Abstract: Methods, systems, and computer-readable medium are provided for generating a user interface that presents quality measures to a clinician in a healthcare system. Quality measures are identified that are applicable to a medical condition of a patient. Data elements that indicate completion of one or more quality measures are also identified in the patient's electronic medical record. A completion status of each of the quality measures is determined based on the data elements. A user interface is generated that provides an indication of the medical condition(s) of the patient, applicable quality measures, and the completion status thereof. The user interface may be presented to a clinician accessing the patient's EMR and may allow the clinician to provide additional data to document completion of a quality measure.

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 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: 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: 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.

Abstract: Described herein are embodiments directed to electronically managing infections in healthcare facilities. A treating infection preventionist (“IP”) uses a remote computer to access patients assigned to the IP. A server analyzes healthcare data associated with patients and groups the patients into different infection control categories (“IC categories”) for treatment or further monitoring. The IP can view assigned patients by their IC categories, receive alerts for potentially dangerous conditions in patients, and access real-time patient records from a remote computer.

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: An education method and system including a user interface. The user interface may illustrate a portion of the human anatomy that may be viewed in three dimensions. The user interface and method may also provide for selecting training modules, inputting student names, access codes, and tracking pre- and/or post-training student knowledge via quizzes and tests, receive curriculum concurrence from school or government administrators, receive permission from parents or guardians to the actual training and/or provide general visiting users with a holistic overview of the user interface and method of providing the education.

Abstract: Magnetic materials containing a rare earth metal, and iron or a similar metal, as well as nitrogen and carbon, are produced by gas absorbing nitrogen and carbon sequentially into a parent intermetallic compound; the resulting magnetic materials have high T.sub.c, .mu..sub.o M.sub.s and .mu..sub.o H.sub.A, are essentially free of .alpha.-Fe, and have a coercivity at 300.degree. K. of at least 1.5 T. Anisotropic magnetic materials are produced by pretreating the intermetallic compound, which contains carbon, by powder sintering or oriented hot shaping, followed by nitriding and/or carbiding.