A computerized system recommends customized antibiotics for inflammation

Maccabi Health Services physicians recently began working with a predictive algorithm, based on artificial intelligence, developed at the Technion together with KSM (Kahn-Purple-Maccabi), Maccabi’s Research and Innovation Institute. The new algorithm helps physicians decide on antibiotic treatment tailored to each patient.

The first diagnosis that Maccabi focused on was urinary tract infection – the most common bacterial disease among women. About 30% of women in the population suffer from this phenomenon at least once in their lifetime and up to 10% will suffer from recurrent infections. To date, in most cases, general treatment is given based on clinical guidelines and medical judgment, and it sometimes turns out that the bacteria are resistant to the antibiotics that have been prescribed and need to be replaced.

Since the beginning of the use of the new algorithm, Maccabi doctors have treated tens of thousands of cases, and the result is a significant decrease of about 35%. The need to replace antibiotic therapy, as a result of the development of bacterial resistance to registered antibiotics. This means that thanks to the new technology, the adjustment of antibiotics is much more accurate. In light of the success of the new development in the treatment of urinary tract infections, Maccabi has begun work on developing additional detection systems that will help deal with other infectious diseases, which require customized antibiotic treatment.

Medication | Photo: Imagebank / Thinkstock

How It Works?

Maccabi’s computerized system recommends to the doctor the most appropriate antibiotic treatment for the patient based on clinical guidelines and other parameters such as age, gender, pregnancy status, residence in a nursing home, as well as a personal history of urinary tract infection and antibiotic dispensations.

The unique algorithm was developed by Prof. Roi Kishoni and Dr. Idan Yellin from the Faculty of Biology at the Technion together with KSM, the Maccabi Research and Innovation Institute headed by Dr. Tal Fatalon and implemented by the staff of the Medical Informatics Department and a Chief Physician among Maccabi physicians. According to Prof. Kishoni: “The algorithm we developed with Maccabi experts is an important milestone in customized medicine for antibiotic treatments based on artificial intelligence – treatments that are tailored to the patient based on predicting the response to treatment and reducing the development of resistant bacteria.”

Dr. Shira Greenfeld, director of the Medical Informatics department at Maccabi, said: “The meaning of providing customized antibiotic treatment is to reduce the risk of developing antibiotic resistance – a global problem that all health bodies are trying to find a solution to.”

By Editor

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