Brief description and aims of work
Royal Philips Electronics of the Netherlands is a diversified Health and Well-being company, focused on improving people’s lives through timely innovations. As a world leader in healthcare, lifestyle and lighting, Philips integrates technologies and design into people-centric solutions, based on fundamental customer insights and the brand promise of “sense and simplicity”.Headquartered in the Netherlands, Philips employs approximately 116,000 employees in more than 60 countries worldwide. With sales of EUR 23 billion in 2009, the company is a market leader in cardiac care, acute care and home healthcare, energy efficient lighting solutions and new lighting applications.
We combine our expertise in medical technology with the clinical know-how of our customers to produce innovative solutions that meet not just the needs of individual patients, but which also enable healthcare professionals to work faster, more easily and more cost-effectively. Our medical customers have ranked us number 1 in cardiovascular X-ray, digital X-ray and ultrasound, patient monitoring systems, nuclear medicine, cardiology systems and critical care systems.
Healthcare Information Management
The department Healthcare Information Management of Philips Research Europe focuses on Information Management in Clinical Applications and in Home Care environments and on Clinical Decision Support Systems. The two main clinical domains currently addressed are oncology and cardiology, next to generic solutions regarding clinical information systems, information integration, domain modelling, medical imaging, standardization and interoperability. Beside carrying out industrial research projects for Philips Healthcare, the members of the group have participated in and led numerous collaborative projects at National (Dutch-government funding) and European level.
In p-medicine Philips’ main contribution will be to the development of clinical decision support solutions based on patient data, on various knowledge sources, and on data mining of clinical trial data. The end goal is to support personalization of treatment and improved safety.
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