A lodging reservation system is configured to receive lodging requests and display the lodging requests through a user interface. The system receives lodging offers in response to the lodging requests, and transmits the lodging offers to the originator of the lodging request. The system further is configured to receive a selection of a lodging offer from the transmitted lodging offers.

An electronic mail (email) system generates an email user interface display, that allows the user to enter message content. A context-sensitive calendar preview can be triggered and displayed on the email user interface display. The email system detects a user drag and drop input dragging at least a portion of the message content onto the calendar preview, and automatically generates a calendar event based upon the detected drag and drop input, and the particular portion of the message content dragged onto the context-sensitive calendar preview.

A system and a method are disclosed for augmenting a required curriculum of an individual in a nomadic group. The system retrieves, from a client device, a request for an accommodation recommendation from the nomadic group, which includes an individual with a required curriculum. The system maps the curriculum to destinations in a destination database and determines a set of geographic regions including the destinations. The system optimizes an accommodation recommendation based on available listings in the geographic regions and geographic locations of the destinations and transmits, for display on a user interface at the client device, a user interface comprising the accommodation recommendation.

A system and a method are disclosed for augmenting a required curriculum of an individual in a nomadic group. The system retrieves, from a client device, a request for an accommodation recommendation from the nomadic group, which includes an individual with a required curriculum. The system maps the curriculum to destinations in a destination database and determines a set of geographic regions including the destinations. The system optimizes an accommodation recommendation based on available listings in the geographic regions and geographic locations of the destinations and transmits, for display on a user interface at the client device, a user interface comprising the accommodation recommendation.

Embodiments described herein are directed to providing contextually relevant cues to users and to providing cues based on predicted conditions. In one scenario, a computer system identifies a task that is to be performed by a user. The computer system accesses data structures to identify current conditions related to the identified task. The computer system then generates, based on the identified current conditions related to the task, contextually relevant cues for the task. The contextually relevant cues provide suggestive information associated with the task. The computer system further provides the generated cue to the user. In other scenarios, the computer system identifies anticipated conditions related to the task using accessed historical information, and generates contextually relevant cues based on the identified anticipated conditions.

Systems and devices for regulation of self-management of a medication schedule are provided. A system can include a pill dispenser cap, a plurality of insulating layers; a near field communication (NFC) tag, and a pill dispenser. The system can further include a graphical user interface (GUI), and first and second mobile devices each having a display unit, a sensor, a processor, and a computer readable medium.

The present application includes a method and system for real-time predictive scheduling. The system receives information from at least one workload input and at least one personnel input, calculating an initial schedule based on the information and on analytics rules in a scheduling analytics engine. The system then allocates incoming workloads to customer service representatives according to the initial schedule, while monitoring adherence to the initial schedule by calculating deviation from schedule adherence. If the deviation from schedule adherence exceeds an acceptable deviation from schedule adherence within the analytics rules, the system calculates an updated schedule.

A medical system is disclosed. The medical system can include a patient monitoring device, a patient information system, and a mobile application. The patient monitoring device can be coupled to a patient to monitor one or more physiological parameters. The patient information system can allow the patient to communicate with a clinician. The patient information system can also provide information regarding schedules, medications, and procedures to the patient. The mobile application can be communicatively coupled with the patient monitoring device and the patient information system. The mobile application can allow a clinician to receive, view, and send information to or from the patient monitoring device and the patient information system.

A medical system is disclosed. The medical system can include a patient monitoring device, a patient information system, and a mobile application. The patient monitoring device can be coupled to a patient to monitor one or more physiological parameters. The patient information system can allow the patient to communicate with a clinician. The patient information system can also provide information regarding schedules, medications, and procedures to the patient. The mobile application can be communicatively coupled with the patient monitoring device and the patient information system. The mobile application can allow a clinician to receive, view, and send information to or from the patient monitoring device and the patient information system.

Embodiments of the present disclosure are directed to, among other things, generating reminders based on information from applications. For example, triggering events such as other users and/or locations can be used to configure reminders. Additionally, in some examples, reminders can be generated based at least in part on user interaction with an application, where state information can be saved and associated with the reminders.