Method for measuring the incidence of hospital acquired infections by determining a Nosocomial Infection Marker
A method and a system for analyzing patient hospitalization data to determine a Nosocomial Infection Marker (NIM) are disclosed. The system comprises a database for storing patient hospitalization data; and a processor for performing the steps of receiving from a database hospitalization data associ...
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| creator | BROSSETTE, STEPHEN E |
| description | A method and a system for analyzing patient hospitalization data to determine a Nosocomial Infection Marker (NIM) are disclosed. The system comprises a database for storing patient hospitalization data; and a processor for performing the steps of 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; determining the nosocomial infection marker (NIM) for each patient, based upon the calculated SNDHI and AUC markers. Calculating the number of specimens with non-duplicate hospital isolates comprises eliminating duplicate isolates; eliminating isolates associated with specimen contamination; eliminating isolates associated with surveillance; eliminating isolates associated with non-infected clinical states; identifying hospital isolates; calculating the number of specimens with non-duplicate hospital isolates for each hospitalization; and assigning one SNDHI marker to each SNDHI determined. Calculating for each patient hospitalization antibiotic utilization criteria comprises identifying patient admits where antimicrobials were dispensed during the course of hospitalization; and assigning one AUC to each hospitalization identified in the previous step when antimicrobials were started on or after hospital day N, and were given for at least X consecutive days or until discharge or death wherein N is a number of days greater than 0 and wherein X is a number of days greater than 0. |
| format | Patent |
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The system comprises a database for storing patient hospitalization data; and a processor for performing the steps of 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; determining the nosocomial infection marker (NIM) for each patient, based upon the calculated SNDHI and AUC markers. Calculating the number of specimens with non-duplicate hospital isolates comprises eliminating duplicate isolates; eliminating isolates associated with specimen contamination; eliminating isolates associated with surveillance; eliminating isolates associated with non-infected clinical states; identifying hospital isolates; calculating the number of specimens with non-duplicate hospital isolates for each hospitalization; and assigning one SNDHI marker to each SNDHI determined. Calculating for each patient hospitalization antibiotic utilization criteria comprises identifying patient admits where antimicrobials were dispensed during the course of hospitalization; and assigning one AUC to each hospitalization identified in the previous step when antimicrobials were started on or after hospital day N, and were given for at least X consecutive days or until discharge or death wherein N is a number of days greater than 0 and wherein X is a number of days greater than 0.</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; ELECTRIC DIGITAL DATA PROCESSING ; HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA ; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS ; PHYSICS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><creationdate>2012</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20120224&DB=EPODOC&CC=NZ&NR=588315A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76516</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20120224&DB=EPODOC&CC=NZ&NR=588315A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>BROSSETTE, STEPHEN E</creatorcontrib><title>Method for measuring the incidence of hospital acquired infections by determining a Nosocomial Infection Marker</title><description>A method and a system for analyzing patient hospitalization data to determine a Nosocomial Infection Marker (NIM) are disclosed. The system comprises a database for storing patient hospitalization data; and a processor for performing the steps of 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; determining the nosocomial infection marker (NIM) for each patient, based upon the calculated SNDHI and AUC markers. Calculating the number of specimens with non-duplicate hospital isolates comprises eliminating duplicate isolates; eliminating isolates associated with specimen contamination; eliminating isolates associated with surveillance; eliminating isolates associated with non-infected clinical states; identifying hospital isolates; calculating the number of specimens with non-duplicate hospital isolates for each hospitalization; and assigning one SNDHI marker to each SNDHI determined. Calculating for each patient hospitalization antibiotic utilization criteria comprises identifying patient admits where antimicrobials were dispensed during the course of hospitalization; and assigning one AUC to each hospitalization identified in the previous step when antimicrobials were started on or after hospital day N, and were given for at least X consecutive days or until discharge or death wherein N is a number of days greater than 0 and wherein X is a number of days greater than 0.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA</subject><subject>INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS</subject><subject>PHYSICS</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2012</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqFy7EKwkAQhOE0FqK-guwLWEgIpBVRtEgqK5uw3s2ZxeQ23l0K394IWltN8X8zz7RCatWS00A9OI5B_J1SCxJvxMIbkDpqNQ6SuCM2z1EC7JQdTBL1kW4vskgIvfjPmanWqEZ7mfz5x6ji8EBYZjPHXcTqu4tsfTxc9qcNBm0QBzbwSE19Lcoy3xa7_C94A5SvQhA</recordid><startdate>20120224</startdate><enddate>20120224</enddate><creator>BROSSETTE, STEPHEN E</creator><scope>EVB</scope></search><sort><creationdate>20120224</creationdate><title>Method for measuring the incidence of hospital acquired infections by determining a Nosocomial Infection Marker</title><author>BROSSETTE, STEPHEN E</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_NZ588315A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2012</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA</topic><topic>INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS</topic><topic>PHYSICS</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>BROSSETTE, STEPHEN E</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>BROSSETTE, STEPHEN E</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Method for measuring the incidence of hospital acquired infections by determining a Nosocomial Infection Marker</title><date>2012-02-24</date><risdate>2012</risdate><abstract>A method and a system for analyzing patient hospitalization data to determine a Nosocomial Infection Marker (NIM) are disclosed. The system comprises a database for storing patient hospitalization data; and a processor for performing the steps of 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; determining the nosocomial infection marker (NIM) for each patient, based upon the calculated SNDHI and AUC markers. Calculating the number of specimens with non-duplicate hospital isolates comprises eliminating duplicate isolates; eliminating isolates associated with specimen contamination; eliminating isolates associated with surveillance; eliminating isolates associated with non-infected clinical states; identifying hospital isolates; calculating the number of specimens with non-duplicate hospital isolates for each hospitalization; and assigning one SNDHI marker to each SNDHI determined. Calculating for each patient hospitalization antibiotic utilization criteria comprises identifying patient admits where antimicrobials were dispensed during the course of hospitalization; and assigning one AUC to each hospitalization identified in the previous step when antimicrobials were started on or after hospital day N, and were given for at least X consecutive days or until discharge or death wherein N is a number of days greater than 0 and wherein X is a number of days greater than 0.</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | Method for measuring the incidence of hospital acquired infections by determining a Nosocomial Infection Marker |
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