Process Mining and Analytics for Care Pathways: Proposal for a Tutorial at ICHI2017

This tutorial demonstrates the application of a range of process analytics techniques to the study and improvement of clinical care pathways. The past decade has seen increasing interest in care pathway design, documentation and dissemination but formal methods for describing, monitoring and assessing pathways have yet to be established. Outside of healthcare other industries have well established techniques for business processes and there is much scope for translating these to fit the unique nature of healthcare. In particular data analytics, data mining, and machine learning have converged on a set of technologies called process mining which has the potential to lead to a step-change in using e-health record data to mine and manage care pathways. The tutorial presents an iterative method developed with the UK NHS and the Connected Health Cities programme that combines process mining with other process analytics methods including process modeling, process simulation and business process improvement. The session is highly interactive and based on a series of hands-on exercises around a worked example supplemented by case studies of completed work. Links to further study are provided and the aim is encourage further research and build a global community of practice.