Method for measuring the incidence of hospital acquired infections

• US 8,060,317 B2
• Filed: 11/14/2007
• Issued: 11/15/2011
• Est. Priority Date: 07/27/2004
• Status: Active Grant

• Current Assignee: Carefusion 303 Incorporated (Becton, Dickinson & Co)
• Original Assignee: Carefusion 303 Incorporated (Becton, Dickinson & Co)
• Inventors: LaBorde, Gerald T. Jr., Brossette, Stephen E., Hymel, Patrick A. Jr.
• Primary Examiner(s): BORIN, MICHAEL L
• Application Number:
  US11/939,619
• Publication Number:
  US 20080183397A1
• Time in Patent Office: 1,462 Days
• Field of Search: None
• US Class Current: 702/19
• CPC Class Codes: G06Q 10/063 Operations research, analysis or management
• CPC Class Codes: G06Q 50/00 Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism healthcare informatics G16H
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 20/13 delivered from dispensers
• CPC Class Codes: G16H 40/20 for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
• CPC Class Codes: G16H 50/80 for detecting, monitoring or modelling epidemics or pandemics, e.g. flu
• CPC Class Codes: Y02A 90/10 Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

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.

Claims

1. A computer-readable non-transitory medium having computer-executable instructions stored thereon for execution by a processor to perform a method for analyzing patient hospitalization data to determine a Nosocomial Infection Marker (NIM), the method comprising the steps of:

receiving from a database hospitalization data associated with at least one patient;

identifying from the hospitalization data a number of specimens with nonduplicate hospital isolates (SNDHI) markers through the steps of;

segregating a first isolate of a microorganism from a patient obtained during a determined first period of time;

eliminating additional isolates of the same microorganism from the patient obtained within the determined first period of time when the additional isolates were not tested against antimicrobial drugs;

eliminating each additional isolate of the same microorganism from the patient obtained within the determined first period of time when the additional isolate was tested against antimicrobial drugs and an interpreted antimicrobial susceptibility result of the test differs from the first isolate on fewer than a predetermined number of drugs;

identifying hospital isolates; and

assigning a SNDHI marker to each hospital isolate; and

determining the NIM for each patient, wherein the NIM is equal to the sum of the SNDHI markers for the patient.

2. The non-transitory medium of claim 1, wherein the step of identifying the number of SNDHI markers further comprises the step of eliminating isolates associated with specimen contamination.

3. The non-transitory medium of claim 2, wherein the step of eliminating isolates associated with specimen contamination comprises eliminating isolates of any of the set of coagulase-negative staphylococci from respiratory specimens, viridans group streptococci from respiratory specimens, Candida species from respiratory specimens, Aspergillus species from upper respiratory specimens, coagulase-negative Staphylococcus species, Bacillus species, corynebacteria species, diptheroids isolated from broth or liquid laboratory culture media, isolates in which no microorganism species is named, isolates obtained from decubitus specimens, and isolates obtained from species that grow over a predetermined number of distinct microorganisms.

4. The non-transitory medium of claim 1, wherein the patient hospitalization data comprises the results of laboratory analysis of specimens from the patient.

5. The non-transitory medium of claim 1, wherein the patient hospitalization data comprises pharmacy ordering and dispensing data.

6. The non-transitory medium of claim 1, wherein the patient hospitalization data comprises patient census data.

7. The non-transitory medium of claim 1, wherein the patient hospitalization data comprises Admit-Transfer-Discharge data.

8. The non-transitory medium of claim 1, further comprising the step of displaying results of NIM determination.

9. The non-transitory medium of claim 1, wherein the step of identifying the number of SNDHIs further comprises eliminating isolates associated with surveillance.

10. The non-transitory medium of claim 9, wherein the step of eliminating isolates associated with surveillance comprises eliminating isolates from specimens collected when no infection at the specimen source is suspected.

11. The non-transitory medium of claim 1, wherein the step of calculating the number of further comprises eliminating isolates associated with non-infected clinical states.

12. The non-transitory medium of claim 11, wherein the step of eliminating isolates associated with non-infected clinical states comprises eliminating any of the set of isolates from bloodstream catheter tips that are not also obtained from blood culture, environmental specimens, isolates from gynecology specimens excluding surgical wounds, isolates from dermatology specimens, and urine isolates that yield fewer than 10,000 colonies/cc of urine.

13. The non-transitory medium of claim 1, wherein the step of identifying hospital isolates comprises identifying isolates obtained from specimens collected from a patient after the patient has been in the hospital for a determined second continuous period of time.

14. The non-transitory medium of claim 1, wherein the step of identifying hospital isolates comprises identifying isolates obtained from specimens collected from a patient who has been a hospitalized patient at least once within a determined third period of time prior to specimen collection.