From prevention to prediction: AI for discreet hospital care

From prevention to prediction: AI for discreet hospital care

Hospitals in France constantly collect vast amounts of digital data about the patients they admit. To analyze this mountain of medical information, a young French startup has developed an artificial intelligence program that can both serve as a medical decision-making tool and relieve healthcare workers from tedious administrative work.

Programsartificial intelligence aimed at healthcare professionals, already describes what the medical world of tomorrow will be like: better, faster and cheaper care. In a hospital setting, this is software based monitoring devices Machine learning or self-learning computer systems in French allow the development of effective predictive models based on large amounts of data.

Machine learning applied to hospital data

Parisian startup AI Sankara Created in 2017, it is installed in approximately twenty medical institutions in France. Medical reports, examination results, optimization of administrative and financial processes, this computing power, which works only within the company, also allows you to speed up research and clinical researches– explains Bertrand Caron, development director at Sancare: “ All departments of the hospital are connected to a single Patient record » computerized. This database is loaded with medical procedures and the administration of hospital care pathways: observation reports, medical prescriptions, biological results, x-rays, surgical procedures, and so on. All data collected during your stay patient Thus, the data in the medical facility will be recorded on a centralized computer server on which our artificial intelligence program will run. »

Data security comes first

The system only works internally for obvious reasons: safetyexplains Bertrand Caron: “ highest priority for installing AI in medical institution is to prevent data leaks and the risk of hacking. The learning algorithm, deployed on the hospital’s internal computer server, analyzes the patient’s medical history over a period of 4 to 5 years. This anonymized information will prove valuable for clinical research. »

AI: time saving and completeness for the medical world

Bertrand Caron concludes: “This artificial intelligence program should be considered as a decision support tool for medical personnel. On the other hand, this digital device will never replace the final decisions of doctors. The primary benefit of AI in the hospital setting is the time savings and complexity for physicians and their administrative assistants. »

AI and health, WHO recommendations

According to a report fromWorld Health Organizationartificial intelligence represents enormous potential to improve the quality of health care for millions of people around the world. “. Help in screening for diseases, developing and administering treatments, surveillance of epidemics, management of health systems… However, WHO recommends that states establish ethics and human rights at the basis of the development of these programs, as well as for the systematic supervision and control of their use.

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