Abstract: The present disclosure relates to cell processing techniques. By way of example, a cell processing system may include a plurality of sample processing devices configured to process patient samples and a plurality of readers respectively associated with the plurality of sample processing devices, wherein each reader is configured to read information from tracking devices associated with respective patient samples. The system may also include a controller that uses information from the readers to provide an estimated completion time for a patient sample based on availability of the sample processing devices.

Abstract: Certain examples provide systems and methods to monitor and control hospital operational systems based on occupancy data and medical orders. An example healthcare workflow management and reasoning system includes a workflow engine including a first particularly programmed processor to monitor one or more medical orders from one or more hospital information systems to identify a condition indicating that a first patient in a first room is ready for a clinical activity such as discharge. The example healthcare workflow management and reasoning system includes a sensing component including a second processor to gather occupancy data regarding the first patient in the first room and transmit the occupancy data to the workflow engine. The example workflow engine controls one or more hospital operational systems to trigger cleaning of the first room, lighting settings for the first room, and transportation of a second patient to the first room based on occupancy data from the sensing component.

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program, and a method for generating optimal power plant decommissioning plans based on stakeholder constraints. In example embodiments, the method may include receiving one or more constraints for determining a power plant decommissioning plan. The method further includes accessing decommissioning strategy data representing a plurality of possible decommissioning plans, and generating a decommissioning plan in accordance with the constraints based on the decommissioning strategy data. The method may further include causing presentation of a user interface on a client device that includes a graphical representation of the power plant decommissioning plan.

Abstract: A method of dynamically adjusting an industrial system outage plan is disclosed. Data items pertaining to changes to past plans associated with past outages of a plurality of industrial systems are received along with optional inputs from physics based model(s) of the system, such as a fuel model. The data items include measurements of impacts of changes to the past plans. Work rules pertaining to a work force are received. The work force is responsible for implementing an additional plan corresponding to an additional outage of an additional industrial system. The work rules include fatigue thresholds for workers in the work force. Based on a determination that a probability that one or more fatigue thresholds will be exceeded, a recommendation for a change to the additional plan is generated. The recommendation is based on the measurements of the impacts of the changes to the past plans.

Abstract: A system for building a vehicle system determines cargo and vehicles to carry the cargo from a first location to a second location via one or more vehicle yards disposed between the locations. One or more characteristics of the vehicle yards are determined, as well as different builds of the vehicle system based on the cargo, the vehicle units, and the characteristics of the vehicle yards. The different builds designate different combinations of where the first cargo is carried in a vehicle system that includes the vehicle units and/or where the vehicle units are located relative to each other in the vehicle system. A build of the vehicle system is selected from among the different builds for forming the vehicle system according to the build in order to reduce the time spent handling or processing the vehicle system at another vehicle yard.

Abstract: Aspects of the present disclosure relate to a system comprising a computer-readable storage medium storing at least one program and a method for optimizing and controlling the physical and business aspects of an industrial system. In example embodiments, the method may include assessing criteria to be applied to an industrial system, and generating simulation scenarios based on the criteria. The method may further include simulating each of the simulation scenarios over a period of time to generate simulated physical aspects and simulated business aspects of the industrial system for each of the plurality of simulation scenarios. The method may further include identifying at least one of the simulation scenarios for use with the industrial system based on a comparison of the simulated physical aspects and the simulated business aspects corresponding to each simulation scenario.

Abstract: Systems, methods, and apparatus to dynamically manage interdependent, variable scheduled procedures are provided. An example method includes calculating a cumulative distribution function (CDF) for task(s) in a healthcare protocol based on a probability density function associated with task duration(s) for the task(s). The method includes determining a plurality of schedule risk states for each task in a healthcare protocol, each schedule risk state associated with an upper specification limit (USL) and a lower specification limit (LSL) along the CDF. The method includes identifying, within USL and LSL for each schedule risk state, setpoint(s) associated with probability(-ies) along the CDF. The method includes monitoring execution of task(s) in the healthcare protocol to identify a transition in schedule risk state according to USL and LSL. The method includes triggering an action to react to an actual or upcoming change in schedule risk state based on setpoint(s) associated with the schedule risk state.

Abstract: According to some embodiments, a model building platform may receive a set of historic industrial plant parameters associated with operation of a plurality of industrial plants over a period of time. The model building platform may automatically create a generative model based on relationships detected within the set of historic industrial plant parameters. A model execution platform may then receive incomplete industrial plant information associated with a particular industrial plant, and automatically generate supplemented industrial plant data based on the received incomplete industrial plant information and the generative model. An indication of the supplemented industrial plant data may then be output.

Abstract: An example method includes: classifying lung function risk based on patient attributes and a clinical protocol; generating alarms and incentives for compliance with the clinical protocol based on patient attributes, clinical protocol, and patient lung function risk; determining an orientation and position of a clinical device based on tagged feature(s) of the clinical device compared to identified patient feature(s); monitoring patient interaction with the clinical device; identifying a deviation from the clinical protocol based on the monitored patient interaction, a patient biometric indicator, and a desired setpoint state in the protocol; when a deviation is identified, providing feedback proportional to the deviation, the feedback including an adjustment with respect to the clinical protocol and/or the clinical device; and triggering at least one alarm and/or incentive based on deviation and feedback, wherein the alarm/incentives differs based on whether and to what extent deviation is identified and feed

Abstract: An example system includes a care decision subsystem to process a patient problem and clinical patient attribute to (a) identify a plurality of patient care path options for evaluation by a patient and/or provider and to (b) generate a mashup of the plurality of patient care path options based on a combination of patient-specific criteria including (i) clinical efficacy and (ii) cost associated with each of the plurality of patient care path options. Each of the plurality of patient care path options is generated for visual representation to be displayed and utilized in an evaluation by the patient/provider with respect to an objective associated with the patient problem. A user interface displays the mashup of the plurality of patient care path options for interaction to facilitate a data-driven selection of at least one of the plurality of patient care path options based on comparative efficacy and cost.

Abstract: Embodiments of the system support hospital operations, delivery of health care, and improve patient satisfaction. The interactive hospital information system utilizes inputs from a mobile device, eliminating the cost of fixed cameras and sensor systems in the hospital facility. Aspects of the invention facilitate real-time patient care and patient room updates by care providers, validating that prescribed devices, services, and setups are in place per protocol. The system communicates with rounding persons as to specific care management. Network devices, such as an iPad® or smartphone, are utilized to monitor and record ongoing activities in the healthcare setting.

Abstract: An airline operations control system for an airline having multiple aircraft and multiple routes formed by one or more flights, which are implemented by the aircraft flying the flights forming the routes, where the airline operations control system includes a computer searchable database, a query module configured to query the database, and a prognostic module.

Abstract: Snapshot data may be received indicative of a current state of resources that deliver healthcare to a plurality of patients associated with a healthcare enterprise. The received snapshot data may be automatically used to initialize a healthcare enterprise simulation model. The healthcare enterprise simulation model may then be executed to automatically generate a predicted future state of the resources at a predetermined point in time. Some embodiments may automatically suggest mitigation strategies based on simulated scenarios reflecting potential bottlenecks and appropriate actions that may be taken by the enterprise. The system may continuously and automatically monitor forecast accuracy to detect potential anomalies.

Abstract: Systems and methods for multi-dimensional, value-based clinical care path decision support are provided. A system includes a care decision subsystem to receive a patient problem and at least one clinical patient attribute, to identify a plurality of patient care path options for evaluation by the patient and a provider, and to generate a mashup of patient-specific criteria including clinical efficacy, cost, and access associated with each of the plurality of patient care path options. Each of the plurality of patient care path options can be utilized in an evaluation with respect to an objective associated with the patient problem. A user interface displays the plurality of patient care path options and associated mashup of patient-specific criteria to facilitate a data-driven selection of at least one of the plurality of patient care path options based on comparative efficacy, cost, and access tailored to the patient.

Abstract: Methods, systems and non-transitory computer readable media for automated workflow management for sleep quality are presented. A subject in a resting state is monitored using one or more sensors for acquiring one or more physiological parameters. A phase of sleep of the subject at a specific time using the physiological parameters is detected and inferred. Further, a recuperative benefit of the detected sleep phase is estimated. Additionally, it is determined is if an activity in a patient care workflow scheduled proximate to the specific time hinders sleep of the subject. The patient care workflow is then automatically reconfigured if scheduled activity hinders patient sleep, if the determined recuperative benefits exceed a designated threshold and/or if a proposed reconfiguration satisfies one or more designated criteria accounting for both restorative benefits to the patient and objectives of competing care delivery activities for both a given patient and a department.

Abstract: Systems and methods for multi-dimensional, value-based clinical care path decision support are provided. A system includes a care decision subsystem to receive a patient problem and at least one clinical patient attribute, to identify a plurality of patient care path options for evaluation by the patient and a provider, and to generate a mashup of patient-specific criteria including clinical efficacy, cost, and access associated with each of the plurality of patient care path options. Each of the plurality of patient care path options can be utilized in an evaluation with respect to an objective associated with the patient problem. A user interface displays the plurality of patient care path options and associated mashup of patient-specific criteria to facilitate a data-driven selection of at least one of the plurality of patient care path options based on comparative efficacy, cost, and access tailored to the patient.

Abstract: An airline operations control system for an airline having multiple aircraft and multiple routes formed by one or more flights, which are implemented by the aircraft flying the flights forming the routes, where the airline operations control system includes a computer searchable database, a query module configured to query the database, and a prognostic module.

Abstract: An airline operations control system for an airline having multiple aircraft and multiple routes formed by one or more flights where the airline operations control system includes a computer searchable database a query module configured to query the database and a prognostic module.

Abstract: An airline operations control system for an airline having multiple aircraft and multiple routes formed by one or more flights where the airline operations control system includes a computer searchable database a query module configured to query the database and a prognostic module.

Abstract: The cross correlation tool is used to quickly understand and describe the composition of an asset portfolio and the response of a user selected variable versus other variables in the portfolio. The tool is also used to quickly identify unexpectedly high or low correlation between two attribute variables and the response variable. Identification of unexpected correlations improves understanding of the portfolio data and the decisions regarding a potential purchase of the portfolio. Attribute variables are of two types, continuous and categorical. The cross correlations are computed between all variables of interest and their bin or level and presented in a two dimensional matrix for easy identification of trends.