Abstract: One or more systems, computer-storage media, and methods are described for receiving, storing, and distributing clinical information to clients subscribed to or granted access to the information. Initially, content packages containing clinical information are received and stored. Datasets are extracted from the content packages and stored. The datasets and content packages are made available to clients via an online marketplace which enables one or more clients to edit, update, or request to merge a plurality of datasets.

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: One or more systems, computer-storage media, and methods are described for receiving, storing, and distributing clinical information to clients subscribed to or granted access to the information. Initially, content packages containing clinical information are received and stored. Datasets are extracted from the content packages and stored. The datasets and content packages are made available to clients via an online marketplace which enables one or more clients to edit, update, or request to merge a plurality of datasets.

Abstract: Readmission risks of patients admitted to a healthcare facility are determined using a generic readmission risk algorithm. The readmission risk assessment of patients may be based on portions of a patient's profile and may be performed before, during, and after their index admission. Based on the readmission risk assessment of patients, those patients that are at a greater risk for readmission may be identified. A readmission prevention worklist may be provided that identifies those patients and facilitates managing the risk of readmission for those patients.

Abstract: Readmission risk of patients admitted to a healthcare facility are determined using a generic readmission risk algorithm. The readmission risk assessment of patients may be based on portions of a patient's profile and may be performed before, during, and after their index admission. Based on the readmission risk assessment of patients, those patients that are at a greater risk for readmission may be identified. A readmission prevention worklist may be provide that identifies those patients and facilitates managing the risk of readmission for those patients.

Abstract: Invoking of one or more clinical orders for a particular patient is driven by an infection risk stratification. According to an associated method, infection risk factors for a patient are assessed. The method also includes determining correlations between patient data and two or more particular categories of infection risk associated with the infection risk factors, stratifying infection risk for the patient based on the correlations determined, and determining specific clinical orders relevant for the particular patient based on the stratification.

Abstract: Readmission risk of patients admitted to a healthcare facility are determined using a generic readmission risk algorithm. The readmission risk assessment of patients may be based on portions of a patient's profile and may be performed before, during, and after their index admission. Based on the readmission risk assessment of patients, those patients that are at a greater risk for readmission may be identified. A readmission prevention worklist may be provide that identifies those patients and facilitates managing the risk of readmission for those patients.

Abstract: Invoking of one or more clinical orders for a particular patient is driven by an infection risk stratification. According to an associated method, infection risk factors for a patient are assessed. The method also includes determining correlations between patient data and two or more particular categories of infection risk associated with the infection risk factors, stratifying infection risk for the patient based on the correlations determined, and determining specific clinical orders relevant for the particular patient based on the stratification.

Abstract: Described herein are embodiments directed to displaying presumptive health care infections (HAIs) that may be affecting a patients in health care facilities. Patient data is stored in a database. Software-encoded health care rules for detecting HAIs infections are applied to the patient data and used to classify a patient as having an HAI or community-acquired illness. If an HAI infection is detected, an indication of the HAI is communicated to a remote computer for display in a graphical user interface (GUI) to a clinician. Lists of patients at a given health care facility are communicated to the clinician and organized into groups of patients with HAIs and community-acquired infections.

Abstract: Described herein are embodiments directed to displaying presumptive health care infections (HAIs) that may be affecting a patients in health care facilities. Patient data is stored in a database. Software-encoded health care rules for detecting HAIs infections are applied to the patient data and used to classify a patient as having an HAI or community-acquired illness. If an HAI infection is detected, an indication of the HAI is communicated to a remote computer for display in a graphical user interface (GUI) to a clinician. Lists of patients at a given health care facility are communicated to the clinician and organized into groups of patients with HAIs and community-acquired infections.