This article shows there is no trade-off between quality and costs: Lean Six Sigma improves quality and, at the same time, reduces costs.

The DMAIC approach has proven to be a helpful strategy ensuring a significant decreasing of the LOS. Furthermore, through its implementation, a significant reduction of the average costs of hospital stay can be achieved. Such a versatile approach could be applied to improve a wide range of health care processes.

Health technology assessments (HTAs) are often difficult to conduct because of the decisive procedures of the HTA algorithm, which are often complex and not easy to apply. Thus, their use is not always convenient or possible for the assessment of technical requests requiring a multidisciplinary approach. This paper aims to address this issue through a multi-criteria analysis focusing on the analytic hierarchy process (AHP). This methodology allows the decision maker to analyse and evaluate different alternatives and monitor their impact on different actors during the decision-making process. However, the multi-criteria analysis is implemented through a simulation model to overcome the limitations of the AHP methodology. Simulations help decision-makers to make an appropriate decision and avoid unnecessary and costly attempts. Finally, a decision problem regarding the evaluation of two health technologies, namely, the evaluation of two biological prostheses for incisional infected hernias, will be analysed to assess the effectiveness of the model.

Purpose Since healthcare spending accounts for approximately 6.6 per cent of the gross domestic product, reducing waste in health facilities is necessary to generate significant cost savings. After previous work concerning the application of Lean Six Sigma (LSS) to hip surgery, the purpose of this paper is to use LSS as the correct methodology to analyse a clinical pathway. Fast track surgery was introduced to the Complex Operative Unit of Orthopaedic and Traumatology of the University Hospital “Federico II” to improve quality and further reduce costs associated with prosthetic hip replacement surgery. Design/methodology/approach The DMAIC (Define, measure, analyse, improve, control) roadmap was used as the typical problem-solving approach of the LSS methodology. A rigorous process of defining, measuring, analysing, improving and controlling business problems can be used to reach fixed goals. The paper was written following the Standards for Quality Improvement Reporting Excellence (SQUIRES Guidelines). Findings In this work, the authors found that multiple variables could influence the length of hospital stay (LOS) for inpatient treatment, thereby increasing patient management costs due to longer periods of hospitalisation. Therefore, LSS analysis of the implemented corrective actions demonstrated the efficacy and efficiency of the novel protocol. The average LOS was reduced from 10.66 to 7.8 days (−26.8 per cent). Originality/value The introduction of fast track surgery was validated through a rigorous LSS analysis, which demonstrated that the new protocol benefitted both patients and the hospital.