Abstract: Methods, systems, and computer-storage media are provided for a extracting real-time data to generate utilization models and reports for improving the utilization of a surgical block within a healthcare system. Sets of real-time data are extracted from a first source, a second source, and a third source. The sets of data are processed, validated, and transformed into a first set of utilization data. The first set of utilization data is analyzed and a utilization model is generated based on such analysis. Additionally, a report, which includes the utilization model, is generated for display to a user via a user interface. The use of the report and utilization model allow for implementing changes to scheduling and workflow that result in increasing surgical block utilization rates.

Abstract: Methods, systems, and computer-readable media are disclosed herein for predicting medication induced respiratory depression in patients. Herein, when indications are received for particular events being logged to a computerized clinical workflow, a query of patient's clinical record(s) is preformed to locate predetermined factors that are associated with medication induced respiratory depression. An overall value is calculated to stratify the possibility of adverse respiratory events for the patient. Warnings, detailed intervention instructions, and complete medical orders can be automatically generated and provided to a clinician and/or automatically input to the clinical workflow of the patient for performance.