The book (2015) is a seminal work for anyone looking to apply data-driven analysis to complex medical environments. Written by industry heavyweights Ronny S. Mans, Wil van der Aalst, and Rob Vanwersch, it serves as a practical bridge between theoretical data science and the messy reality of hospital operations. Review Highlights
: Anyone looking to apply process-oriented thinking to highly variable, patient-centered environments.
: A must-read for those specializing in healthcare information systems or process analysis. Process Mining in Healthcare: Evaluating and Ex...
: The authors ground their theories in real-world data from the Maastricht University Medical Center and Academic Medical Center. These use cases illustrate how to identify bottlenecks, quantify deviations from standard protocols, and compare process efficiencies.
For those looking for a copy, the book is available at retailers like Amazon and AbeBooks . The book (2015) is a seminal work for
: One of the book's greatest strengths is its "Healthcare Reference Model." It provides a clear framework for the types of data available in hospitals and how they relate, making it easier for practitioners to know where to start.
: Having Wil van der Aalst—the "Godfather of Process Mining"—as a co-author ensures the technical foundations are rock-solid, while Rob Vanwersch's experience as a hospital program manager keeps the content grounded in practical healthcare needs. Who Should Read This? Review Highlights : Anyone looking to apply process-oriented
: Unlike many medical texts, this book zooms in on organizational processes (like billing and logistics) rather than just clinical treatment. This makes it an essential resource for hospital administrators and Business Process Management (BPM) professionals.
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