Abstract: Meal and activity logging with a glucose monitoring interface is described. A glucose monitoring application is configured to display a user interface that includes a glucose graph that plots glucose measurements of a user over time. The glucose measurements, for example, may be obtained from a glucose monitoring device that collects glucose measurements of the user at predetermined intervals, e.g., every five minutes. Unlike conventional event logging approaches, the glucose monitoring application displays representations of logged events in the user interface along with the glucose graph. The logged events, for example, may include meals consumed by the user, and/or various activities performed by the user, such as exercise, meditation, sleep, and so forth. Notably, the glucose monitoring application controls the display of the event representations to be presented at positions on the glucose graph that correspond to times associated with the respective events.

Abstract: A computing system (204) includes a memory device (208) configured to store missing outcome instructions (218) and a processor (206) configured to execute the missing outcome instructions. The instructions cause the processor to: evaluate records stored on a storage device (114) of a call center (106) of a system (102), wherein the storage device is configured to store electronic records of calls from a user site (104) to the call center, and each record includes at least a situation attribute field and an outcome attribute field, identify records of the stored records which include, at least one of, a value in the situation attribute or case note text in a case note database, but no value in the outcome attribute, and impute an outcome to the outcome attribute field of each identified record using at least one of the situation attribute and the case note text to predict the missing outcome.

Abstract: In a Personal Emergency Response System (PERS) service, activation of a wearable call device by a PERS client causes a speakerphone console to connect with a PERS call center to enable the PERS client to converse with a call center operator while a PERS client profile is retrieved from a PERS database and displayed on a display component at the PERS call center. From the profile, values of a set of features are generated for the PERS client. An emergency dispatch risk prediction or other risk prediction is computed over a future time horizon for the PERS client based on the generated values of the set of features, and is displayed on the display component. The risk prediction may be wirelessly sent to a mobile device for display on the mobile device.

Abstract: In a transient ischemic attack (TIA) alerting device, a motion sensor (24) is configured to attach to or be worn by a subject. A wearable electronic data processing device (10) includes a speaker (14), a microphone (16), a radio transmitter (26), and an electronic processor (40). The processor is programmed to perform a TIA alerting method including: detecting a TIA-symptomatic gait type by processing subject motion data acquired by the motion sensor; responsive to detecting the TIA-symptomatic gait type, executing a TIA assessment questionnaire (70) by outputting questions using the speaker and receiving spoken responses using the microphone; determining a TIA assessment based at least on the spoken responses to the questions of the TIA assessment questionnaire; and conditional on the TIA assessment indicating a possible TIA, outputting a TIA alert radio signal using the radio transmitter.

Abstract: In a Personal Emergency Response System (PERS) service, activation of a wearable call device by a PERS client causes a speakerphone console to connect with a PERS call center to enable the PERS client to converse with a call center operator while a PERS client profile is retrieved from a PERS database and displayed on a display component at the PERS call center. From the profile, values of a set of features are generated for the PERS client. An emergency dispatch risk prediction or other risk prediction is computed over a future time horizon for the PERS client based on the generated values of the set of features, and is displayed on the display component. The risk prediction may be wirelessly sent to a mobile device for display on the mobile device.

Abstract: In a Personal Emergency Response System (PERS) service, activation of a wearable call device (10) by a PERS client causes a speakerphone console (12) to connect with a PERS call center (18) to enable the PERS client to converse with a call center operator while a PERS client profile is retrieved from a PERS database (52) and displayed on a display component (44) at the PERS call center. From the profile, values of a set of features are generated for the PERS client. An emergency dispatch risk prediction or other risk prediction is computed over a future time horizon for the PERS client based on the generated values of the set of features, and is displayed on the display component. The risk prediction may be wirelessly sent to a mobile device (80) for display on the mobile device.

Abstract: In a Personal Emergency Response System (PERS) service, activation of a wearable call device (10) by a PERS client causes a speakerphone console (12) to connect with a PERS call center (18) to enable the PERS client to converse with a call center operator while a PERS client profile is retrieved from a PERS database (52) and displayed on a display component (44) at the PERS call center. From the profile, values of a set of features are generated for the PERS client. An emergency dispatch risk prediction or other risk prediction is computed over a future time horizon for the PERS client based on the generated values of the set of features, and is displayed on the display component. The risk prediction may be wirelessly sent to a mobile device (80) for display on the mobile device.