The Department of Engineering in Medicine and Biology of the Croatian IEEE Section announces a lecture "The importance of health data quality for trustworthy AI development and safe AI use" which will be held by Professor Dipak Kalra, the president of the European Institute for Innovation through Health Data (i~HD), a non-profit organization whose activities enable the optimal use of health data. The lecture will be held on September 18th, 2025, at 10AM in the D2 lecture hall at the Faculty of Electrical Engineering and Computing.

We hereby invite students, professional associates, assistants, professors, and all interested members of the public to reserve time and join us for a lecture by one of the leading experts in the field of medical informatics.

Lecture description: This presentation will explain the importance of health data quality, what data quality means, how it can be measured, and how the risk of data bias can be assessed and addressed, with a particular focus on the quality needs for AI development and AI use. Data bias is an important concern, in healthcare much more than many other sectors due to the patient safety implications, so AI developers need a systematic method for assessing the representativeness of the data sets they are using and how to compensate for the biases they detect. How should the reliability of an AI solution be communicated to decision-makers such as procurement officers, and to users such as clinicians and patients? Confidence in AI use within health systems, by health professionals and patients, is a critical success factor for scaling up the use of AI in healthcare, which will also be explored.

Lecturer bio: Professor Dipak Kalra is President of The European Institute for Innovation through Health Data (i~HD), a Professor of Health Informatics and a former London general practitioner. He plays a leading international role in Electronic Health Record R&D, including the reuse of EHRs for research. He has led the development of ISO standards on EHR interoperability, personal health records and data protection. He participates in multiple European Commission funded projects including the generation of real-world evidence in pregnancy, support for the accelerated uptake of digital health innovations, scaling up the quality, interoperability and the reuse of health data for research including inputs to the European Health Data Space, scaling up of the collection and use of health outcomes towards more value-based care, the development of an AI-powered federated learning platform in lung cancer and initiatives to improve a patient’s understanding of of their medication to improve confidence and adherence. His institute, i~HD, is a neutral, not-for-profit organisation that facilitates the optimal and trustworthy uses of health data to improve health care and accelerate research.