Abstract: Methods, systems, and computer-readable media are provided for healthcare organizations to manage financial and clinical objectives between payers, providers, and patients. A healthcare organization's organizational data is accessed to identify quality measure contract objectives contained in contracts between the healthcare organization and its payers. Patient data of patients in scorable patient groups is accessed to determine if the patients meet the quality measure contract objectives. If so, a financial incentive is determined.

Abstract: Methods, systems, and computer-readable media are provided for attributing patients to various healthcare providers within a healthcare organization. Attribution is geared towards pairing a patient with an optimal set of healthcare providers to effectively manage the patient while keeping costs down. Organizational data associated with the healthcare organization is accessed to identify at least provider information, and patient data is accessed to determine preference information and previous and current provider relationships associated with the patients. The organizational data and the patient data are used to attribute each patient to one or more providers.

Abstract: Methods, systems, and computer-readable media are provided for building a score plan for a healthcare organization, its providers, its payers, and/or its patients and presenting the results of the score plan on one or more score card user interfaces. Score cards graphically display an entity's progress towards meeting quality measure objectives. The score cards provide information on percentage completion of one or more quality measure objectives by the entity and/or quality measure objectives that may be difficult for the entity to achieve.

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 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 Sepsis. 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 for developing Sepsis.

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 storage media are provided for enabling management of a patient's blood when the patient has been admitted to a healthcare facility but does not have a scheduled procedure. A patient who is admitted to the healthcare facility is identified and based on the patient's red blood cell measurements, it is determined that the patient is anemic. It is determined that the patient requires blood treatment based on these red blood cell measurements. Blood treatment instructions are determined by way of algorithms, and these instructions are displayed in the patient's electronic medical record such that a clinician can determine, based on the recommended instructions, which interventions to administer to the patient.

Abstract: Methods, systems, and computer storage media are provided for enabling management of a patient's blood when the patient has a scheduled elective procedure. Blood test results are received for the patient and are recorded in the patient's electronic medical record (EMR). It is determined that the elective procedure is associated with a high risk of blood loss. Based on the blood test results, it is determined that the patient requires blood treatment prior to the elective procedure. Blood treatment instructions are automatically determined and are displayed on the patient's EMR such that the clinician associated with the patient can review the instructions and determine if the patient will receive any or all of the recommended blood treatment prior to the elective procedure.

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: Systems, methods, and computer-readable media for generating healthcare timelines are provided. In embodiments, healthcare timelines are generated based on a clinical condition identified for a patient and a patient care plan associated with the clinical condition. Evidence-based best practice standards are evaluated to generate the healthcare timeline as well as a patient history that may affect the healthcare timeline and best practice standards that are appropriate for the patient. The healthcare timeline includes an onset time of the clinical condition, one or more tasks to complete for the clinical condition, and a timer that illustrates an amount of time remaining to complete the one or more tasks before expiration of the timer and administration of a critical treatment.