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The ‘Bialert Sepsis’ AI Can Predict a Septic Crisis 24 Hours in Advance in 96% of Cases

The Institute of Knowledge Engineering (IIC) has developed ‘Bialert Sepsis,’ an AI tool predicting sepsis risk 24 hours in advance with 96% accuracy. It continuously collects patient data, sending alerts to the medical team. Trained on over 200,000 Spanish patients, this tool aids clinicians by guiding tests and treatment without replacing doctors, enhancing decision-making.




The Institute of Knowledge Engineering ( IIC ) has designed ‘Bialert Sepsis,’ the first Spanish Artificial Intelligence (AI) tool that anticipates the risk of sepsis 24 hours in advance with 96 percent predictive capacity.

BIAlert Sepsis anticipates what the doctor does not see and collects information from the patient’s medical history every 30-45 minutes from the moment they enter the hospital. It also sends alerts to the medical team, indicating the risk of sepsis 24 hours before the syndrome occurs. The solution has been trained with data from more than 200,000 Spanish patients and the algorithm learns more and more over time.

To install BiAlert you must receive approval from the hospital’s ethics committee and sign a data protection agreement

Dr. Marcio Borges, coordinator of the Multidisciplinary Sepsis Unit at Son Llàtzer University Hospital in Palma de Mallorca and president of the Sepsis Code Foundation, explained “BiAlert can see things that doctors do not see because sometimes we do not give importance to a certain piece of information.”

“That can have validity because we have a limited capacity and technology like AI can work.” Furthermore, he highlighted the great advance that this tool represents. “These are results that we cannot have with any other technique or with human capacity and with artificial intelligence we can,” Dr. Borges concluded.

In this way, the AI ​​warns that the patient has possible sepsis, guides what tests should be done on this patient and finally what type of treatment can be offered. “That is the future, not only to warn about possible sepsis, but to guide and help the clinician in their decision making. This is the support that these technologies are going to give us. It is not going to replace doctors, it is going to help us think ,” explained Dr. Borges.

BiAlert has been operating for two years at the Son Llàtzer University Hospital in Palma de Mallorca

The Director of the IIC Health area, Elisa Martín , has explained that they are incorporating AI software into their patient management systems at the 12 de Octubre Hospital in Madrid and the Albacete University Hospital Complex. This occurs after the tool has been in operation for two and a half years at the Son Llàtzer University Hospital (Palma de Mallorca).

To install BiAlert you must receive approval from the hospital’s ethics committee and sign a data protection agreement. You only need to have a server, with a computer with some memory; and the development of a dictionary to label clinical criteria in a standard way in each hospital. It does not generate additional work for the professional. It is installed remotely and a remote review is also done to confirm that everything works correctly.


(Featured image by National Cancer Institute via Unsplash)

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First published in iSanidad. A third-party contributor translated and adapted the article from the original. In case of discrepancy, the original will prevail.

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Eva Wesley is an experienced journalist, market trader, and financial executive. Driven by excellence and a passion to connect with people, she takes pride in writing think pieces that help people decide what to do with their investments. A blockchain enthusiast, she also engages in cryptocurrency trading. Her latest travels have also opened her eyes to other exciting markets, such as aerospace, cannabis, healthcare, and telcos.