Abstract Aims In this quality improvement project, a care pathway for patients considered for atrial fibrillation (AF) ablation was optimized with the goals to improve the patient journey and simultaneously integrate prospective data collection into the clinical process. Methods and results The Lean Six Sigma approach was used to map the pre-existing process, identify constraints, and formulate countermeasures. The percentage of patients going through the full pre-ablation preparation that eventually underwent AF ablation, number of hospital visits and consultations, pathway compliance, and completeness of scientific data were measured before and after pathway optimization. Constraints in the process were (i) lack of standardized processes, (ii) inefficient use of resources, (iii) lack of multidisciplinary integration, (iv) lack of research integration, and (v) suboptimal communication. The impact of the corresponding countermeasures (defining a uniform process, incorporating ‘go/no-go’ moment, introducing a ‘one-stop-shop’, integrating prospective data collection, and improving communication) was studied for 33 patients before and 26 patients after pathway optimization. After optimization, the percentage of patients receiving a full pre-ablation preparation that eventually underwent AF ablation increased from 59% to 94% (P < 0.01). Fewer hospital visits (3.2 ± 1.2 vs. 2.3 ± 0.8, P = 0.01) and electrophysiologist consultations (1.8 ± 0.7 vs. 1.0 ± 0.3, P < 0.01) were required after pathway optimization. Pathway compliance and complete collection of scientific data increased significantly (3% vs. 73%, P < 0.01 and 15% vs. 73%, P < 0.01, respectively). Conclusion The optimization project resulted in a more efficient evaluation of patients considered for AF ablation. The new more efficient process includes prospective data collection and facilitates easy conduct of research studies focused on improvements of patient outcomes.