2 min Analytics

AI system Fujitsu can reduce waiting time for patients

AI system Fujitsu can reduce waiting time for patients

Fujitsu has developed a new artificial intelligence (AI) system that can process medical notes and health data faster than the human eye. As a result, a time saving of 90 percent can be achieved, and patients can be helped more quickly.

The system can view and collect information in less than a minute, writes IT Pro. Manual analyses often take fifteen minutes. This means that a lot of time can be saved, which can benefit patients.

Fujitsu argues that the technology can significantly improve the quality of patient care, especially now that medical professionals have little time because they have to deal with multiple patients. The technology also makes it possible to store more patient data for more in-depth diagnoses.

Creation strategy

According to Dr. Adel Rouz, CEO of Fujitsu Laboratories in Europe, the new AI system is the result of a creation strategy that it has developed with partners such as the San Carlos Clinical Hospital.

This collaboration has given us an important insight into the challenges the healthcare sector is facing, especially when it comes to supporting clinical decision making. We have already succeeded in making several important innovations that are already making a difference in the workflow of the medical professionals.

The new AI system is the most recent solution from Fujitsu’s strategy. Rouz states that this improves the accuracy of clinical data. In addition, the digitisation for hospitals, medical insurance companies and government agencies will be automated.

Wider deployability

However, Rouz believes that more applications are possible. We believe it can be easily adapted to address similar challenges in other areas, such as insurance, legal and compliance.

The system is expected to be rolled out to other institutes later this year.

This news article was automatically translated from Dutch to give Techzine.eu a head start. All news articles after September 1, 2019 are written in native English and NOT translated. All our background stories are written in native English as well. For more information read our launch article.