Comparison of two computer algorithms to identify surgical site infections. - sprookjes - yvandenbroek - TriplyDB

Comparison of two computer algorithms to identify surgical site infections.

Comparison of two computer algorithms to identify surgical site infections.

http://www.wikidata.org/entity/Q35757711

about

Accuracy of administrative data for surveillance of healthcare-associated infections: a systematic review Data elements and validation methods used for electronic surveillance of health care-associated infections: a systematic review Incidence and risk factors for and the effect of a program to reduce the incidence of surgical site infection after cardiac surgery.Challenges Associated With Using Large Data Sets for Quality Assessment and Research in Clinical Settings.Prevalence and risk factors for antibiotic-resistant community-associated bloodstream infections.The role of pre-operative and post-operative glucose control in surgical-site infections and mortality Utility of Electronic Medical Records to Assess the Relationship Between Parenteral Nutrition and Central Line-Associated Bloodstream Infections in Adult Hospitalized Patients.Studies on nurse staffing and health care-associated infection: methodologic challenges and potential solutions.A Web-Based, Hospital-Wide Health Care-Associated Bloodstream Infection Surveillance and Classification System: Development and Evaluation.Gender differences in risk of bloodstream and surgical site infections.Time-saving impact of an algorithm to identify potential surgical site infections.Matching bacteriological and medico-administrative databases is efficient for a computer-enhanced surveillance of surgical site infections: retrospective analysis of 4,400 surgical procedures in a French university hospital.Electronic Surveillance of Surgical Site Infections.Trends in mortality, length of stay, and hospital charges associated with health care-associated infections, 2006-2012.Changes in the incidence and antimicrobial susceptibility of healthcare-associated infections in a New York hospital system, 2006-2012.

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P2860

Comparison of two computer algorithms to identify surgical site infections.

http://www.wikidata.org/entity/Q35757711

description

2011 nî lūn-bûn

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2011年の論文

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2011年論文

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2011年論文

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2011年論文

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2011年論文

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2011年論文

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2011年论文

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2011年论文

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2011年论文

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name

Comparison of two computer algorithms to identify surgical site infections.

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Comparison of two computer algorithms to identify surgical site infections.

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type

label

Comparison of two computer algorithms to identify surgical site infections.

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Comparison of two computer algorithms to identify surgical site infections.

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prefLabel

Comparison of two computer algorithms to identify surgical site infections.

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Comparison of two computer algorithms to identify surgical site infections.

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Surgical Infections

P1476

Comparison of two computer algorithms to identify surgical site infections.

@en

P2093

Elaine Larson

http://www.w3.org/2001/XMLSchema#string

Mandar Apte

http://www.w3.org/2001/XMLSchema#string

Sandra Hyman

http://www.w3.org/2001/XMLSchema#string

Timothy Landers

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Yoko Furuya

http://www.w3.org/2001/XMLSchema#string

P2860

Can administrative data be used to compare postoperative complication rates across hospitals?

Administrative coding data, compared with CDC/NHSN criteria, are poor indicators of health care-associated infections.

Efficient identification of postdischarge surgical site infections: use of automated pharmacy dispensing information, administrative data, and medical record information.

Automated detection of infectious disease outbreaks in hospitals: a retrospective cohort study.

CMS changes in reimbursement for HAIs: setting a research agenda.

Health and economic impact of surgical site infections diagnosed after hospital discharge.

A comparison of competing methods for the detection of surgical-site infections in patients undergoing total arthroplasty of the knee, partial and total arthroplasty of hip and femoral or similar vascular bypass.

Linkage of microbiology reports and hospital discharge diagnoses for surveillance of surgical site infections.

Validity of electronic surveillance systems: a systematic review.

Automated surveillance of health care-associated infections.

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459-464

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scholarly article

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10.1089/SUR.2010.109

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6

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12

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2011-12-02T00:00:00Z

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51848718

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22136489

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