A key benefit of PerformanceFlow is that it is designed in a technology agnostic manner. In other words, the solution can work with a variety of RTLS technologies, e.g. WiFi, Bluetooth Low Energy, and Infrared. Philips Research thoroughly tests and evaluates the various technologies and vendors to ensure that we only adopt solutions which are reliable, can scale easily, and are also cost effective from the perspective of ease of deployment and maintenance.
PerformanceFlow empowers the customer to take real-time, data-driven decisions. Philips Research plays a critical role here by developing tools and algorithms that combine various real-time as RTLS, or IoT data and non-real-time Electronic Medical Record, or Laboratory Information Systems data streams to extract reliable insights in an automated manner. These diverse data streams are used to develop AI-driven predictive algorithms that allow hospital personnel to take decisions that impact operational performance in a pro-active rather than reactive manner.
Philips Research works closely with multiple clinical partners across Europe both through bilateral engagements and through research pilots executed under EU subsidy programs. For example, Philips Research recently led the €15 million EU project, BigMedilytics involving a total of 35 partners. As part of this project, three RTLS-based pilots were executed covering topics as diverse as asset management and optimization of workflows of stroke and sepsis patients in the Emergency Department.