In a novel application of digital twin technology, researchers at Virginia Tech are developing a predictive system to model and mitigate burnout among physicians and nurses, an initiative grounded in systems engineering and data analytics that aligns closely with the principles of Operational Research.

Assistant Professor Taylan Topcu is leading a multidisciplinary team aiming to construct a digital twin system that can simulate stress trajectories among healthcare professionals. The goal is to identify early indicators of burnout and enable timely, targeted interventions. This system-centric approach seeks to address structural inefficiencies within the healthcare system, particularly the misalignment between administrative workload and meaningful clinical engagement.

“We want to analytically predict the burnout trajectory and track a burnout inventory for physicians and nurses,” said Topcu. By integrating data from daily routines, emotional stressors, and administrative demands, the team’s digital twin aims to replicate the dynamic states of healthcare workers, providing a decision-support framework to inform both individual and organisational responses.

Digital twins, virtual models that mirror the state and behaviour of physical systems, are increasingly used in manufacturing, supply chains, and infrastructure. This research extends their application into human-centric systems. Here, the “system” is the healthcare provider, embedded in a complex, interdependent environment of policies, technologies, and patients. By iterating potential interventions in silico, the research leverages simulation and optimisation tools to reduce the real-world cost of trial-and-error.

Topcu, whose background is in systems engineering rather than medicine, argues that the operational configuration of healthcare delivery is overdue for redesign. “The current system privileges low-value administrative tasks over high-value, emotionally resonant care,” he noted, pointing to inefficiencies that are not only wasteful but also detrimental to human well-being.

Burnout, defined operationally as a prolonged stress response to chronic workplace demands, is now endemic in the healthcare profession. A 2023 Mayo Clinic study reported that over 45% of physicians experienced at least one symptom of burnout, with implications ranging from reduced productivity and clinical errors to workforce attrition.

To inform their model, the team has gathered time-and-motion data from primary care providers in the Roanoke area, analysing task durations and cognitive loads associated with different categories of work. Unsurprisingly, electronic health records emerged as a significant source of burden, often displacing face-to-face patient interaction—a key factor in professional fulfilment.

Supporting the data analysis and systems design is Md Doulotuzzaman Xames, whose recent publication in IEEE Access explored the integration of engineering methodologies in healthcare settings. “The most compelling part of this research,” he said, “is its potential to create a more sustainable and equitable system by treating burnout as a system performance issue rather than an individual failing.”

The project has already yielded two peer-reviewed articles on the operationalisation of digital twins in healthcare contexts. These papers explore the methodological foundations of building responsive, data-driven systems that account for both objective metrics and subjective states, such as fatigue and job satisfaction, which are often excluded from traditional performance models.

Despite regulatory and data-access constraints, the team continues to build a functional prototype that incorporates both real-time and historical data. Their approach foregrounds the need for systems thinking: burnout is treated not as an isolated outcome, but as an emergent property of interlinked systemic pressures.

Future phases of the project include stakeholder interviews, system validation, and deployment of the model within a live clinical setting. Ultimately, the aim is to embed OR principles into the core of healthcare system design, balancing efficiency with empathy, and modelling not just operational flows, but the well-being of those who deliver care.

“This project is not just a technical exercise,” Topcu concluded. “It’s a reimagining of what healthcare systems should optimise for: not data alone, but sustainability, resilience, and human dignity.”

Related article:

Mental Resilience in Numbers -Driven Careers

Sources:

A report from the American Medical Association indicating a drop in physician burnout rates below 50% for the first time in four years:

https://www.ama-assn.org/practice-management/physician-health/physician-burnout-rate-drops-below-50-first-time-4-years 

Addressing health care provider burnout through digital twin systems:

https://medicalxpress.com/news/2025-05-health-burnout-digital-twin.html