Abstract: Methods are provided for the surveillance and monitoring of a patient's medical care when the patient is treated at two or more medical organizations having different medical record systems. Patient information is received from a first medical organization and populated into an active risk assessment array that monitors the patient's risk for developing a particular disease or condition. Patient information is then received from a second medical organization and populated into the array. It is determined that actionable criteria have been met, and in response, a notification or alert is sent to the medical organizations indicating that the patient is at risk.

Abstract: Methods, systems, and computer-readable media are disclosed herein that provide a comprehensive view that reveals all or nearly all possible method dependencies that are present in client workflows. In aspects, when computer code for a particular method is going to be edited, other methods are identified that have upstream or downstream dependencies relative to the particular method. The methods that will be affected based on the computer code editing can be presented in a user-interactive graphical user interface that facilitates exploration of upstream and downstream dependencies.

Abstract: Methods, systems, and computer-readable media are disclosed herein that provide a comprehensive view that reveals all or nearly all possible method dependencies that are present in client workflows. In aspects, when computer code for a particular method is going to be edited, other methods are identified that have upstream or downstream dependencies relative to the particular method. The methods that will be affected based on the computer code editing can be presented in a user-interactive graphical user interface that facilitates exploration of upstream and downstream dependencies.

Abstract: Methods and systems for natural language processing/understanding of voice conversations are provided. Using natural language processing, a clinical condition is extracted from a voice conversation. A clinical ontology identifies clinical concepts associated with the clinical conditions. The clinical concepts are classified for documentation. The clinical concepts are searched and validated from within an individual's longitudinal record.

Abstract: Methods and systems for natural language processing/understanding of voice conversations are provided. Using natural language processing, a clinical condition is extracted from a voice conversation. A clinical ontology identifies clinical concepts associated with the clinical conditions. The clinical concepts are classified for documentation. The clinical concepts are searched and validated from within an individual's longitudinal record.

Abstract: Methods are provided for validating theoretical improvements in the decision-support processes facilitating surveillance and monitoring of a patient's risk for developing a particular disease or condition and detecting the disease or condition. Patient information is received from a source and populated into an active risk assessment that monitors the patient's risk for developing Sepsis. At least a first and second set of actionable criteria for determining a patient's risk for developing sepsis are received. For each set of actionable criteria, it is determined that actionable criteria have been met. In some embodiments, software agents, operating in a multi-agent computing platform, perform each determination of whether actionable criteria are met.

Abstract: Methods are provided for the surveillance and monitoring of a patient's medical care when the patient is treated at two or more medical organizations having different medical record systems. Patient information is received from a first medical organization and populated into an active risk assessment array that monitors the patient's risk for developing a particular disease or condition. Patient information is then received from a second medical organization and populated into the array. It is determined that actionable criteria have been met, and in response, a notification or alert is sent to the medical organizations indicating that the patient is at risk.

Abstract: Methods are provided for the surveillance and monitoring of a patient's medical care when the patient is treated at two or more medical organizations having different medical record systems. Patient information is received from a first medical organization and populated into an active risk assessment array that monitors the patient's risk for developing a particular disease or condition. Patient information is then received from a second medical organization and populated into the array. It is determined that actionable criteria have been met, and in response, a notification or alert is sent to the medical organizations indicating that the patient is at risk.

Abstract: Methods are provided for the surveillance and monitoring of a patient's medical care when the patient is treated at two or more medical organizations having different medical record systems. Patient information is received from a first medical organization and populated into an active risk assessment array that monitors the patient's risk for developing a particular disease or condition. Patient information is then received from a second medical organization and populated into the array. It is determined that actionable criteria have been met, and in response, a notification or alert is sent to the medical organizations indicating that the patient is at risk.

Abstract: Methods are provided for validating theoretical improvements in the decision-support processes facilitating surveillance and monitoring of a patient's risk for developing a particular disease or condition and detecting the disease or condition. Patient information is received from a source and populated into an active risk assessment that monitors the patient's risk for developing Sepsis. At least a first and second set of actionable criteria for determining a patient's risk for developing sepsis are received. For each set of actionable criteria, it is determined that actionable criteria have been met. In some embodiments, software agents, operating in a multi-agent computing platform, perform each determination of whether actionable criteria are met.

Abstract: Proactive and interactive clinical decision support events are provided. When a clinical decision support event is initiated for a patient, relevant stored clinical information associated with the patient is accessed. A user interface is generated using the stored clinical information. A clinician may interact with the user interface by providing user-provided clinical information that may add to and/or modify the stored clinical information in the user interface. Clinical advice is provided based on the stored clinical information and the user-provided clinical information.

Abstract: User interfaces for proactive and interactive clinical decision support events are provided. When a clinical decision support event is initiated for a patient, relevant stored clinical information associated with the patient is accessed. A user interface is generated using the stored clinical information. A clinician may interact with the user interface by providing user-provided clinical information that may add to and/or modify the stored clinical information in the user interface. Clinical advice is provided via the user interface based on the stored clinical information and the user-provided clinical information.

Abstract: Methods are provided for the surveillance and monitoring of a patient's medical care when the patient is treated at two or more medical organizations having different medical record systems. Patient information is received from a first medical organization and populated into an active risk assessment array that monitors the patient's risk for developing a particular disease or condition. Patient information is then received from a second medical organization and populated into the array. It is determined that actionable criteria have been met, and in response, a notification or alert is sent to the medical organizations indicating that the patient is at risk.

Abstract: Computer-implemented methods, systems and computer-storage media that provide a link to a clinical decision support event interface are described. Clinical information for a patient is received and compared against one or more rules associated with a clinical decision support even. It is determined whether at least one of the rules associated with the clinical decision support event have been satisfied based on the clinical information. A clinical decision support event user interface is generated for presentation utilizing the clinical information for the patient. The user interface includes at least a portion of the clinical information for the patient and clinical advice based on the clinical information for the patient. A link to the user interface is displayed to a user.

Abstract: User interfaces for proactive and interactive clinical decision support events are provided. When a clinical decision support event is initiated for a patient, relevant stored clinical information associated with the patient is accessed. A user interface is generated using the stored clinical information. A clinician may interact with the user interface by providing user-provided clinical information that may add to and/or modify the stored clinical information in the user interface. Clinical advice is provided via the user interface based on the stored clinical information and the user-provided clinical information.

Abstract: Proactive and interactive clinical decision support events are provided. When a clinical decision support event is initiated for a patient, relevant stored clinical information associated with the patient is accessed. A user interface is generated using the stored clinical information. A clinician may interact with the user interface by providing user-provided clinical information that may add to and/or modify the stored clinical information in the user interface. Clinical advice is provided based on the stored clinical information and the user-provided clinical information.

Abstract: Proactive and interactive clinical decision support events are triggered based on information provided by a user during other clinical decision support events. User-provided clinical information received during a first clinical decision support event and stored clinical information are compared against rules for initiating clinical decision support events. Based on the comparison, a determination is made that a rule associated with a second clinical decision support event has been satisfied. The second clinical decision support event is initiated by providing a user interface including stored clinical information and/or user-provided information from the first clinical decision support event. Further user-provided clinical information may be received and clinical advise is provided based on the available clinical information.