Abstract: Techniques relate to facilitating assignments of tasks to promote efficient resource timetables. A first communication from a client device is received that corresponds to an electronic request to sue a resource to complete a task. A task type of the task and a client corresponding to the electronic request are identified. Usage data corresponding to the task type and client are identified. A task-assignment duration is defined based on the usage data and a buffer time period. An availability in a timetable of a resource that is of a duration that is at least as long as the task-assignment duration is identified. A second communication identifying a start time of the availability is transmitted to the client device. A third communication is received that accepts the start time, and a fourth communication is transmitted to a device controlling use of the resource that identifies the client, task and availability.

Abstract: Systems, methods, and machine-readable media to orchestrate process-performing resources are disclosed. Collected data items may correspond to assignments of process-performing resources, and device interactions or data changes that correspond to process or operation performances, conditions of loads. Data items may be processed to identify and map data portions to process-performing resources. Content nodes may be created and linked in a network of content nodes configured according to a computational model that comprises hierarchical orderings of the content nodes using a network data structure. A graphical representation may be formatted to represent the network data structure of the content nodes linked in the network. Metrics of resource performance corresponding to content nodes may be determined. The computational model may be trained using the metrics to create an adapted computational model. Adapted content nodes may be created according to the adapted computational model.

Abstract: In some examples, systems, methods, and devices are described that generate contextual suggestions for patients. Generation of the contextual suggestions is triggered by certain events performed by a medical professional with respect to a patient (e.g., updating a patient record). The contextual suggestions are related to addressing health conditions of the patient and represent tasks or considerations which the medical professional should be made aware. The contextual suggestions are generated in a way that is considerate of patient context, medical professional context, and contexts of similar patients. The contextual suggestions can be presented to the medical professional for selection and execution.

Abstract: Methods and systems disclosed herein relate generally to generating and using graph models to perform entity-specific mappings to investigatory events. More specifically, data-reliability metrics are used to selectively use proxy nodes in graph-model trajectories during generation of the mappings.

Abstract: Systems, methods, and machine-readable media are provided to facilitate controllable parameter modification of system components based on monitoring indicators of a caliber of process performance. A set of cases is identified from amongst the plurality of cases, the set of cases having similar temporal identifiers and a same type of process performance. A population check-point statistic is generated based on the check-point indicators identified in the set of cases. A first result that indicates whether a first criterion is met is determined based on the population check-point statistic. A second result that indicates whether a second criterion is met is determined based on a check-point indicator. When the first criterion or the second criterion is not met, one or more transmissions are to alert a remote device and to facilitate causing a system component to make a change to a controllable parameter to influence a corresponding check-point.

Abstract: Systems, methods, and machine-readable media to orchestrate process-performing resources and process protocols particularized to individual resources and loads are provided. Data changes in the data streams may be detected and identified. Data items from the data streams may be aggregated. Protocols that include parameter constraints according to specifications of process performance and/or operation performance may be identified. Operation-performing resources may be modeled with metrics being a function of protocols and consolidated data portions. A composite may be created that specifies a configuration a subsystem. The composite may be transmitted, and allocation of operation-performing resources to perform the defined process in accordance with the selected protocols may be controlled.

Abstract: Systems, methods, and machine-readable storage media for processing data streams in accordance with protocols to selectively transmit content to endpoint devices to facilitate conferencing are disclosed. Electronic communications may be received, via one or more networks, from endpoint devices, segregated, and routed to facilitate conferencing environments. Listening for data changes in data streams may be performed, each data stream corresponding to a particular source. Data changes that are generated based on events may be detected and mapped to a particular load identifier and a particular conferencing environment. A conferencing protocol may be identified and mapped to the particular conferencing environment. Consequent to determining that the data changes correspond to the one or more, the particular conferencing environment may be updated.

Abstract: In some examples, there may be provided systems, devices, and methods for using data from disparate databases to determine characteristics of a set of users within an organizational unit and generate customized user interface elements for display within a user interface.

Abstract: In some examples, unstructured data is evaluated using a natural language processing model to output a set of subjective indicators. These subjective indicators are scored using a predictive model to determine whether a dependent user has or is likely to develop a particular condition such as a cellular abnormality.

Abstract: Described herein is a system in which multiple display devices may be located remotely throughout a facility. The system receives location information for a number of users within the facility. The system is able to identify a set of users collocated with a particular display device and generate a set of configuration settings specific to that set of users. Information provided by the system, either in response to an information request or automatically, may be formatted and/or filtered according to the generated set of configuration settings. In some embodiments, the set of configuration settings may be compiled from each of the users in the set of users based on priority.

Abstract: A transaction management platform is provided that is configured to perform end-to-end tracking of messages in a medical network. Message tracking information is used to provide a graphical diagram to represent flow of messages within the medical network. Graphical properties of the diagram correspond to different properties of the messages.

Abstract: In some examples, structured and unstructured data is evaluated using one or more predictive models to determine whether a dependent user is at risk for a certain condition. In other examples, structured and unstructured data is evaluated using one or more predictive models to determine a contact plan for contacting dependent users regarding follow-up appointments related to release of the dependent user.

Abstract: A method for assessing completion of events in a network environment is provided. The method includes receiving a first event vector, generating a second event vector, machine matching the first event vector to the second event vector, and generating an output that includes a variable indicating whether an event corresponding to the first event vector is complete. If each of a plurality of first nodes of the first event vector matches a corresponding one of a plurality of the second nodes of the second event vector, the variable indicates that the event corresponding to the first event vector is complete. If at least one of the plurality of the first nodes of the first event vector is mismatched with the corresponding one of the plurality of the second nodes of the second event vector, the variable indicates that the event corresponding to the first event vector is incomplete.

Abstract: Systems, methods, and machine-readable media for process-performing resources and process specifications particularized to loads are provided. A provisional electronic composite for a load may be created. A type of process-performing resource may be identified. Performance data may be accessed to identify a process-performance duration that corresponds to a process type, the type of process-performing resource, process-performance locations, and process-performance times. A process-assignment duration may be defined, and an availability of a process-performing resource may be detected. A performance time may be determined based on the availability of the process-performing resource. Instruction to perform the process at the performance time may transmitted to at least one resource-controlling device. The provisional electronic composite for the load may be modified based on the performance time and the instruction to form an updated electronic composite.

Abstract: In some examples, a computer-implemented method is provided. The computer-implemented method includes accessing a training dataset including a plurality of data pairs. Each data pair of the plurality of data pairs includes first data from a first recorded observation for a first dependent user and second data from a first identifier for the first dependent user. The first identifier corresponds to the first recorded observation. The computer-implemented method also includes training a predictive model by using the training data set and accessing an unpaired recorded observation for a second dependent user. The unpaired recorded observation is missing a corresponding identifier. The computer-implemented method further includes using the trained predictive model to generate at least one paired identifier for the unpaired recorded observation, and outputting the at least one paired identifier.

Abstract: In some examples, user models are generated to represent experience of users with respect to their roles. Models that represent conditions are also generated. As part of generating a support element for a particular user, a triggering event is detected (e.g., an update to a user record), a condition is identified, a condition model and a user model are compared to identify a condition preparedness score. This score is used to generate the support element, which is shared with a user device of the user.

Abstract: Systems, methods, and machine-readable media are provided to facilitate controllable parameter modification of system components based on monitoring indicators of a caliber of process performance. A set of cases is identified from amongst the plurality of cases, the set of cases having similar temporal identifiers and a same type of process performance. A population check-point statistic is generated based on the check-point indicators identified in the set of cases. A first result that indicates whether a first criterion is met is determined based on the population check-point statistic. A second result that indicates whether a second criterion is met is determined based on a check-point indicator. When the first criterion or the second criterion is not met, one or more transmissions are to alert a remote device and to facilitate causing a system component to make a change to a controllable parameter to influence a corresponding check-point.

Abstract: Systems, methods, and machine-readable storage media to facilitate adaptive switch stack interaction are disclosed. Discovery may be performed via a network with respect to switches, each switch corresponding to a switch stack and including ports communicatively coupled to endpoint devices or access points. Switch data transmitted from the plurality of switches may be processed and used to develop models of the switches. Each model may include switch specifications, and a particular model may be used to emulate a particular switch. Emulation data may be created to facilitate a graphical representation formatted to represent the particular switch. The emulation data may be transmitted to an endpoint device to facilitate an emulation interface that may correspond to a graphical layout of the particular switch that allows access, via user-selectable interface elements, to a subset of the switch data that is mapped to the particular switch.

Abstract: In some examples, unstructured data is evaluated using a natural language processing model to output a set of subjective indicators. These subjective indicators are scored using a predictive model to determine whether a dependent user has or is likely to develop a particular condition such as a cellular abnormality.

Abstract: In some examples, systems, methods, and devices are described that generate contextual suggestions for patients. Generation of the contextual suggestions is triggered by certain events performed by a medical professional with respect to a patient (e.g., updating a patient record). The contextual suggestions are related to addressing health conditions of the patient and represent tasks or considerations which the medical professional should be made aware. The contextual suggestions are generated in a way that is considerate of patient context, medical professional context, and contexts of similar patients. The contextual suggestions can be presented to the medical professional for selection and execution.