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: 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: Methods, systems, and computer storage media are provided for generating simulation graphs using real-time clinical data. A user may indicate one or more scenario variables to apply to an area of interest. A simulation graph is then generated that includes at least an indication of a scenario status. The scenario status indicates an expected result based on the one or more scenario variables selected by the user. The simulation graph may also include a baseline status indicating an expected result should no changes be made to a current environment. Multiple simulation graphs for varying areas of interest may be generated and compared to one another such that a user is able to quickly identify efficient solutions.

Abstract: A clarifier in a wastewater treatment plant is provided with a submerged launder for effluent, the launder preferably having an integral density current baffle and scum baffle. In one embodiment an existing launder is modified, with its vertical leg replaced with a sloped plate defining launder conduit triangular in cross section, and with a sloping portion of the plate forming a density current baffle. Openings in the sloped plate permit entry of effluent liquid, and the liquid level in a clarifier is controlled without an overflow weir plate. In another form submerged pipe with entry holes serves as the launder, with support brackets integral with a density current baffle. A third form of the launder is a box formed beneath the shelf of an existing internal launder in the clarifier, again with a density current baffle extending down from the box. In another version an existing launder is covered and sealed, and holes are drilled through the launder wall to admit effluent.

Abstract: A clarifier in a wastewater treatment plant is provided with a submerged launder for effluent, the launder preferably having an integral density current baffle and scum baffle. In one embodiment an existing launder is modified, with its vertical leg replaced with a sloped plate defining launder conduit triangular in cross section, and with a sloping portion of the plate forming a density current baffle. Openings in the sloped plate permit entry of effluent liquid, and the liquid level in a clarifier is controlled without an overflow weir plate. In another form submerged pipe with entry holes serves as the launder, with support brackets integral with a density current baffle. A third form of the launder is a box formed beneath the shelf of an existing internal launder in the clarifier, again with a density current baffle extending down from the box. In another version an existing launder is covered and sealed, and holes are drilled through the launder wall to admit effluent.

Abstract: Decision support services relating to palliative care are provided including identifying patients who potentially would benefit from a palliative care program, providing palliative care to a population of patients, and managing care of the population. Patients may be identified using a combination of patient-centric data and evidence-based logic to determine patients who likely qualify for palliative care. The identified patients may be stratified or subdivided into one or more categories, so that corresponding palliative care programs may be identified and patient care may be prioritized. These identified patients may then be matched with suitable health care providers. Additional palliative care services are described for generating palliative care workflows, patient worklists, managing patient transitions, referrals, and assignments.

Abstract: Methods, systems, and computer storage media are provided for generating simulation graphs using real-time clinical data. A user may indicate one or more scenario variables to apply to an area of interest. A simulation graph is then generated that includes at least an indication of a scenario status. The scenario status indicates an expected result based on the one or more scenario variables selected by the user. The simulation graph may also include a baseline status indicating an expected result should no changes be made to a current environment. Multiple simulation graphs for varying areas of interest may be generated and compared to one another such that a user is able to quickly identify efficient solutions.

Abstract: Methods, systems, and computer storage media are provided for generating simulation graphs using real-time clinical data. A user may indicate one or more scenario variables to apply to an area of interest. A simulation graph is then generated that includes at least an indication of a scenario status. The scenario status indicates an expected result based on the one or more scenario variables selected by the user. The simulation graph may also include a baseline status indicating an expected result should no changes be made to a current environment. Multiple simulation graphs for varying areas of interest may be generated and compared to one another such that a user is able to quickly identify efficient solutions.

Abstract: A readmission risk prediction model is generated and used for identifying patients having elevated risk of readmission and determining inpatient treatment and outpatient activities based on readmission risk. Readmission risk prediction models may be generated for a variety of different clinical conditions using logistic regression techniques. When a patient is admitted to a hospital, the patient's condition is identified and a corresponding readmission risk prediction model is employed to identify the patient's risk of readmission. The readmission risk may be presented to a clinician and employed to recommend interventions intended to treat the patient and reduce the probability of readmission for the patient. The patient's readmission risk may also be calculated after the patient has been discharged and used for planning outpatient activities for the patient.

Abstract: A readmission risk prediction model is generated and used for identifying patients having elevated risk of readmission and determining inpatient treatment and outpatient activities based on readmission risk. Readmission risk prediction models may be generated for a variety of different clinical conditions using logistic regression techniques. When a patient is admitted to a hospital, the patient's condition is identified and a corresponding readmission risk prediction model is employed to identify the patient's risk of readmission. The readmission risk may be presented to a clinician and employed to recommend interventions intended to treat the patient and reduce the probability of readmission for the patient. The patient's readmission risk may also be calculated after the patient has been discharged and used for planning outpatient activities for the patient.

Abstract: Methods, computer systems, and computer storage media are provided for using patient information stored in association with the patient's electronic medical record at a first healthcare facility to generate a comprehensive nursing risk assessment for the patient. The comprehensive nursing risk assessment includes nursing risk scenarios for which the patient is at risk and nursing risk prevention measures designed to reduce that risk. The comprehensive nursing risk assessment can be utilized by clinicians other than clinicians in a nursing-type role. The comprehensive nursing risk assessment can also be communicated to other healthcare facilities that are either concurrently caring for the patient with the first healthcare facility or scheduled to care for the patient after the patient is discharged from the first healthcare facility.

Abstract: Methods, computer systems, and computer storage media are provided for utilizing a healthcare facility's antibiogram information to generate customized antibiograms. One or more user-selected filters are applied to the information in the antibiogram data store. Filters include organism type, antimicrobial type, date range, encounter type, healthcare facility unit, and end-user role. Using the selected filters, a customized antibiogram is generated and presented on a user interface.

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: Methods, computer systems, and computer-readable media for generating a pharmacy work queue are provided. Clinical parameters are received along with a request for the pharmacy work queue. Patients at a healthcare facility who satisfy the clinical parameters are identified, and the pharmacy work queue is generated. The pharmacy work queue comprises an indication of the patients who satisfy the clinical parameters.

Abstract: Methods, systems, and computer storage media are provided for generating simulation graphs using real-time clinical data. A user may indicate one or more scenario variables to apply to an area of interest. A simulation graph is then generated that includes at least an indication of a scenario status. The scenario status indicates an expected result based on the one or more scenario variables selected by the user. The simulation graph may also include a baseline status indicating an expected result should no changes be made to a current environment. Multiple simulation graphs for varying areas of interest may be generated and compared to one another such that a user is able to quickly identify efficient solutions.

Abstract: A method, system, medium, and graphical user interface are provided for managing treatment of patients on anticoagulant medications. Patients undergoing anticoagulant treatment are identified. A consolidated list of anticoagulant patients is generated. The list includes patient information, prescribed anticoagulant medications, reasons for treatment, and laboratory test values, among other data. It is determined that a laboratory test result associated with an anticoagulant medication is outside of a desired range. Guidelines associated with provision of the medication are identified and provided to a clinician via a graphical user interface. The GUI provides a centralized consolidated presentation of anticoagulant patient information that allows clinicians to more easily access the information and to more quickly identify activities to be performed for anticoagulant patients. Clinicians may also enter or change orders, document treatment, and receive alerts regarding treatment of anticoagulant patients.