Artificial Intelligence has the potential to revitalize archived patients’ journals by providing valuable insights and creating new meaning from existing data.

This is a summary of the original arcticle published in Norwegian in Dagens Medisin ->

The article discusses the significance of Artificial Intelligence in healthcare, particularly the utilization of archived patient records. The Norwegian government recently announced a billion-NOK investment in AI, and Bjørn Børresen, Director at The National Archives of Norway, argues that it is crucial to use AI tools to gain experience, new knowledge, and improve public health.

The healthcare system faces challenges due to an aging population and increased health risks. To address this, access to data and the use of available technology is necessary. The Health Archive Register (HAREG) contains over 1 million patient records that date back over 100 years. These records are digitized and used in research using language algorithms.

By using AI language algorithms, researchers can identify relevant records and pages containing specific information, such as test results, diagnoses, symptoms, medications, and more. This increases research capacity and can lead to improved patient care and health enhancements.

The article provides an example of how AI is used to analyze clock test results for dementia and stroke. Using AI to analyze historical patient records can generate new knowledge and contribute to better public health. While there are challenges associated with the use of AI, researchers are encouraged to harness this technology to create new insights and improve patient care. The article emphasizes that the path to better health lies through practical experience and continuous innovation.

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