Department for Health Data Analytics

We are looking at how health data can be used to predict, detect and treat disease. Machine learning algorithms and data mining methods are some of the things we are studying. We will develop methods for analysing data and protecting privacy. A central topic is how the health sector can make use of reliable and sustainable algorithms.

Better use of health data

A national aim is to improve the access to health data for quality improvement, health monitoring, and control management and research. Privacy preserving of patient information is required for maintaining trust from patients and healthcare professionals. Advanced statistical methods shall be developed to retrieve useful and meaningful information from large volumes of data.

Patient data are generated in health care systems. Access to data and the tremendous growth in computer processing power makes it possible to use new methods in analytics. It gives decision-makers, health workers and citizens new tools. Advanced analytics enable health professionals to predict, diagnose and treat disease. Health data analysis is an evolving and complex field with many different stakeholders.


  • Making data from electronic health records available and do secondary studies
  • See EPR data and data from other sources in context
  • Computerized clinical decision support for doctors
  • Safeguard patients’ privacy
  • Knowledge about ICT systems that collect data from different sources
  • Secondary analyses, using pattern recognition, visualising, predictive modelling, time series analysis, textual analysis and more
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This page was last updated:

29 November 2021

For more information, contact:

Department employees

Name Title Telephone(s)
Anastasios Lamproudis Adviser
Therese Svenning Adviser 902 43 288
Miguel Angel Tejedor Hernandez Researcher 926 99 162
Frank Remman Adviser 977 59 392
Aina Fredeng Adviser 975 06 498
Elisa Salvi Adviser 916 84 295
Ciprian-Virgil Gerstenberger Senior Adviser 909 52 287
Maryam Tayefi Nasrabadi Senior Researcher 90417880
Phuong Dinh Ngo Senior Researcher 920 82 071
Hercules Dalianis Professor +46705681359
Anne Torill Nordsletta Director Health Analytics 904 17 310
Torje Dahle Henriksen Software Developer 909 12 307
Taridzo Chomutare Senior researcher 476 80 032
Per Atle Bakkevoll PhD Candidate 957 28 549
Line Helen Linstad PhD Candidate and Senior Adviser 416 82 342
Kassaye Yitbarek Yigzaw Senior Researcher 967 47 253
Joseph Stephen Hurley Software Developer 944 21 607
Johan Gustav Bellika Professor 957 48 049
Fred Godtliebsen Professor 954 45 388
Andrius Budrionis Senior Researcher 913 60 982
Alexandra Makhlysheva Senior Adviser 416 18 319