The use of artificial intelligence has increased the risk of hacker attacks in hospitals

Confidentiality will be violated

The use of artificial intelligence is growing, while some warn it could potentially increase the risk of computer attacks on hospitals. In Norway, AI is being introduced into the healthcare system in full swing. Experts warned that this could lead to discrimination and new computer attacks.

Artificial intelligence is becoming increasingly common in healthcare, where it is used, among other things, as a clinical decision support tool. Some believe that the use of AI could lead to discrimination since the technology is based on data from the majority of the population and thus ignores minorities.

For a long time, the healthcare system has been looking for ways to solve the problems of the future. The growing number of elderly people in Norway, coupled with staff shortages, is decimating the healthcare sector.

Artificial intelligence also increases the risk of the spread of confidential information and computer attacks on hospitals. Its use could help some of the future challenges of the healthcare system, such as an aging population and staff shortages.

There is concern that current legislation is insufficient to protect against the misuse of artificial intelligence in healthcare.

“This could be diagnoses, treatment choices, prioritizing who should receive care first, and it could be risk prediction, which is assessing which patients are at risk of developing a condition that something can be done about.” ,” Tromsø lawyer Matthias Carlsen Hauglid tells NRK.

The use of artificial intelligence has Tom Roseth, a senior lecturer at the Norwegian Armed Forces’ military school, warning that it could increase the risk of computer attacks on Norwegian hospitals.

One of Norway’s leading researchers in the field of artificial intelligence, Ishita Baruah, is impressed by Hauglid’s work and considers his research on how to think like technologists to be unique. She believes this can lead to a particular problem in the health service if the data collected does not indicate whether a person has, for example, an ethnic background.

“This is what leads to algorithmic discrimination, and this is something that I think we need to be very aware of because we are in the early stages right now,” she emphasizes. “I think we are in danger.”

She warns that the use of artificial intelligence could impact hospitals’ ability to provide equal health care regardless of the background of an individual patient or relatives. Baruah explains that the use of artificial intelligence in healthcare occurs when those who need such a tool either develop an AI model themselves or buy it “off the shelf.”