Abstract: Method and system for displaying measured health data are disclosed herein. An example method includes receiving configuration for a rules engine which comprises a plurality of configurable rules. Each rule defines a link to specific information in an electronic medical record (EMR) in response to the measured health data meeting one or more criteria. The method further includes receiving the measured health data for a subject; linking the measured health data to the specific information in the EMR in response to the measured health data meeting the one or more criteria based on the configured rules engine; and displaying the measured health data and the specific information in the EMR which is linked to the measured health data.

Abstract: Techniques for rules engine referencing are described herein. The techniques may include receiving electrocardiograph (ECG) data for a subject and identifying an electronic medical record (EMR) associated with the subject. The techniques further including referencing a rules engine including multiple configurable conditions defining when specific ECG data is to be linked to the EMR, and linking the specific ECG data to the EMR if one or more of the plurality of configurable conditions are met.

Abstract: Disclosed herein is a radiographic imaging system which performs system performance monitoring by (1) using automatic exposure control (AEC) components to predict the average image gray level; (2) obtaining measured average image gray levels from the portions of the X-ray detector situated in the X-ray shadow of the AEC components; and then (3) comparing the predicted and measured values. The predicted values are determined by use of a prediction model which is modified by a learning system over successive exposures to provide more accurate predictions. After the learning system has sufficiently developed the prediction model, the error between the predicted and measured gray level values may be monitored in later exposures and an error routine can be activated if the error exceeds a predetermined threshold. In this case, the error may indicate that system components in the imaging chain (e.g., the detector or AEC components) require maintenance.