dr. S. Haitjema

dr. S. Haitjema

Assistant Professor
dr. S. Haitjema
  • Department of Clinical Chemistry and Haematology

Research Programs

Circulatory Health



dr. Saskia Haitjema (1988) is an assistant professor at the Central Diagnostic Laboratory and head of the Utrecht Patient Oriented Database (UPOD). She studied Medicine and Linguistics at Utrecht University and obtained her PhD in Experimental cardiology in 2017. During her PhD she studied sex-differences in atherosclerotic cardiovascular disease using large datasets, as a first step in precision medicine.

Her current research focuses on improving diagnostics using data analytics to further personalize healthcare. She collaborates in multidisciplinary teams to address diagnostic problems inside and outside the UMC Utrecht, specifically using a unique set of routine hematology characteristics. The processing of routine care data into meaningful data to create value using the learning healthcare system approach is one of the cornerstones of her lab.

Between 2017 and 2020, dr. Haitjema co-lead the corporate Applied Data Analytics in Medicine program of the UMC Utrecht (now: Digital health department). She has supervised two PhD candidates (graduated 2017 and 2020) and currently supervises three. She obtained research funding from ZonMw, HealthHolland and participates in the H2020 ODIN on leveraging AI based technology to transform the future of healthcare delivery.

dr. Haitjema aims to actively connect data scientists, healthcare professionals and researchers and established a vibrant data science community in the UMC Utrecht in the SIG Clinical Data Applications of the Focus Area Applied Data Science of Utrecht University. She is involved in strategic meetings and expert panels on digital health inside and outside the UMC Utrecht. With the Dutch Ministry of Health she currently develops an AI development tool for healthcare, including legislation and state-of-the-art practices.

Side Activities

Product Owner 'Hulpmiddel Handelingsruimte', programma Waardevolle AI voor Gezondheid (Ministerie VWS)

Voorzitter van de Nederlandse Vereniging voor Dans- en Muziekgeneeskunde (NVDMG)

Research Output (58)

Microarray testing in patients with systemic lupus erythematosus identifies a high prevalence of CpG DNA-binding antibodies

Brunekreef Tammo, Limper Maarten, Melchers Rowena, Mathsson-Alm Linda, Dias Jorge, Hoefer Imo, Haitjema Saskia, van Laar Jacob M, Otten Henny okt 2021, In: Lupus science & medicine. 8

Severe lymphopenia acquired during chemoradiotherapy for esophageal cancer:Incidence and external validation of a prediction model

Kroese Tiuri E., Jairam Jasvir, Ruurda Jelle P., Lin Steven H., Mohan Radhe, Mook Stella, Haitjema Saskia, Hoefer Imo, Haj Mohammad Nadia, Peters Max, van Hillegersberg Richard, van Rossum Peter S.N. 25 aug 2021, In: Radiotherapy & Oncology. 163 , p. 192-198 7 p.

Identification and prediction of difficult-to-treat rheumatoid arthritis patients in structured and unstructured routine care data:results from a hackathon

Messelink Marianne A., Roodenrijs Nadia M.T., van Es Bram, Hulsbergen-Veelken Cornelia A.R., Jong Sebastiaan, Overmars L. Malin, Reteig Leon C., Tan Sander C., Tauber Tjebbe, van Laar Jacob M., Welsing Paco M.J., Haitjema Saskia 8 jul 2021, In: Arthritis Research and Therapy. 23

Monocyte-chemoattractant protein-1 levels in human atherosclerotic lesions associate with plaque vulnerability

Georgakis Marios K., van der Laan Sander W., Asare Yaw, Mekke Joost M., Haitjema Saskia, Schoneveld Arjan H., de Jager Saskia C.A., Nurmohamed Nick S., Kroon Jeffrey, Stroes Erik S.G., de Kleijn Dominique P.V., de Borst Gert J., Maegdefessel Lars, Soehnlein Oliver, Pasterkamp Gerard, Dichgans Martin 8 apr 2021, In: Arteriosclerosis, Thrombosis, and Vascular Biology. 41 , p. 2038-2048 11 p.

Text Mining of Electronic Health Records Can Accurately Identify and Characterize Patients With Systemic Lupus Erythematosus

Brunekreef Tammo E, Otten Henny G, van den Bosch Suzanne C, Hoefer Imo E, van Laar Jacob M, Limper Maarten, Haitjema Saskia feb 2021, In: ACR open rheumatology. 3 , p. 65-71 7 p.

Automatic Prediction of Recurrence of Major Cardiovascular Events:A Text Mining Study Using Chest X-Ray Reports

Bagheri Ayoub, Groenhof T Katrien J, Asselbergs Folkert W, Haitjema Saskia, Bots Michiel L, Veldhuis Wouter B, de Jong Pim A, Oberski Daniel L 2021, In: Journal of healthcare engineering. 2021 11 p.

Towards affordable diagnostics and risk management in cardiology:As simple as counting cells?

Haitjema Saskia, Hoefer Imo E 2021, In: International Journal of Cardiology. 331 , p. 206-207 2 p.

The Impact of a Standardized Pre-visit Laboratory Testing Panel in the Internal Medicine Outpatient Clinic:a Controlled "On-Off" Trial

Vrijsen B E L, Ten Berg M J, Naaktgeboren C A, Vis J Y, Dijstelbloem H M, Westerink J, Dekker D, Hoefer I E, Haitjema S, Hulsbergen-Veelken C A R, van Solinge W W, Kaasjager H A H 2021, In: Journal of General Internal Medicine. 36 , p. 1914-1920 7 p.

Cardiovascular imaging of women and men visiting the outpatient clinic with chest pain or discomfort:design and rationale of the ARGUS Study

Groepenhoff Floor, Eikendal Anouk L M, Bots Sophie Heleen, van Ommen Anne-Mar, Overmars L M, Kapteijn Daniek, Pasterkamp Gerard, Reiber Johan H C, Hautemann David, Menken Roxana, Wittekoek Marianne E, Hofstra Leonard, Onland-Moret N Charlotte, Haitjema Saskia, Hoefer Imo, Leiner Tim, den Ruijter Hester M 15 dec 2020, In: BMJ Open. 10 , p. 1-7

Evaluating a cardiovascular disease risk management care continuum within a learning healthcare system:a prospective cohort study

Groenhof T Katrien J, Lely A Titia, Haitjema Saskia, Nathoe Hendrik M, Kortekaas Marlous F, Asselbergs Folkert W, Bots Michiel L, Hollander Monika, 17 nov 2020, In: BJGP Open. 4 , p. 1-10 10 p.

All research output

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