Cerner Innovation, Inc.

Susan M Tarkka

Lori N Cross

Arthur J Hauck

Timothy S Kelly

Computerized methods and systems, and computer-readable media having computer-executable instructions embodied thereon, for utilizing a time-to-positivity associated with a blood culture to generate at least one treatment recommendation are provided. Methods according to embodiments of the present invention may include receiving an indication that a blood culture is positive for the presence of a particular bacterium, determining a time-to-positivity for the presence of the bacterium, and automatically generating at least one treatment recommendation utilizing the time-to-positivity. If desired, the method may further include one or more of receiving verification of the indication that the blood culture is positive for the presence of the bacterium in question and communicating the positivity determination as appropriate, e.g., utilizing alerts.

Utilizing time-to-positivity to generate treatment recommendations

A system and method provide for determining a patient's infection risk associated with a specific healthcare provider encounter. The method incorporates the steps of assessing infection risk factors for a particular patient and comparing those factors to a set of benchmark infection risk factors derived from historical patient outcomes data. Based on the results of the comparison the infection risk assessment for the particular patient is determined and displayed.

System and method for determining a person centric infection risk associated with encountering a healthcare provider

A system and method provide for determining and displaying on a user interface a patient's infection risk associated with a specific healthcare provider encounter. Specifically, a patient's infection risk assessment is presented in the form of a graphical representation of a set of infection risk values determined through utilization of a set of benchmark infection risk factors. Each infection risk value is associated with a particular point in time. This provides a visualization of changes in infection risk over time for the patient.

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Kansas City, MO, United States of America

Susan M Tarkka