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: Technologies for platooned include a leader vehicle and one or more follower vehicles each including a computing device. The leader vehicle computing device controls velocity of the leader vehicle within a predetermined route based on a grade profile of the predetermined route. The leader vehicle may perform nonlinear model predictive control using a cost function based on predicted velocity error and predicted fuel consumption. The follower vehicle computing device controls velocity of the follower vehicle within the predetermined route based on headway distance to the leader vehicle and the grade profile. The follower vehicle may perform nonlinear model predictive control using a cost function based on predicted headway error, predicted headway rate of change, and predicted fuel consumption. Other embodiments are described and claimed.

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: A method, system and computerized medium in a computerized environment for placing optional orders for an order set for a patient is provided. A request to display an order set for a patient is received. The order set comprises one or more optional orders. The optional orders that may or may not be placed for the order set. The optional orders are determined and the optional orders are displayed. A selection of one or more of the optional orders to be placed for the order set is received and the selected optional orders are placed for the order set.

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: A method, system and computerized medium in a computerized environment for placing optional orders for an order set for a patient is provided. A request to display an order set for a patient is received. The order set comprises one or more optional orders. The optional orders that may or may not be placed for the order set. The optional orders are determined and the optional orders are displayed. A selection of one or more of the optional orders to be placed for the order set is received and the selected optional orders are placed for the order set.

Abstract: A method, system and computerized medium in a computerized environment for placing optional orders for an order set for a patient is provided. A request to display an order set for a patient is received. The order set comprises one or more optional orders. The optional orders that may or may not be placed for the order set. The optional orders are determined and the optional orders are displayed. A selection of one or more of the optional orders to be placed for the order set is received and the selected optional orders are placed for the order set.

Abstract: A method, system and computerized medium in a computerized environment for placing optional orders for an order set for a patient is provided. A request to display an order set for a patient is received. The order set comprises one or more optional orders. The optional orders that may or may not be placed for the order set. The optional orders are determined and the optional orders are displayed. A selection of one or more of the optional orders to be placed for the order set is received and the selected optional orders are placed for the order set.

Abstract: Processes implemented within a computer system for preventing atypical clinical events resulting from administering unsuitable clinical agent(s) are provided. Initially, the processes involve receiving a list of possible clinical agent(s) that may be administered to a patient during a medical procedure. The processes further involve acquiring heredity data associated with the clinical agent(s) by comparing the clinical agent(s) against a data set or the patient's medical records. If the heredity data indicates that the patient scheduled to receive the clinical agent(s) would experience atypical clinical events as a potential outcome, a warning that the clinical agent(s) should not be administered by a clinician is presented or reference information about the atypical clinical event is output. Accordingly, a preemptive determination of the atypical clinical events potentially occurring upon administering the clinical agent(s) to the patient is made.

Abstract: Processes implemented within a computer system for preventing atypical clinical events resulting from administering unsuitable clinical agent(s) are provided. Initially, the processes involve receiving a list of possible clinical agent(s) that may be administered to a patient during a medical procedure. The processes further involve acquiring heredity data associated with the clinical agent(s) by comparing the clinical agent(s) against a data set or the patient's medical records. If the heredity data indicates that the patient scheduled to receive the clinical agent(s) would experience atypical clinical events as a potential outcome, a warning that the clinical agent(s) should not be administered by a clinician is presented or reference information about the atypical clinical event is output. Accordingly, a preemptive determination of the atypical clinical events potentially occurring upon administering the clinical agent(s) to the patient is made.

Abstract: A method and system in a computing environment for inferring genetic findings for a patient is provided. The method includes receiving a request for genetic findings for a person from another application or a user. The method further includes inquiring as to whether the person has the genetic findings. If not, the method automatically provides inferred genetic findings for the person. The inferred genetic findings are calculated using genetic findings for family members of the patient, linkage analysis, haplotype analysis, semantic test results for the person and/or population genetics information.

Abstract: A method and system in a computing environment for inferring genetic findings for a patient is provided. The method includes receiving a request for genetic findings for a person from another application or a user. The method further includes inquiring as to whether the person has the genetic findings. If not, the method automatically provides inferred genetic findings for the person. The inferred genetic findings are calculated using genetic findings for family members of the patient, linkage analysis, haplotype analysis, semantic test results for the person and/or population genetics information.

Abstract: Systems, methods, and computer-readable media for associating multiple data sources into a web-accessible framework. Health data is received from multiple data sources and is used to populate a framework comprising at least one topic focused data mart. Each topic focused data mart has a common structure and is associated with a web service providing standard features supported by each topic focused data mart and custom features specific to a topic associated with each topic focused data mart. In various embodiments, demographic information is received from a clinician and is utilized to present context-specific data derived from the topic focused data mart.

Abstract: Processes implemented within a computer system for preventing atypical clinical events resulting from administering unsuitable clinical agent(s) are provided. Initially, the processes involve receiving a list of possible clinical agent(s) that may be administered to a patient during a medical procedure. The processes further involve acquiring heredity data associated with the clinical agent(s) by comparing the clinical agent(s) against a data set or the patient's medical records. If the heredity data indicates that the patient scheduled to receive the clinical agent(s) would experience atypical clinical events as a potential outcome, a warning that the clinical agent(s) should not be administered by a clinician is presented or reference information about the atypical clinical event is output. Accordingly, a preemptive determination of the atypical clinical events potentially occurring upon administering the clinical agent(s) to the patient is made.

Abstract: Methods and systems are provided for the communication of personal grid results in a clinical setting. Personal grid results comprise one or more of: 1.) genetic sequences or genetic markers of a genome of the patient, 2.) one or more proteomic profiles of the patient, 3.) one or more genetic sequences or genetic markers of a microbiome of the patient, 4.) one or more transcriptome profiles of the patient, 5.) genetic sequences or genetic markers of a exome of the patient, and 6.) one or more cytogenetic data of the patient. The personal grid results also comprise clinical history, allergies, family history, a belief system, and attributes of the patient. The personal grid results are received by the entity that is responsible for distributing the personal grid results from a first party (or a publisher). The personal grid results are then communicated to a second party (or a subscriber) for a cost.

Abstract: A method, system and computerized medium in a computerized environment for placing optional orders for an order set for a patient is provided. A request to display an order set for a patient is received. The order set comprises one or more optional orders. The optional orders that may or may not be placed for the order set. The optional orders are determined and the optional orders are displayed. A selection of one or more of the optional orders to be placed for the order set is received and the selected optional orders are placed for the order set.