Key result
Pathway optimization using Lean Six Sigma increased the percentage of patients receiving full pre-ablation preparation who eventually underwent AF ablation from 59% to 94% (P < 0.01).
Why the study?
The study was conducted to optimize the care pathway for patients considered for AF ablation, aiming to improve the patient journey and integrate prospective data collection into clinical practice.
Does an optimized care pathway improve process efficiency and data collection in patients considered for atrial fibrillation ablation?
Does an optimized care pathway improve process efficiency and data collection in patients considered for atrial fibrillation ablation?
Implementing a Lean Six Sigma-optimized care pathway for AF ablation evaluation significantly improves process efficiency, reduces hospital visits, and enhances prospective data collection.
Answers are grounded in this paper and cite their sources.
May improve AF ablation pathway efficiency; single-center Level 5 QI data leaves open need for broader validation.
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.
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Verhaert et al. (2022) studied Atrial fibrillation (n=59). Pathway optimization using Lean Six Sigma vs. Pre-existing process (before optimization) was evaluated on Percentage of patients receiving a full pre-ablation preparation that eventually underwent AF ablation (p=< 0.01). Pathway optimization using Lean Six Sigma increased the percentage of patients receiving full pre-ablation preparation who eventually underwent AF ablation from 59% to 94% (P < 0.01).
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