Healthcare Operations Research

Applying model-driven engineering to problems in healthcare operations

Healthcare systems all over the world face huge challenges from growing and ageing populations, limited resources, and increasing expectations of patients and other stakeholders. Healthcare operations research (OR) is a field that applies mathematical and computational methods to improve the efficiency and effectiveness of healthcare systems. It has existed for a long time, the EWS ORAHS working group has been around since 1975, for example.

Yet, many healthcare OR solutions struggle to be adopted in practice, and frequently, solutions are reimplemented time and time again in new contexts. I’m interested in how software engineering approaches – and model-driven engineering in particular – can help to address these challenges, and to make healthcare OR solutions more reusable, adaptable, and accessible to all stakeholders. My research, thus, ranges from empirical studies of healthcare operations, to the development of new healthcare-specific modelling languages and tools, and to the application of these languages and tools to real-world healthcare problems.

References

Journal Articles

2025

  1. On Simulation Reuse in Healthcare Applications
    Steffen Zschaler, Navonil Mustafee, Alison Harper, and 4 more authors
    Simulation, 2025

2021

  1. Interprofessional barriers in patient flow management: an interview study of the views of emergency department staff involved in patient admissions
    Olga Boiko, Matthew Edwards, Steffen Zschaler, and 2 more authors
    Journal of Interprofessional Care 35(3), 2021

Conference and Workshop Papers

2026

  1. Exploring Reusability Barriers for Simulation Models in Healthcare
    Lucy Morgan, Alison Harper, Thomas Monks, and 2 more authors
    In 2026 Winter Simulation Conference (WSC), 2026
    To appear
  2. Using model-driven techniques for specifying and solving optimisation problems in the healthcare domain: A case study based on the Integrated Healthcare Timetabling Problem
    Maximilian Kratz, Jule Pfau, Steffen Zschaler, and 2 more authors
    In 1st International Workshop on Model Engineering for Digital Innovation in Healthcare (MEDIC’26), 2026
    To appear

2023

  1. Supporting Emergency Department Risk Mitigation with a Modular and Reusable Agent-Based Simulation Infrastructure
    Thomas GodfreySteffen Zschaler, Rahul Batra, and 4 more authors
    In 2023 Winter Simulation Conference, Dec 2023
    Also presented at ‘Modellierung 2024’
  2. Automatic Inference of Smart Data Discovery Interfaces for Rare Disease Datasets
    Artur Boronat, Adekunle Ademeyo, Mehdi Mehtarizadeh, and 1 more author
    In 3rd International Health Data Workshop (HEDA’23), 2023

2022

  1. A Methodology for DSML-assisted Participatory Agent-Based Enterprise Modelling
    Thomas Godfrey, Rahul Batra, Sam Douthwaite, and 3 more authors
    In 15th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modelling (PoEM’22), 2022