The extra effort of clinicians’ to provide care to their patients, which is a manifestation of resilience, usually goes unnoticed due to successful outcomes that occur most of the time. Therefore, clinicians’ self-sacrifice and overreliance on resilience become “normal work”. This study investigates the workload implications of resilient healthcare in the radiology department of a major teaching hospital. The centrality of each clinician in four ability-based social networks was considered a proxy of each actor’s contribution to the overall system resilience. As such, a resilience score was calculated for each actor in each ability-based network, combining five indicators theoretically connected to the actor’s resilience: in-degree, closeness, and betweenness, which are derived from social network analysis, and availability and reliability, which are non-network attributes assessed through Likert-style questions. In turn, the individual workload was assessed based on the NASA-TLX questionnaire, which produces indicators related to six dimensions of workload (besides overall score). The questionnaires were answered by 155 out of the 220 staff of the radiology department. Follow-up interviews with 10 respondents were conducted to understand the influence of contextual factors on the actors’ workload. Preliminary data analysis indicates the actor’s overall workload with the higher and lower resilience scores is similar. As another finding, mental demand was the major workload dimension significantly correlated to the resilience score. Furthermore, actors that take the initiative to help their coworkers had a higher overall workload. Overall, our findings indicated that social interactions related to the four resilience abilities mattered to the workload of the professionals surveyed. The adopted research method is expected to be replicable to other settings. It might be a new approach for the analysis of the human costs of resilient performance.