Healthcare process mining with RFID

Abstract

The working environment in health care organizations is characterized by its demand for highly dynamic human resource management in which (a) medical personnel are generally associated with several disparate types of tasks, (b) service location and service personnel change frequently, (c) emergency issues could arise at any time, and (d) the stakes are high since invaluable human lives are involved. There is an urgent need from both researchers and health care organizations to develop mechanisms for maintaining a good balance between efficient management and superior medical service quality. We discuss the potential for real-time health care coordination and effective medical human resource management enabled by event-driven RFID item-level tracking/tracing identification technology. We explore the uniqueness of instance-level process mining and its application in health care environment. We propose an adaptive learning framework that supports real-time health care coordination. © 2010 Springer-Verlag.