J.H.F. (Jacobien) Oosterhoff
J.H.F. (Jacobien) Oosterhoff
Profile
Expertise
Jacobien focuses on AI in Healthcare Systems. Many promising data-driven and algorithmic applications are being developed in healthcare systems, but unlocking the power of these clinical algorithms and their usefulness requires an interdisciplinary approach that goes beyond the walls of a hospital building.
- Evaluation of algorithmic applications in a dynamic sociotechnical system
- Integration in the health information systems architecture
Biography
Jacobien Oosterhoff is an Assistant Professor in Artificial Intelligence for Healthcare Systems, in the Faculty Technology Policy and Management (ESS-ICT). She completed her medical school (MD) at the University of Amsterdam, and subsequently conducted PhD research in the Dept. of Orthopaedic Surgery from the Amsterdam University Medical Center - Location AMC. Jacobien has gained extensive research experience from working as a research fellow at Flinders University (Adelaide, Australia) and at Harvard Medical School (Boston, MA USA). Her PhD is titled: 'Artificial Intelligence in Orthopaedic Trauma Surgery: the Hype and the Hips' which she conducted at the Faculty of Medicine at the University of Amsterdam.
Research interests
Jacobien focuses on AI in Healthcare Systems, aiming to answer the following question: 'Why do so many promising applications have yet to be adopted in patients' clinical care or doctors' workflow?'
Many promising data-driven and algorithmic applications are being developed in healthcare systems, but unlocking the power of these clinical algorithms and their usefulness requires an interdisciplinary approach that goes beyond the walls of a hospital building.
Academic background
Jacobien Oosterhoff is an Assistant Professor in Artificial Intelligence for Healthcare Systems, in the Faculty Technology Policy and Management (ESS-ICT). She completed her medical school (MD) at the University of Amsterdam, and subsequently conducted PhD research in the Dept. of Orthopaedic Surgery from the Amsterdam University Medical Center - Location AMC. Jacobien has gained extensive research experience from working as a research fellow at Flinders University (Adelaide, Australia) and at Harvard Medical School (Boston, MA USA). Her PhD is titled: 'Artificial Intelligence in Orthopaedic Trauma Surgery: the Hype and the Hips' which she conducted at the Faculty of Medicine at the University of Amsterdam.
Expertise
Publications
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2024
Charting a new course in healthcare
early-stage AI algorithm registration to enhance trust and transparency
Michel E. van Genderen / Davy van de Sande / Lotty Hooft / Andreas Alois Reis / Alexander D. Cornet / Jacobien H.F. Oosterhoff / Björn J.P. van der Ster / Diederik Gommers / Jeroen van den Hoven / More Authors -
2024
Machine Learning Did Not Outperform Conventional Competing Risk Modeling to Predict Revision Arthroplasty
Jacobien H.F. Oosterhoff / Anne A.H. de Hond / Rinne M. Peters / Liza N. van Steenbergen / Juliette C. Sorel / David Ring / Paul C. Jutte / Gino M.M.J. Kerkhoffs / Hein Putter / Job N. Doornberg / More Authors
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2024
Methodology and development of a machine learning probability calculator
Data heterogeneity limits ability to predict recurrence after arthroscopic Bankart repair
/ Sanne H. van Spanning / Lukas P.E. Verweij / Laurent A.M. Hendrickx / Laurens J.H. Allaart / George S. Athwal / Jacobien H.F. Oosterhoff / L. A. Rossi / A. Barrow / et. al. -
2024-1
Systematic review of machine-learning models in orthopaedic trauma an overview and quality assessment of 45 studies
/ H. Dijkstra / A. van de Kuit / T. de Groot / O. Canta / O. Q. Groot / J. H.F. Oosterhoff / J. N. Doornberg
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2024
To warrant clinical adoption AI models require a multi-faceted implementation evaluation
Davy van de Sande / Eline Fung Fen Chung / Jacobien Oosterhoff / Jasper van Bommel / Diederik Gommers / Michel E. van Genderen
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Courses 2024
Courses 2023
Media
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2021-12-31
Met machine learning op weg naar gepersonaliseerde geneeskunde bij de oudere kwetsbare patiënt met een gebroken heup?
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2021-11-03
AI-voorspellingsmodel voor gepersonaliseerde ouderenzorg