model and stored locally on the wearable device—to detect a fall event at a first time, and transmitting a corpus of sensor data from the buffer and a cue for confirmation of the fall event to a local wireless hub in response to detecting the fall event; and, remotely from the wearable device, inputting the corpus of sensor data into the complete fall detection model—stored remotely from the wearable device—to confirm the fall event and dispatching a care provider to assist the resident in response to confirming the fall event.