Jan Stanek

Research Interests

Artificial Intelligence Business analytics Digital health Health Informatics Health informatics and information systems Medical Informatics Other biomedical and clinical sciences

Teaching Strengths

Health informatics
Health data analytics
Artificial intelligence in health
Business Intelligence and Analytics

Dr Jan Stanek

Program Director

School of Computer Science and Information Technology

College of Engineering and Information Technology

Eligible to supervise Masters and PhD - email supervisor to discuss availability.

Available For Media Comment.

MUDr. Jan Stanek is an expert in Digital Health/Health Informatics and Clinical Informatics now leading the Clinical Informatics theme in the Industrial AI Research Centre at the Adelaide University. Dr. Stanek has extensive interdisciplinary experience ranging from chemistry/biochemistry, clinical medicine (qualified in internal medicine, taking roles of senior consultant in tertiary hospital in Bratislava, founding Head of Department of Clinical Nutrition in a teaching hospital in Bratislava pioneering enteral nutrition and total parenteral nutrition in cardiorespiratory ICU, teaching advanced courses in Special nutrition at Postgradual Academy of Medicine in Bratislava); Clinical artificial intelligence (pioneered introduction of AI system into clinical medicine in Central Europe;  leading the Health informatics/Digital Health themes in the Advanced Computing Research Centre, UniSA); through to Clinical database design, health data extraction and advanced data analytics in health (especially process mining in health context).

Date Position Institution name
2001 - ongoing Lecturer/researcher University of South Australia

Language Competency
Czech Can read, write, speak, understand spoken and peer review
English Can read, write, speak, understand spoken and peer review
French Can read, write, speak and understand spoken
German Can read, write, speak, understand spoken and peer review
Russian Can read, write, speak, understand spoken and peer review
Slovak Can read, write, speak, understand spoken and peer review

Date Institution name Country Title
1974 - 1981 Comenius University Slovakia MUDr (Doctor of Medicine)

Date Title Institution Country
1995 Attestation 2nd grade (internal medicine) Postgraduate Academy of Medicine Slovakia
1990 Specialization in biomedical cybernetics (medical informatics) Postgraduate Academy of Medicine Slovakia
1986 Attestation 1st grade (internal medicine) Postgraduate Academy of Medicine Slovakia

Date Title Institution name Country
2020 FAIDH Australasian Institute of Digital Heath Australia
2014 FACHI Australasian College of Health Informatics Australia
1995 Certified in Clinical Nutrition ESPEN (European Society for Parenteral and Enteral Nutrition) Slovakia

Year Citation
2026 Gupta, G., Stanek, J., Mayer, W., Grossmann, G., & Stumptner, M. (2026). VarDiff: A Conceptual Model for Representing Variable Differences Between Clinical Decision Support Systems. Applied Sciences Switzerland, 16(7), 3331.
DOI
2025 Gupta, G., Stanek, J., Mayer, W., & Grossmann, G. (2025). Clinical decision support systems redeployment - levels of matching between variables in different ecosystems. Studies in Health Technology and Informatics, 329, 1630-1631.
DOI
2022 Lim, R., Thornton, C., Stanek, J., Ellett, L. K., & Thiessen, M. (2022). Development of a Web-Based System to Report Medication-Related Adverse Effects: Design and Usability Study. Jmir Formative Research, 6(10), 10 pages.
DOI Scopus6 WoS5 Europe PMC4
2016 Stanek, J., Babkin, E., & Zubov, M. (2016). A new approach to configurable primary data collection. Computer Methods and Programs in Biomedicine, 133(133), 169-181.
DOI Scopus1 WoS2
2007 Gadzhanova, S., Iankov, I., Warren, J., Stanek, J., Misan, G., Baig, M., & Ponte, L. (2007). Developing high-specificity anti-hypertensive alerts by therapeutic state analysis of electronic prescribing records. Journal of the American Medical Informatics Association, 14(1), 100-109.
DOI Scopus6 WoS4 Europe PMC2
2006 Warren, J. R., Stanek, J., Gadzhanov, S. V., Iankov, I. I., & Misan, G. M. (2006). Inferring 'Therapeutic States' of Patients from Community Electronic Prescribing Data. Electronic Journal of Health Informatics, 1(1), 8 pages.
WoS2
2006 Ma, C., Warren, J. R., Phillips, P., & Stanek, J. (2006). Empowering patients with essential information and communication support in the context of diabetes. International journal of medical informatics, 75(8), 577-596.
DOI Scopus34 Europe PMC23
2002 Ma, C., May, L. S., Mugford, C., Zimny, D. J., Stanek, J., & Warren, J. R. (2002). A complete diabetes patient profile for consumer partnership in care. Informatics in Primary Care: Best Practice in Healthcare Informatics Delivery.
2002 Gadzhanov, S. V., Stanek, J., & Warren, J. R. (2002). Clinical user interfaces that learn from experience. Informatics in Primary Care: Best Practice in Healthcare Informatics Delivery.
1998 Klimes, I., Mitková, A., Gasperíková, D., Ukropec, J., Líska, B., Bohov, P., . . . Seböková, E. (1998). The effect of the new oral hypoglycemic agent A-4166 on glucose turnover in the high fat diet-induced and or in the hereditary insulin resistance of rats. ARCHIVES OF PHYSIOLOGY AND BIOCHEMISTRY, 106(4), 325-332.
DOI WoS7

Year Citation
2024 Gupta, G., Stanek, J., Mayer, W., & Grossmann, G. (2024). Adaptive semantic framework for CDSS to a new environment. In D. Abramson, S. Vassar, & C. Jin (Eds.), ACM International Conference Proceeding Series (pp. 75-77). US: ACM.
DOI Scopus3
2022 Hoang, T., Grossmann, G., Stanek, J., & Stumptner, M. (2022). Challenges in discovering patient journey processes. In ACM International Conference Proceeding Series (pp. 216-223). US: Association for Computing Machinery.
DOI Scopus2 WoS2
2018 Rayner, M., Tsourakis, N., & Stanek, J. (2018). A robust context-dependent speech-to-speech phraselator toolkit for AlexA. In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH Vol. 2018-September (pp. 175-176). France: International speech communication association.
DOI
2008 Stanek, J., & Symon, B. (2008). SNOMED-CT coding in general practice - barriers and opportunities. In HIC 2008 Australia's health informatics conference, The person in the centre (pp. 1-5). Australia: Health Informatics Society of Australia.
2007 Stanek, J., & Davy, M. J. (2007). Guideline-based visualization of medication in chronic disease. In MEDINFO 2007 : proceedings of the 12th world congress on health (medical) informatics : building sustainable health systems Vol. 129 (pp. 1475-1477). Netherlands: IOS Press.
Scopus1
2007 Angley, M. T., Hewton, C. E., Paterson, F., Semple, S. J., Ellis, D., Chan, W. S. W., . . . Stanek, J. (2007). Quality use of conventional and complementary medicines in autism. In A world of possibilities. UK: Autismeforeningen i Norge.
2007 Gu, Y., Warren, J., & Stanek, J. (2007). Managing knowledge in the human genetic variation (HGV) testing context. In S. Shen, & W. W (Eds.), Computer Supported Cooperative Work in Design III Vol. 4402 LNCS (pp. 549-560). Germany: Springer.
DOI
2006 Gu, Y., Warren, J. R., Stanek, J., & Suthers, G. (2006). A system architecture design for knowledge management (KM) in medical genetic testing (MGT) laboratories. In Proceedings of the 10th international conference on computer supported cooperative work in design (pp. 805-810). United States: IEEE.
DOI Scopus7
2006 Angley, M. T., Ellis, D., Chan, W. S. W., Grzeskowiak, L., Shirzadi, K., Phillips, A. J., & Stanek, J. (2006). Quality use of antipsychotic medications in children and adolescents. In Proceedings of the australasian pharmaceutical science association annual conference 2006. NA: APSA.
2005 Warren, J., Gadzhanova, S., Stanek, J., & Iankov, I. I. (2005). Understanding caseload and practice through analysis of therapeutic state transitions. In AMIA 2005 Vol. 2005 (pp. 784-788). USA: American Medical Informatics Association.
Scopus4 Europe PMC1
2005 Stanek, J., Iankov, I. I., Gadzhanov, S. V., Warren, J. R., & Misan, G. M. H. (2005). Guideline-based general practice data mining. In HIC 2005 Proceedings: The Thirteenth Annual Health Informatics Conference. Australia: Health Informatics Society of Australia.
2005 Ma, C., Warren, J. R., Stanek, J., & Phillips, P. (2005). An adaptive profile driven consumer education web portal for diabetes. In Proceedings of the 38th Hawaii international conference on system sciences (pp. 139c). United States: IEEE.
DOI
2005 Ma, C., Warren, J. R., & Stanek, J. (2005). A new concept electronic health record to support patient self-management. In HIC 2005 Proceedings: The Thirteenth Annual Health Informatics Conference. Australia: Health Informatics Society of Australia.
2003 Ma, C., Warren, J. R., & Stanek, J. (2003). Adaptive filtering and prioritising of diabetes consumer information for promoting consumer-provider partnership and communication. In M. Musen (Ed.), American Medical Informatics Association 2003 Proceedings: Biomedical and Health Informatics: From Foundations to Applications Vol. 2003 (pp. 921). USA: Americal Medical Informatics Association.
2003 Ma, C., Warren, J. R., Stanek, J., Phillips, P., & Logmans, C. (2003). 'The right information at the right time' - for the person with diabetes. In E. Simpson (Ed.), Proceedings of the Combined Conferences of the Eleventh National Health Informatics Conference and Twelfth National RACGP Computer Conference. Australia: Health Informatics Society of Australia & Royal College of General Practitioners.
2003 Warren, J. R., Stanek, J., Gadzhanova, S. V., & Misan, G. M. H. (2003). General practice data mining - making the best of practical and fundamental limitations. In E. Simpson (Ed.), Proceedings of the Eleventh National Health Informatics Conference and Twelfth National RACGP Computer Conference. Australia: Health Informatics Society of Australia Ltd and Royal Australian College of General Practitioners.
1998 Klimes, I., Seböková, E., Lìska, B., Ukropec, J., Gasperìková, D., Stanek, J., & Bergene, E. (1998). The in vivo effect of the new oral hypoglycemic agent, A-4166, on glucose turnover in high fed feeding-induced and/or in hereditary insulin resistance of rats. In DIABETES Vol. 47 (pp. A422). AMER DIABETES ASSOC.
  • DHCRC-0156: A Predictive Harm Response Management algorithmic tool to reduce adverse events in healthcare setting, Digital Health CRC, 20/07/2021 - 31/12/2025

Courses I teach

  • INFS 5135 Advanced Business Intelligence and Analytics (2025)
  • INFT 4018 Health Informatics (2025)
  • INFT 4019 Special Topics in Health Informatics (2025)
  • INFT 5021 Capstone Professional Project (2025)
  • INFS 5135 Advanced Business Intelligence and Analytics (2024)
  • INFT 4018 Health Informatics (2024)
  • INFT 4019 Special Topics in Health Informatics (2024)

Date Role Research Topic Program Degree Type Student Load Student Name
2025 Co-Supervisor An end-to-end GenAI-driven system for domain modelling and code generation Master of Research (Computer and Info Sci) Master Full Time Ms Ying Zhu
2025 Co-Supervisor A data driven framework for predicting readmission risk in adults with multimorbidity Doctor of Philosophy Doctorate Full Time Dr Sahan Perera
2023 Principal Supervisor Hybrid clinical decision support system in health care Doctor of Philosophy Doctorate Full Time Mr Gourav Gupta

Date Role Board name Institution name Country
2009 - 2025 Board Member SA Branch Board Australasian Institute for Digital Health (before - Health Information Society of Australasia) Australia

Date Role Committee Institution Country
2021 - ongoing Member Heart failure subcommittee Commission on Excellence and Innovation in Health Australia

Date Role Membership Country
1995 - ongoing Member IEEE -

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