John Wallert

John Wallert

Assistant Professor | Docent
Visiting address: M48, Karolinska Universitetssjukhuset Huddinge, 14186 Stockholm
Postal address: K8 Klinisk neurovetenskap, K8 CPF Rück Wallert, 171 77 Stockholm
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About me

  • Docent, Assistant Professor, and Clinical Psychologist at Karolinska Institutet. Team Leader for Team Modelling in Rück Research group. Course Leader for the free-standing KI course "Artificial Intelligence in Mental Healthcare".

Research

  • My research interests include causal modelling, predictive modelling, machine learning, psychiatry, behavioural genetics, involuntary care, psychological interventions, diagnostics, suicidology, behavioural cardiology, psychometrics, cognition, intelligence, aging, neuropsychological assessment, mental chronometry, evolutionary psychology, music, and entrainment. 

Articles

All other publications

Grants

  • A population-based risk calculator for adverse outcomes after discharge from involuntary psychiatric care
    CIMED
    1 January 2025 - 1 December 2027
  • Swedish Research Council for Health Working Life and Welfare
    1 January 2025 - 31 December 2027
    Research problem and specific questionsSuicide prevention is a high-priority public health goal. Assessing patients´ suicide risk is a basis for clinical decisions in psychiatry, including decisions about involuntary care. However, there is currently a lack of clear evidence on how suicide risk should be assessed and how risk assessments should be used, leading to uncertainty and possible inequality in clinical assessments and decisions.- How are suicide risk assessments conducted and what basis do they provide for clinical decisions, including decisions about involuntary care?- How do patients perceive suicide risk assessments and what is their view on the role of suicide risk assessments in psychiatry?- How do judges perceive suicide risk assessments and what relevance do they have for court decisions regarding involuntary psychiatric care?- How should suicide risk assessments be conducted and how should they be used in healthcare?Data and methods1) Interviews with psychiatrists about how they conduct suicide risk assessments and how they use their assessments. The data will be analyzed using qualitative content analysis.2) Interviews with patients about their experiences and views of suicide risk assessments. We will use thematic analysis to analyse the data.3) A survey study based on case vignettes and questions on suicide risk assessments and involuntary psychiatric care. The survey will be sent to Swedish psychiatrists. We will use descriptive and inferential methods to analyze the results.4) Focus group interviews with judges in the Administrative Courts regarding suicide risk as a reason for involuntary psychiatric care. We will use qualitative content analysis to analyze the data. 5) Ethical analysis based on studies 1-4 and current research on suicide prediction. The aim is to present an analysis and an ethical framework to guide assessments of suicide risk in healthcare.Social Relevance and utilisationThe overarching goal of the project is to provide a basis for evidence-based, clinically meaningful, equal, and patient-centered assessments of suicide risk.Plan for project realisationThe project will be conducted over three years by an interdisciplinary research team that includes expertise in psychiatry, medical ethics, and law. We intend to publish the results in the form of research articles and also to develop a framework for suicide risk assessments to be used as decision support in healthcare
  • PRiMED: Predicting Response after cognitive behaviour therapy in MEntal Disorders using multimodal data and machine learning
    The Söderström König Foundation
    1 January 2023 - 31 July 2025
  • PRiSMED: Prediction of health and socioeconomic outcomes for patients with common psychiatric disorders
    CIMED
    1 January 2022 - 31 December 2024
  • Exhaustion disorder - a survey
    Region Stockholm
    1 January 2022 - 31 December 2024
  • Swedish Research Council for Health Working Life and Welfare
    1 January 2022 - 31 December 2024
  • The Swedish Research Council (Vetenskapsrådet)
    1 December 2021 - 30 November 2024
  • Swedish Research Council
    1 January 2021 - 31 December 2021
  • Swedish Research Council for Health Working Life and Welfare
    1 January 2020 - 31 December 2022
  • PRiMED: Predicting Response after cognitive behaviour therapy in MEntal Disorders using multimodal data and machine learning
    The Söderström König Foundation
    1 January 2020 - 31 December 2022

Employments

  • Assistant Professor, Department of Clinical Neuroscience, Karolinska Institutet, 2022-2027
  • Assistant Professor, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 2022-2026

Degrees and Education

  • Docent, Karolinska Institutet, 2024

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