The important role of data in improving the quality of healthcare in the future can hardly be underestimated. Alexander Furnica is one in a team of Data Scientists at Philips. He works on realizing the potential of data to improve people's lives. In an interview with Brainport Eindhoven, he explains how the Philips Research Department uses data to help hospitals optimize the way they work.
“I work on analyzing data of Philips’ devices and general healthcare data to improve our services and workflows in healthcare,” Alexander explains. “The main project that I am currently working on is called PerformanceFlow. It concerns analyzing the data that we gather in hospitals by using sensors, which are placed on patients, hospital staff and medical assets to improve logistics in hospitals and make it as efficient as possible.”
The solution was developed in partnership with OLVG. "This hospital has a great number of assets such as wheelchairs and infusion pumps. They also want to be sure that the number of assets is abundant so that they never run out of the equipment they need, on the other hand stocks or assets that are not in use cost money. By gathering data, compliant with privacy guidelines of course, and by analyzing asset usage, we can improve the department’s efficiency as much as possible without waste.”
By gathering data, and by analyzing asset usage, we can improve the department’s efficiency as much as possible.
Alexander Furnica
Data Scientist
He joined Philips through the traineeship program, which he feels is a great way to start your career. “It is a good way to really get to know a company. The good thing about working at Philips is that there are many ways and opportunities to develop yourself. The traineeship program offers great flexibility. Philips simply wants you to get the best out of yourself. Moreover, you get to network a lot and meet many different people. The program is a great way to start your career.”
Philips simply wants you to get the best out of yourself.
Alexander Furnica
Data Scientist
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