Work

Exploring the role of a systems approach in improving long-COVID clinics

Year: 2026

Type: article

Abstract: ABSTRACT: Long-COVID is a complex, multi-system condition with variable care across the UK. Using a systems and design engineering approach underpinned by Model-Based Systems Engineering (MBSE), this study examined Long-COVID clinic pathways through semi-structured interviews with 15 clinicians and patients. Thematic analysis identified five domains—attitudes, relationships, service integration, technology adoption, and safety netting. The final synthesised swimlane diagram revealed opportunities to improve coordination, operational efficiency, and patient safety within evolving care models.

Source: Proceedings of the Design Society

DOI: 10.1017/pds.2026.10539

Authors: Garret Tan, Tom Bashford, P. John Clarkson

Institutions: Barts Health NHS Trust, University of Cambridge, Cambridge University Hospitals NHS Foundation Trust

Language: English

Topic: Long-Term Effects of COVID-19

Subfield: Neurology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: hybrid

Estimated APC paid: