Abstract: Systems and methods for informed mobility platform for an item processing supervisor within a distribution facility are disclosed. In one embodiment, a supervisor mobile terminal for electronically managing item processing activities associated with a distribution facility is provided. The terminal may include a transceiver circuit configured to wirelessly communicate with a server computer a plurality of sets of data relating to the item processing activities. The terminal may further include a user interface configured to display the plurality of sets of data and a controller in data communication with the transceiver circuit and the user interface. The controller may be configured to control the user interface to modify the at least one set of data and control the transceiver circuit to wirelessly communicate the modified data with the server computer such that the at least one set of data stored in the server computer is updated with the modified data.

Abstract: A computerized system customizes patient care workflows for health service providers. The system may extract essential details from various health service records for an individual, transform those details into standardized information, and use the standardized information to generate health service workflows that are particular to the patient. The health service workflows may be customized to a particular health service venue, a particular health service provider role, or even a particular health service provider.

Abstract: A computerized system customizes patient care workflows for health service providers. The system may extract essential details from various health service records for an individual, transform those details into standardized information, and use the standardized information to generate health service workflows that are particular to the patient. The health service workflows may be customized to a particular health service venue, a particular health service provider role, or even a particular health service provider.

Abstract: Computerized systems and methods facilitate preventing dangerous blood glucose levels using a predictive model to predict whether a particular patient is trending to have dangerous blood glucose levels. The predictive model may be built using logistic or linear regression models incorporating glucose data associated with a plurality of patients received from a plurality of sources. The glucose data may include context data and demographic data associated with the glucose data and the plurality of patients. The predictive model may be employed to predict a likelihood of a particular patient to have dangerous blood glucose levels. Based on the likelihood, the prediction and one or more interventions are communicated to a care team or the patient. The one or more interventions may be incorporated into a clinical device workflow associated with a clinician on the care team or the patient.

Abstract: A computerized system customizes patient care workflows for health service providers. The system may extract essential details from various health service records for an individual, transform those details into standardized information, and use the standardized information to generate health service workflows that are particular to the patient. The health service workflows may be customized to a particular health service venue, a particular health service provider role, or even a particular health service provider.

Abstract: A downhole tool including a downhole motor. The downhole motor may include a housing, a stator positioned within the housing, and a rotor positioned within the stator. The stator may include an elastomer compound that may include at least one of NBR or HNBR, process aids, and at least one of zinc oxide or graphite.

Abstract: Methods, systems, computer storage media, and graphical user interfaces for population health management are disclosed. The population health management system may allow for cross-continuum tracking and subsequent interactions with transactional systems, providers, and/or patients. The population health management system may include utilizing clinically relevant algorithms to populate registries to enable healthcare providers to better facilitate care for a population of patients. The population health management system may consolidate and provide comprehensive condition-specific and/or patient situation specific information that is accessible and updatable across venues. The population health management system may create cross venue antibiograms based on medications information and susceptibility results which can be filtered for selected demographics.

Abstract: Computerized systems and methods facilitate preventing dangerous blood glucose levels using a predictive model to predict whether a particular patient is trending to have dangerous blood glucose levels. The predictive model may be built using logistic or linear regression models incorporating glucose data associated with a plurality of patients received from a plurality of sources. The glucose data may include context data and demographic data associated with the glucose data and the plurality of patients. The predictive model may be employed to predict a likelihood of a particular patient to have dangerous blood glucose levels. Based on the likelihood, the prediction and one or more interventions are communicated to a care team or the patient. The one or more interventions may be incorporated into a clinical device workflow associated with a clinician on the care team or the patient.

Abstract: Systems and methods for informed mobility platform for a customer service supervisor within a distribution facility are disclosed. One embodiment may be a supervisor mobile terminal including a transceiver circuit, a user interface and a controller. The transceiver circuit may wirelessly communicate with a server computer a plurality of sets of data relating to the customer service activities. The user interface may display at least one set of the plurality of sets of data and receive an instruction to modify the at least one set of data the plurality of sets of data. The controller may control the user interface to modify the at least one set of data based on the instruction and control the transceiver circuit to wirelessly communicate the modified data with the server computer such that the at least one set of data stored in the server computer is updated with the modified data.

Abstract: Systems and methods for informed mobility platform for an item processing supervisor within a distribution facility are disclosed. In one embodiment, a supervisor mobile terminal for electronically managing item processing activities associated with a distribution facility is provided. The terminal may include a transceiver circuit configured to wirelessly communicate with a server computer a plurality of sets of data relating to the item processing activities. The terminal may further include a user interface configured to display the plurality of sets of data and a controller in data communication with the transceiver circuit and the user interface. The controller may be configured to control the user interface to modify the at least one set of data and control the transceiver circuit to wirelessly communicate the modified data with the server computer such that the at least one set of data stored in the server computer is updated with the modified data.

Abstract: Computerized systems and methods facilitate preventing dangerous blood glucose levels using a predictive model to predict whether a particular patient is trending to have dangerous blood glucose levels. The predictive model may be built using logistic or linear regression models incorporating glucose data associated with a plurality of patients received from a plurality of sources. The glucose data may include context data and demographic data associated with the glucose data and the plurality of patients. The predictive model may be employed to predict a likelihood of a particular patient to have dangerous blood glucose levels. Based on the likelihood, the prediction and one or more interventions are communicated to a care team or the patient. The one or more interventions may be incorporated into a clinical device workflow associated with a clinician on the care team or the patient.

Abstract: Computerized systems and methods facilitate preventing dangerous blood glucose levels using a predictive model to predict whether a particular patient is trending to have dangerous blood glucose levels. The predictive model may be built using logistic or linear regression models incorporating glucose data associated with a plurality of patients received from a plurality of sources. The glucose data may include context data and demographic data associated with the glucose data and the plurality of patients. The predictive model may be employed to predict a likelihood of a particular patient to have dangerous blood glucose levels. Based on the likelihood, the prediction and one or more interventions are communicated to a care team or the patient. The one or more interventions may be incorporated into a clinical device workflow associated with a clinician on the care team or the patient.

Abstract: A computerized system customizes patient care workflows for health service providers. The system may extract essential details from various health service records for an individual, transform those details into standardized information, and use the standardized information to generate health service workflows that are particular to the patient. The health service workflows may be customized to a particular health service venue, a particular health service provider role, or even a particular health service provider.

Abstract: A cloud-based system provides stratification of a medical population to facilitate the most efficient use of health intervention resources to improve the health of individual patients. The system can stratify coarse cohorts to identify patients with high management risk and/or high impactability. The system can recommend health service workflows for a particular patient. The system can use medical, community, and social data to better identify health service workflows appropriate for an individual and avoid missed opportunities to improve the health of highly impactable patients.

Abstract: Methods, systems, computer storage media, and graphical user interfaces for facilitating the creation and maintenance of one or more clinical decision support rules by a healthcare provider are disclosed. Rule segment options including pre-defined parameters may be provided to a healthcare provider for selection in order to facilitate the efficient creation and/or maintenance of one or more clinical decision support rules by a healthcare provider.

Abstract: Computerized systems and methods facilitate preventing dangerous blood glucose levels using a predictive model to predict whether a particular patient is trending to have dangerous blood glucose levels. The predictive model may be built using logistic or linear regression models incorporating glucose data associated with a plurality of patients received from a plurality of sources. The glucose data may include context data and demographic data associated with the glucose data and the plurality of patients. The predictive model may be employed to predict a likelihood of a particular patient to have dangerous blood glucose levels. Based on the likelihood, the prediction and one or more interventions are communicated to a care team or the patient. The one or more interventions may be incorporated into a clinical device workflow associated with a clinician on the care team or the patient.

Abstract: A system and method are provided of a proxy node for use in a network having a plurality of nodes. The proxy node is configured to identify neighboring node(s) within a predetermined closeness of said node, measured by any of physical, logical, network hops, network link, or vertices analysis closeness. The proxy node determines a level of nervousness of itself and sends and/or receives communication as to the level of nervousness to the neighboring node(s).

Abstract: The present invention is directed to, among other things, providing a personalized patient care plan that is customizable based on a healthcare role associated with a user and that is shared among a plurality of healthcare providers associated with a plurality of healthcare venues. In one aspect, healthcare data associated with the patient is received from the plurality of healthcare providers associated with the plurality of healthcare venues. Based on a healthcare role associated with a user, a set of the healthcare data that is relevant to the user may be extracted. The set of the healthcare data may be populated as a set of care plan items in the personalized care plan for the patient. This personalized care plan may then be presented to the user.

Abstract: An apparatus is disclosed for attachment to a jack including a first axle. The apparatus includes a fulcrum wheel disposed on a second axle, the second axle being connected directly or indirectly to the first axle. A lever has a first end connected directly or indirectly to the second axle and a second end having a terminus. A first line intersects the first axle and second axle. A second line intersects the second axle and the lever terminus. The first and second lines meet at an obtuse angle. In another aspect, an apparatus is disclosed including a jack having a first axle, an extension member, and a fulcrum wheel is disposed on a second axle connected to the extension member. A lever has a first end attachable to the extension member proximate the second axle. A method of moving a jack relative to a ground surface is also disclosed.

Abstract: A system and method are provided of a node for use in a network having a plurality of nodes. The node is configured to identify neighboring node(s) within a predetermined closeness of said node, measured by any of physical, logical, network hops, network link, or vertices analysis closeness. The node determines a level of nervousness of itself and sends and/or receives communication as to the level of nervousness to the neighboring node(s).