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Over ons Praktische zaken Waar vindt u ons dr. L.L. (Lilian) Peters

Research interests

I work as an assistant professor/clinical epidemiologist at the following institutions:

University Medical Center Groningen, Department Primary and Long-term Care (Midwifery Science and the Academic General Practice Living Lab)
Western Sydney University, School of Nursing and Midwifery (Australia)

My research focuses on advancing Women's Health with data-driven innovations. Using regional, national and international primary and secondary electronic health record (EHR)-data, I examine how single and multiple events during the reproductive life course influence long-term maternal health. Additionally, I have initiated data collection efforts tailored to the Dutch healthcare context, including the establishment of the Lifelines Reproductive Origins of Adult Health and Disease cohort and recurring online surveys, such as the Birth Experience Study, to provide nuanced insights into women’s health and well-being.

As an epidemiologist specialising in EHR-data, I responded to the COVID-19 pandemic by leading initiatives that leveraged both structured primary care data (e.g., diagnostic codes) and unstructured primary care data (e.g., doctors’ notes). In several COVID-19 projects, my team combined conventional statistical methods with advanced AI techniques—such as natural language processing—to monitor care pathways, healthcare seeking behaviour, and predict adverse outcomes. This work transformed EHR-data into actionable insights, ultimately improving health outcomes across the general and diverse populations e.g. pregnant women, elderly persons, and acute/post-COVID-19 patients. 

Building on expertise in both maternal and general practice, I established a Women’s Health Data Research Infrastructure, linking EHR-data from three general practice (GP) research networks with national maternity care registries. This infrastructure will be further enriched with data from social, economic and personal domains. My goal is to develop a sustainable, reusable infrastructure for women’s health research, bridging gaps between healthcare, epidemiology, and data science.

Publicaties

Choosing for a Homebirth during COVID-19 Lockdown in The Netherlands, who and why: A national prospective questionnaire study

Comparison of observational methods to identify and characterize post-COVID syndrome in the Netherlands using electronic health records and questionnaires

How does the first index mode of birth in public or private hospitals predict subsequent births? A 16-year Australian population-based linked data study

Impact of Pre-Existing Comorbidities and Multimorbidities, Demography and Viral Variants on Post-Acute Sequelae of COVID-19 ('Long COVID') in Dutch Primary Care: A Retrospective Cohort Study

Introducing CRISP-PIP: A Cross-Industry Standard Process Framework to Empower Translation of Big Data into Actionable Population Insight Products for Healthcare

Negative childbirth experience in Dutch women: A socio-ecological analysis of individual, interpersonal, and organisational factors from the birth experience study

Passende stoppen-met-rokenzorg voor zwangere vrouwen

Research protocol - Evaluating data quality in the Netherlands Perinatal Registry (Perined): A data comparison study using hospital records from the IUGR Risk Selection (IRIS) study

Stappenplan Work Package Populatie-Inzicht-Product: Datapoort Project

Pers/media

Public hospitals see more vaginal births, fewer C-sections than private: Study

1 op de 12 zwangere vrouwen rookt

Acht procent van de zwangere vrouwen rookt. 'Ze voelen zich gepusht om te stoppen en haken af'

Nieuwe AI-methode toont aan: corona-uitbraak was al vroeg zichtbaar in huisartsbezoeken

Geboorte met vauumpomp: wat zijn de gevolgen voor moeder en baby?

Geboorte met vacuümpomp: wat zijn de gevolgen voor moeder en baby?