Abstract: Systems and methods are provided to supplement an electronic record with additional information related to the electronic record. The additional information is provided to the user of the electronic record as a banner, ribbon or pop-up window that overlays or “floats” over the electronic record. The user can interact with the ribbon to obtain the additional information or ignore the ribbon and the ribbon can be hidden automatically. The ribbon can be launched in response to the user accessing a specific screen or page of the electronic record. The ribbon can provide the user with the additional information that is related to the current screen or page of the electronic record. The additional information can include information obtained from other sources that is not part of the electronic record and calculations and metrics that are not part of the electronic record.

Abstract: Systems and methods are provided to supplement an electronic record with additional information related to the electronic record. The additional information is provided to the user of the electronic record as a banner, ribbon or pop-up window that overlays or “floats” over the electronic record. The user can interact with the ribbon to obtain the additional information or ignore the ribbon and the ribbon can be hidden automatically. The ribbon can be launched in response to the user accessing a specific screen or page of the electronic record. The ribbon can provide the user with the additional information that is related to the current screen or page of the electronic record. The additional information can include information obtained from other sources that is not part of the electronic record and calculations and metrics that are not part of the electronic record.

Abstract: Systems and methods are provided to supplement an electronic record with additional information related to the electronic record. The additional information is provided to the user of the electronic record as a banner, ribbon or pop-up window that overlays or “floats” over the electronic record. The user can interact with the ribbon to obtain the additional information or ignore the ribbon and the ribbon can be hidden automatically. The ribbon can be launched in response to the user accessing a specific screen or page of the electronic record. The ribbon can provide the user with the additional information that is related to the current screen or page of the electronic record. The additional information can include information obtained from other sources that is not part of the electronic record and calculations and metrics that are not part of the electronic record.

Abstract: Disclosed is a method and system for analyzing patient hospitalization data to determine a Nosocomial Infection Marker (NIM), the method comprising receiving from a database hospitalization data associated with at least one patient, calculating from the hospitalization data the number of specimens with non-duplicate hospital isolates (SNDHI) markers, calculating from the hospitalization data antibiotic utilization criteria (AUC) markers, and determining the nosocomial infection marker (NIM) for each patient, based upon the calculated. SNDHI and AUC markers.

Abstract: A method of determining an Antibiotic Utilization Criteria (AUC) marker includes assigning an AUC=1 to a patient if certain criteria are met: (1) antimicrobials were first dispensed to the patient after an initial number of days has passed since the patient's admission to a hospital, and either (2a) the antimicrobials were dispensed to the patient for a determined number of consecutive days after the day of first dispense, or (2b) the antimicrobials were dispensed to the patient on consecutive days after the day of first dispense up to and including the day on which the patient either was discharged or died. If criteria (1) is not satisfied or both of alternate criteria (2a) and (2b) are not satisfied, an AUC=0 is assigned to the patient.

Abstract: Disclosed is a method and system for analyzing patient hospitalization data to determine a Nosocomial Infection Marker (NIM), the method comprising receiving from a database hospitalization data associated with at least one patient, calculating from the hospitalization data the number of specimens with non-duplicate hospital isolates (SNDHI) markers, calculating from the hospitalization data antibiotic utilization criteria (AUC) markers, and determining the nosocomial infection marker (NIM) for each patient, based upon the calculated. SNDHI and AUC markers.

Abstract: Disclosed is a method and system for analyzing patient hospitalization data to determine a Nosocomial Infection Marker (NIM), the method comprising receiving from a database hospitalization data associated with at least one patient, calculating from the hospitalization data the number of specimens with non-duplicate hospital isolates (SNDHI) markers, calculating from the hospitalization data antibiotic utilization criteria (AUC) markers, and determining the nosocomial infection marker (NIM) for each patient, based upon the calculated SNDHI and AUC markers.

Abstract: Disclosed is a method and system for analyzing patient hospitalization data to determine a Nosocomial Infection Marker (NIM), the method comprising receiving from a database hospitalization data associated with at least one patient, calculating from the hospitalization data the number of specimens with non-duplicate hospital isolates (SNDHI) markers, calculating from the hospitalization data antibiotic utilization criteria (AUC) markers, and determining the nosocomial infection marker (NIM) for each patient, based upon the calculated SNDHI and AUC markers.