Complexity Medicine for Healthy Longevity (COMPMED)
Group Leader: Prof. Dr. med. Edouard Battegay
Group Members: Dr. Claudia Hackl-Zuccarella, Aliki Buhayer, B.Sc., Hanan Himoni, Bianca Wahrenberger, Monika Niederberger, M.Sc.
In the long term, evidence-based medicine, experience-based medicine, psychological aspects of decision-making and patient management by physicians, and Artificial Intelligence (AI) should be integrated to help frontline clinicians with common clinical challenges concerning DDIs. The focus of our group is on physician decision dynamics, based on:
- Evidence-based physician decision-making
- Physician experience-based decision-making
- Psychological aspects of physician decision-making
- Combined description, visualization, and mapping of the corresponding complexity of decision-making, also as a basis for test sets for Hybrid AI
- Consideration of developments in society and healthcare
Our group's innovation, science and support activities focus on the following objectives:
- Better representation of decision-making in complex situations
- Supporting decision makers at physician or systemic leadership level in the evolution of care for multimorbid patients or health system institutions
Projects
We initially focus on the cooccurrence of somatic disorders and mental illness, “somatopsychiatry”, because we gather that the deficits are greatest and have a major impact on longevity and quality of life, i.e., healthy longevity. Here is a selection of ongoing projects:
- Hypertension/Cardiovascular Disease and Depression
- Sleep Apnea and Post-Traumatic Stress Disorder
- Total Hip Replacement and Depression
- Persistent Postural-Perceptual Dizziness and Post-Traumatic Stress Disorder
- Parkinson’s Disease and Depression
- Parkinson’s Disease and Lumbar Stenosis
Links
International Center for Multimorbidity and Complexity
Google Scholar - Prof. Dr. Edouard Battegay
Selected Publications
Hefti R, Guemghar S, Battegay E, Mueller C, Koenig HG, Schaefert R, Meinlschmidt G. (2025). Do positive psychosocial factors contribute to the prediction of coronary artery disease? A UK Biobank-based machine learning approach. Eur J Prev Cardiol. https://pubmed.ncbi.nlm.nih.gov/39056264/
Bernabeu-Wittel M, Para O, Voicehovska J, Gómez-Huelgas R, Václavík J, Battegay E, Holecki M, van Munster BC, EFIM Multimorbidity Working Group. (2023). Competences of internal medicine specialists for the management of patients with multimorbidity. EFIM multimorbidity working group position paper. Eur J Intern Med. https://pubmed.ncbi.nlm.nih.gov/36653235/
Blatch Armon D, Buhayer A, Dobretz K, Meinlschmidt G, Battegay E. (2023). Clinical practice guidelines for cardiovascular disease: how is depression addressed? Protocol for a systematic review. BMJ Open. https://pubmed.ncbi.nlm.nih.gov/37130663/
Thienemann F, Ntusi NAB, Battegay E, Mueller BU, Cheetham M. (2020). Multimorbidity and cardiovascular disease: a perspective on low- and middle-income countries.
Cardiovasc Diagn Ther. https://pubmed.ncbi.nlm.nih.gov/32420119/
Roininen SM, Cheetham M, Mueller BU, Battegay E. (2019). Unmet challenges in treating hypertension in patients with borderline personality disorder: A systematic review. Medicine. https://pubmed.ncbi.nlm.nih.gov/31517840/