dr. S. Haitjema

dr. S. Haitjema

Associate Professor
dr. S. Haitjema
  • Central Diagnostic Laboratory

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 (90)

Optimizing cardiovascular risk assessment and registration in a developing cardiovascular learning health care system:Women benefit most

Groenhof T Katrien J, Haitjema Saskia, Lely A Titia, Grobbee Diederick E, Asselbergs Folkert W, Bots Michiel L, 8 Feb 2023, In: PLOS digital health. 2

A machine learning approach using endpoint adjudication committee labels for the identification of sepsis predictors

Niemantsverdriet Michael, de Hond Titus, Höfer IE, van Solinge W.W., Bellomo Domenico, Oosterheert JJ, Kaasjager Karin, Haitjema Saskia 23 Dec 2022, In: BMC Emergency Medicine. 22 , p. 1-10

Shorter laboratory turnaround time is associated with shorter emergency department length of stay:a retrospective cohort study

Vrijsen Bram E L, Haitjema Saskia, Westerink Jan, Hulsbergen-Veelken Cornelia A R, van Solinge Wouter W, Ten Berg Maarten J 21 Dec 2022, In: BMC Emergency Medicine. 22

A Wolf in Sheep's Clothing:Reuse of Routinely Obtained Laboratory Data in Research

Overmars L Malin, Niemantsverdriet Michael S A, Groenhof T Katrien J, De Groot Mark C H, Hulsbergen-Veelken Cornelia A R, Van Solinge Wouter W, Musson Ruben E A, Ten Berg Maarten J, Hoefer Imo E, Haitjema Saskia 18 Nov 2022, In: Journal of Medical Internet Research. 24

Data mining to retrieve smoking status from electronic health records in general practice

de Boer Annemarijn, de Groot Mark, Groenhof Katrien, van Doorn Sander, Vaartjes Ilonca, Bots Michael L, Haitjema Saskia 3 Oct 2022, In: European Heart Journal Digital Health. 3 , p. 437-444

A Network of Serum Proteins Predict the Need for Systemic Immunomodulatory Therapy at Diagnosis in Noninfectious Uveitis

Kuiper Jonas J W, Verhagen Fleurieke H, Hiddingh Sanne, Wennink Roos A W, Hansen Anna M, Casey Kerry A, Hoefer Imo E, Haitjema Saskia, Drylewicz Julia, Yakin Mehmet, Sen H Nida, Radstake Timothy R D J, de Boer Joke H Sep 2022, In: Ophthalmology science. 2 , p. 1-9

Axial light loss of monocytes as a readily available prognostic biomarker in patients with suspected infection at the emergency department

de Hond Titus A.P., Hamelink Wout J., de Groot Mark C.H., Hoefer Imo E., Oosterheert Jan Jelrik, Haitjema Saskia, Kaasjager Karin A.H. 11 Jul 2022, In: PLoS ONE. 17 , p. 1-11

A Perspective on a Quality Management System for AI/ML-Based Clinical Decision Support in Hospital Care

Bartels Richard, Dudink Jeroen, Haitjema Saskia, Oberski Daniel, van ‘t Veen Annemarie 6 Jul 2022, In: Frontiers in Digital Health. 4

Microarray analysis of autoantibodies can identify future Systemic Lupus Erythematosus patients

Brunekreef Tammo E, Reteig Leon C, Limper Maarten, Haitjema Saskia, Dias Jorge, Mathsson-Alm Linda, van Laar Jacob M, Otten Henny G Jun 2022, In: Human Immunology. 83 , p. 509-514 6 p.

Deep learning body-composition analysis of clinically acquired CT-scans estimates creatinine excretion with high accuracy in patients and healthy individuals

Pieters Tobias T., Veldhuis W. B., Moeskops P., de Vos B. D., Verhaar M. C., Haitjema S., Huitema A. D.R., Rookmaaker M. B. 30 May 2022, In: Scientific Reports. 12

All research output

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