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Information technology aspects of large-scale implementation of automated surveillance of healthcare-associated infections

Behnke, Michael (författare)
Charite Univ Med Berlin, Natl Reference Ctr Surveillance Nosocomial Infect, Hindenburgdamm 27, D-12203 Berlin, Germany.;Free Univ Berlin, Hindenburgdamm 27, D-12203 Berlin, Germany.;Humboldt Univ, Inst Hyg & Environm Med, Hindenburgdamm 27, D-12203 Berlin, Germany.
Valik, John Karlsson (författare)
Karolinska Institutet
Gubbels, Sophie (författare)
Statens Serum Inst, Data Integrat & Anal Secretariat, Copenhagen, Denmark.
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Teixeira, Daniel (författare)
Geneva Univ Hosp, Infect Control Programme, Geneva, Switzerland.
Kristensen, Brian (författare)
Statens Serum Inst, Dept Infect Dis Epidemiol & Prevent, Copenhagen, Denmark.
Abbas, Mohamed (författare)
Geneva Univ Hosp, Infect Control Programme, Geneva, Switzerland.
van Rooden, Stephanie M. (författare)
Univ Med Ctr Utrecht, Julius Ctr Hlth Sci & Primary Care, Utrecht, Netherlands.;Natl Inst Publ Hlth & Environm RIVM, Ctr Infect Dis Epidemiol & Surveillance, Bilthoven, Netherlands.
Gastmeier, Petra (författare)
Charite Univ Med Berlin, Natl Reference Ctr Surveillance Nosocomial Infect, Hindenburgdamm 27, D-12203 Berlin, Germany.;Free Univ Berlin, Hindenburgdamm 27, D-12203 Berlin, Germany.;Humboldt Univ, Inst Hyg & Environm Med, Hindenburgdamm 27, D-12203 Berlin, Germany.
van Mourik, Maaike S. M. (författare)
Univ Med Ctr Utrecht, Dept Med Microbiol & Infect Control, Utrecht, Netherlands.
Tängdén, Thomas (bidragsgivare)
Uppsala universitet,Infektionsmedicin
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Karolinska Institutet Charite Univ Med Berlin, Natl Reference Ctr Surveillance Nosocomial Infect, Hindenburgdamm 27, D-12203 Berlin, Germany;Free Univ Berlin, Hindenburgdamm 27, D-12203 Berlin, Germany.;Humboldt Univ, Inst Hyg & Environm Med, Hindenburgdamm 27, D-12203 Berlin, Germany. (creator_code:org_t)
Elsevier, 2021
2021
Engelska.
Ingår i: Clinical Microbiology and Infection. - : Elsevier. - 1198-743X .- 1469-0691. ; 27:Suppl 1, s. S29-S39
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • Introduction: Healthcare-associated infections (HAI) are a major public health concern. Monitoring of HAI rates, with feedback, is a core component of infection prevention and control programmes. Digitalization of healthcare data has created novel opportunities for automating the HAI surveillance process to varying degrees. However, methods are not standardized and vary widely between different healthcare facilities. Most current automated surveillance (AS) systems have been confined to local settings, and practical guidance on how to implement large-scale AS is needed. Methods: This document was written by a task force formed in March 2019 within the PRAISE network (Providing a Roadmap for Automated Infection Surveillance in Europe), gathering experts in HAI surveillance from ten European countries. Results: The document provides an overview of the key e-health aspects of implementing an AS system of HAI in a clinical environment to support both the infection prevention and control team and information technology (IT) departments. The focus is on understanding the basic principles of storage and structure of healthcare data, as well as the general organization of IT infrastructure in surveillance networks and participating healthcare facilities. The fundamentals of data standardization, interoperability and algorithms in relation to HAI surveillance are covered. Finally, technical aspects and practical examples of accessing, storing and sharing healthcare data within a HAI surveillance network, as well as maintenance and quality control of such a system, are discussed. Conclusions: With the guidance given in this document, along with the PRAISE roadmap and governance documents, readers will find comprehensive support to implement large-scale AS in a surveillance network.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Infektionsmedicin (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Infectious Medicine (hsv//eng)

Nyckelord

Automated
Bloodstream infection
Data
Digital infection control
Electronic HAI surveillance
Electronic health record
Healthcare-associated infection
Quality
Surgical site infection
Surveillance

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