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: 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: 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 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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.