September 2026

Two PhD students from the LEAPfROG project, Keano Simmons and Daniel Fernandez-Llaneza, presented their work at the Annual Meeting of the International Society for Pharmacoepidemiology (ISPE) in Milan.

Keano introduced a digital tool that helps clinicians judge whether a medication caused a patient’s acute kidney injury.

ISPE 42nd Annual Meeting Keano Simmons

Daniel presented a study on how pain medication is used in hospital practice, looking at how well prescribing follows clinical guidelines.

ISPE 42nd Annual Meeting Daniel Fernandez-Llaneza

Both talks showed how routinely collected hospital data can be used to make medication use safer and more effective.

June 2026

The second PharmacoInformatics Summer School ran for five days, using drug-induced kidney injury as a running example to show how data and information technology can make medication safer. The first day was organized together with the ICT committee of the Dutch association of hospital pharmacists (NVZA). The first day trained future Chief Pharmacy Information Officers, who guide digital developments in hospital pharmacies. Topics included the Dutch healthcare ICT landscape, the national drug database G-Standaard, design thinking, and the skills a CPIO needs, plus examples of data-driven innovation. Sixteen (hospital) pharmacists took part and rated the whole Summer School 8.4 out of 10.

Summer School – PharmacoInformatics Lab

Two manuscripts pertaining to two sub-studies within LEAPfROG project were published (see also Publications overview).

Acute kidney injury is a common and serious problem for hospital patients, and some medication can cause it. Yet doctors rarely diagnose or record medication-induced kidney injury. To understand why, researchers interviewed 13 physicians at a Dutch hospital. Doctors said that treating the acute kidney injury comes first, so finding its cause often gets less attention, especially when several factors are involved. Kidney function is usually well monitored, but in urgent situations, necessary medications may be given despite their risks. Physicians asked for up-to-date medication overviews, clear monitoring guidance, and better risk prediction. The study calls for greater awareness, better diagnosis, and personalized prevention.

Hospital physicians’ reasoning and information needs in the diagnosis and prevention of drug-induced acute kidney injury: a qualitative study | BMC Nephrology | Springer Nature Link

Hospitals primarly collect electronic patient records for patient care. Yet, this data is increasingly used to train medical AI tools. Researchers explored the ethical problems this creates, using LEAPfROG as case study. They reviewed 25 publications and held two workshops with patients, doctors, ethicists, and AI developers. Four concerns emerged: privacy and meaningful consent, public trust and patchy regulation, fair representation of all patient groups, and responsible use of AI tools in daily patient care. Data can lose meaning when reused, so its purpose must be clear. Ethical AI needs input from patients, clinicians, and data custodians, not just technical fixes or rules.

Journal of Medical Internet Research – The Ethics of Leveraging Routinely Collected Patient Data for AI Development: Mixed Methods Study

Identifying a cohort of hospitalized chronic kidney disease patients using electronic health records: lessons learnt and implications for future research and clinical practice guidelines | Clinical Kidney Journal | Oxford Academic

An Integrated Approach for Representing Knowledge on the Potential of Drugs to Cause Acute Kidney Injury | Drug Safety (springer.com)

  • patients who may directly benefit from insights gained via EHR data analyses,
  • healthcare providers who register data in EHR systems,
  • researchers who want to reuse EHR data for research to close knowledge gaps,
  • EHR vendors who make EHR systems
  • privacy officers who make procedures about EHR data reuse
  • gata stewards who help in EHR data extractions and pre-processing
  • the government who issues laws that impact EHR data reuse.

30-06-2023

During the 2nd user committee meeting, the first steps of LEAPfROG were presented and discussed. This steps included assessment of data quality, creating a list of kidney problems due to drugs, knowledge graphs (soon more about this topic), and information needs of physicians. Jurjen van der Schans gave a presentation on PITTS. PITTS is a partner of the LEAPfROG project and offers a web application for living systematic reviews en meta-analysis. The system supports researchers in undertaking the reviews. You can find more information on the website: Living systematic review software | Pitts. In total, 31 participants were present during the user committee meeting. It was very interesting and inspiring and we will use the insights to create the learning medication safety system of LEAPfROG.

23-03-2023

Joris, Daniel en Romy started their PhD trajectory! They will contribute to LEAPfROG work packages 1, 2, 3 and 4. Today, they presented their PhD plans during the yearly PhD day of the department medical informatics of Amsterdam UMC.

12-01-2023

The LEAPfROG kick-off meeting was very informative. Many different professionals were present, including: doctors, patients, pharmacists, companies, regulatory institutions and researchers. We will include the advice in our plans to increase the possibilities for success of LEAPfROG in creating a real and sustainable impact.

01-11-2022

Our research project LEAPfROG officially started!


About LEAPfROG

LEAPfROG is a scientific research project and is leveraging real-world data to optimise pharmacotherapy outcomes in multimorbid patients by using machine learning and big data. LEAPfROG is a private-public cooperation between Amsterdam UMC, Vrije Universiteit, Open Universiteit and eight private partners. LEAPfROG is financed by NWO for 70%. The private parties are co-funding the project for 30%.

Contact

  • This field is for validation purposes and should be left unchanged.