Deploying AI for Faster and More Precise Clinical Decision-Making

Deploying AI for healthcare

Fujitsu has a vision of Human Centric Innovation – our unique approach to creating business and social innovation by empowering people. But it isn’t a plan for the distant future; it guides what we do every day as we bring it to life. A recent example is a transformational field trial with the San Carlos Clinical Hospital in Madrid, where Fujitsu deployed artificial intelligence capabilities to help doctors diagnose and treat psychiatric patients more effectively.

When you consider that healthcare is itself a very human-centric service, then this pilot project illustrates how technology can be deployed to find new ways to support humans (doctors) in the clinical decision making process, so that they can better help humans (patients). The trial was extremely successful – it succeeded in increasing the time available for consultations through a dramatic reduction in the administrative time needed by doctors to gain a preliminary overview of patient records and risk factors.

To be able to prescribe appropriate treatment, it is essential for clinicians to understand a patient’s potential health risks. This involves considering a range of factors, such as the patient’s medical history, their current situation, and previous admissions to different departments. However, this information was previously only available to the clinicians at the San Carlos hospital through consulting multiple different sources, most of which were paper-based, which meant that the research could be time consuming.

The first step in the digital transformation of this process was for Fujitsu to collect and integrate historical medical data for more than 36,000 anonymized patient records, over a million medical academic papers and public healthcare data, and add this to a secure database.

Today, when a doctor at San Carlos hospital requests details for any patient, Fujitsu’s Zinrai AI system rapidly analyzes this database. It then converts information into a visual model that clearly highlights possible health risks for the patient, such as suicide, and alcohol or drug dependence. System accuracy is calculated to be 95 percent or higher in comparison to a team of eight psychiatrists, with more than 20 years’ experience each. By having instant access to patient records that are pre-screened by AI, clinicians can spend more time with the patients themselves.

San Carlos is now in the process of scaling and extending the solution to provide access to more psychiatrists at the hospital. Furthermore, as a result of the successful project, Fujitsu has developed HIKARI – an artificial intelligence healthcare API to improve clinical decision-making and the accurate assessment of risks for individual patients. HIKARI is focused on patients and provides doctors with access to integrated, aggregated and anonymous data obtained from clinical and non-clinical sources.

The San Carlos Hospital is a great case study for when you’re told “the machines are taking over” – because it aptly demonstrates how this does not have to be the case. Instead, artificial intelligence is taking on repetitive, time-consuming back office work. This frees up people to focus on more human-centric tasks. In this case, doctors at San Carlos Hospital have more information at their fingertips than ever, thanks to AI – and can use that knowledge to provide best-in-class healthcare services to their patients.


You can find more information about Revolutionizing clinical decision-making using artificial intelligence on our microsite.


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