HANDLING of health data
A major breakthrough in the management and storage of health data
Digitalisation processes in the health sector
All economic and non-economic/public sectors are affected by digitisation processes, and neither medicine nor organisations managing health data are exempt. Digital solutions have brought significant breakthroughs in the management and storage of health data. Electronic health databases allow doctors and healthcare professionals to access and analyse patient information more easily. This allows faster and more effective diagnosis and treatment for patients. Digital systems also make it easier to collect and share health data, which can help improve the coordination of healthcare and promote a healthier society.
In addition, digitisation also enables the aggregation and analysis of health data into anonymised large databases. This allows data to be compared and researched from many different perspectives, which can be important for modelling the spread of epidemics or identifying risk factors for disease, for example. Digital solutions thus not only improve the health of the individual, but also contribute to increasing the efficiency and responsiveness of health systems.
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Electronic health records
They contain patients’ medical and health information in electronic format, including medical history, treatments, laboratory results and other relevant health data. These databases can help healthcare providers to better care for patients and manage diseases.
National health databases
Large databases that collect and store health information at national level. These databases can help to develop public health measures, monitor epidemics and evaluate the performance of health systems.
Clinical trial databases
Databases that contain data collected during clinical trials. These databases can be important for evaluating the efficacy and safety of new medicines and therapies.
Genetic databases
Databases that store genetic information, such as gene sequences. These databases can help diagnose genetic diseases and identify genetic predispositions.
Read about our custom-developed pathology IT system here (case study)