STACC is developing a variety of solutions based on data science and machine learning, which contribute towards preventive, predictive and participatory health system. Contact us and let’s discuss opportunities in the field of personalized medicine.
Converting health data into a common data model, creates a precondition for systematic analysis of data coming from different sources and enables using various tools developed for this particular model.
Various text analytics tools enable to turn text into quantitative data, that is, to change it into a format suitable for calculations. This way, text documents can be quickly searched and analyzed, furthermore, text analytics helps to identify, manage and anonymize personal information, which is necessary in the context of the revised General Data Protection Regulation.
Turning health data into valuable knowledge requires right methods for compiling and interpreting data. Data visualization enables to rely on a large amount of data in a compact space. Instead of spending hours on going through endless rows of data, visualization solutions will interpret the data quickly and efficiently.
ESTONIAN HEALTH INSURANCE FUND
Visualization of the cost of specialized medical care and the financial indicators of the Health Insurance Fund
ESTONIAN GENOME CENTRE
Converting the Genome Center’s data into the OMOP format