John Karlsson Valik - Infectious Diseases

Author Information

J. Valik, also known as John Valik or John Karlsson Valik, is affiliated with the Division of Infectious Diseases, Department of Medicine, Solna (MedS) at Karolinska Institutet, Stockholm, Sweden. His research work primarily focuses on infectious diseases, with a significant emphasis on healthcare-associated infections and sepsis surveillance.

Research Contributions

John Valik has made substantial contributions to the field of infectious diseases, particularly in the development and validation of automated systems for the surveillance of healthcare-associated infections. His research includes evaluating the impact of the COVID-19 pandemic on hospital-onset bloodstream infections, exploring information technology aspects of infection surveillance, and assessing treatment strategies for Pseudomonas aeruginosa bacteremia. His work is noted for integrating advanced technologies like deep learning for early sepsis prediction and improving infection surveillance across Europe.

Aliases

John Valik is also known by the names John Karlsson Valik and John Valik, which are used interchangeably in various publications and professional settings.

Publication and Citation Metrics

Metric	Value
Total Citation Count	179
H-Index	8
Total Paper Count	20

Publications:

Impact of the COVID-19 pandemic on the incidence and mortality of hospital-onset bloodstream infection: a cohort study

DOI: 10.1136/bmjqs-2021-014243

Year: 2022

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

DOI: 10.1016/j.cmi.2021.02.027

Year: 2021

Combination versus monotherapy as definitive treatment for Pseudomonas aeruginosa bacteraemia: a multicentre retrospective observational cohort study.

DOI: 10.1093/jac/dkab134

Year: 2021

The accuracy of fully-automated algorithms for surveillance of healthcare-associated urinary tract infections in hospitalized patients.

DOI: 10.1016/j.jhin.2021.01.023

Year: 2021

Peripheral Oxygen Saturation Facilitates Assessment of Respiratory Dysfunction in the Sequential Organ Failure Assessment Score With Implications for the Sepsis-3 Criteria

DOI: 10.1097/CCM.0000000000005318

Year: 2021

PRAISE: providing a roadmap for automated infection surveillance in Europe.

DOI: 10.1016/j.cmi.2021.02.028

Year: 2021

Validation of automated sepsis surveillance based on the Sepsis-3 clinical criteria against physician record review in a general hospital population: observational study using electronic health records data

DOI: 10.1136/bmjqs-2019-010123

Year: 2020

Deep Learning from Heterogeneous Sequences of Sparse Medical Data for Early Prediction of Sepsis

DOI: 10.5220/0008911400450055

Year: 2020

HAI-Proactive: Development of an Automated Surveillance System for Healthcare-Associated Infections in Sweden

DOI: 10.1017/ice.2020.519

Year: 2020

Risk factors for mortality among patients with Pseudomonas aeruginosa bacteremia - retrospective multicenter study.

DOI: 10.1016/j.ijantimicag.2019.11.004

Year: 2019

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