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The reduction of costs has a more and more relevant role in the healthcare context, therefore, a large effort is done by health providers to this aim, for example, by reducing the length of hospital stay (LOS) of patients undergoing surgery. Fast track surgery fits perfectly this issue and was applied to patients undergoing knee replacement surgery due to Osteoarthritis, one of the most common diseases of aged population. The paper aims to discuss these issues.

Lean six sigma was applied to analyze the implementation of fast track surgery through the define, measure, analyze, improve, control roadmap, used as a typical problem-solving approach. It is characterized by five operational phases, which make possible the achievement of fixed goals through a rigorous process of defining, measuring, analyzing, improving and controlling business problems.

The corrective action, consisting in the application of fast track surgery, improved both effectiveness and efficiency of the process of care. The average length of hospital stay (LOS) was reduced from 8.34 to 6.68 days (–19.9 percent) and its standard deviation from 2.41 to 1.99 days (–17.1 percent). The statistical significance of this decrease was verified by means of proper tests. Moreover, some variables influencing the LOS were identified.

The follow up and the satisfaction of patients were not analyzed and could be a future development of this study.

Patients will experience a faster recovery while the hospital will benefit from a rise of available beds. The effect is a general improvement of hospital management.

The introduction of fast track surgery for patients undergoing knee replacement surgery made significantly reduce LOS and, consequently, costs’ with a money saving of more than 50,000 euro per year.

Head and neck cancers are multi-factorial diseases that can affect many sides of people's life and are due to a lot of risk factors. According to their characteristics, the treatment can be surgical, use of radiation or chemotherapy. The use of a surgical treatment can lead to surgical infections that are a main theme in medicine. At the University hospital of Naples “Federico II”, two antibiotics were employed to tackle the issue of the infections and they are compared in this paper to find which one implies the lowest length of hospital stay (LOS) and the reduction of infections.

The Six Sigma methodology and its problem-solving strategy DMAIC (define, measure, analyse, improve, control), already employed in the healthcare sector, were used as a tool of a health technology assessment between two drugs. In this paper the DMAIC roadmap is used to compare the Ceftriaxone (administered to a group of 48 patients) and the association of Cefazolin plus Clindamycin (administered to a group of 45 patients).

The results show that the LOS of patients treated with Ceftriaxone is lower than those who were treated with the association of Cefazolin plus Clindamycin, the difference is about 41%. Moreover, a lower number of complications and infections was found in patients who received Ceftriaxone. Finally, a greater number of antibiotic shifts was needed by patients treated with Cefazolin plus Clindamycin.

While the paper enhances clearly the advantages for patients' outcomes regarding the LOS and the number of complications, it did not analyse the costs of the two antibiotics.

Employing the Ceftriaxone would allow the Department of Maxillofacial Surgery to obtain lower LOS and a limited number of complications/infections for recovered patients, consequently reducing the hospitalization costs.

There is a double value in this paper: first of all, the comparison between the two antibiotics gives an answer to one of the main issues in medicine that is the reduction of hospital-acquired infections; secondly, the Six Sigma through its DMAIC cycle can be employed also to compare two biomedical technologies as a tool of health technology assessment studies.

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.

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).

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).

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.

The rise of the mean age incremented the occurrence of femur fractures with respect to the past, leading thus to serious consequences, as regards morbidity and socio-economic impact. The direction of the A.O.R.N. Cardarelli of Naples has introduced a DTAP whose aim was the reduction of LOS. The paper aims to discuss this issue.

The aim of this paper is to analyze the introduction of DTAP, employing Lean Thinking and Six Sigma methodology based on the DMAIC cycle. To evaluate the effectiveness of DTAP, two groups of patients have been observed for 14 months (before and after the implementation of DTAP).

Statistical tests were performed on the groups and graphics were provided to visualize the decrease of LOS (29.9 per cent). The overall population was also divided in subgroups according to six variables potentially influencing LOS.

Authors considered six variables of influences; yet, others could be taken into account in the future.

The decrease of costs due to the management of elderly patients with femur fracture, the optimization of care processes in hospitals and a faster recovery for patients is the tangible contribute of DTAP.

The implementation of DTAP allowed the hospital to obtain a significant reduction of LOS with a consequently decrease of costs alleviating the hospital and the society from the socio-economic burden and the morbidity of this pathology.

The best treatment for femur fractures is the surgical one within 48 h from the admission to the hospital. These fractures have serious consequences, both in terms of morbidity and socio-economic impact. In the hospital A.O.R.N. Cardarelli of Naples in Italy, the mean pre-operative length of hospital stay (LOS) was nine days and just 4 per cent of patients was operated within the suggested time. Therefore, a diagnostic-therapeutic-assistance path (DTAP) was implemented to improve the process.

This paper analyzes two groups of patients (534 and 562, respectively) before and after the introduction of DTAP, through six sigma (SS) based on define, measure, analyze, improve and control cycle. Age, gender, American Society of Anaesthesiologists (ASA) score, cardiovascular diseases, diabetes and allergies were used as independent subgrouping variables. The t-tests and chi-square were performed to compare the groups, tools of SS were used.

The analyses were conducted considering overall patients and some subgroups. The overall reduction in LOS was about 54 per cent, patients without cardiovascular diseases and with a low ASA score had the highest reduction, more than 60 per cent. All the p-values proved a high statistically significant difference between the two groups.

The influence of the Italian health-care system is a minor limitation while, unfortunately, the lack of a follow-up did not allow quantifying the real gain in health of patients. A lean thinking analysis would suit this context.

There are practical advantages for both hospital and patients: the hospital will have an increase in admissions and more beds available, while patients will benefit of a faster intervention and a shorter wait.

This is the first analysis through SS of DTAP showing its positive influences in terms of both socio-economic impact and patients’ outcome. Policy leaders could use this study as an example to evaluate the introduction of the same clinical pathway in other health facilities.

Health care organisations implement lean six sigma (LSS) methodology to achieve improved performance in terms of cost, quality and productivity. However, the way it gets implemented differs between organisations. Hence, this paper deal with a review of case studies describing the implementation of LSS in health care organisations to understand the nuances of implementation and identify future research directions.

The journal articles indexed in the Web of Science and Scopus database were filtered out. In total, 154 articles were evaluated using specific structural dimensions to categorise the literature into various groups, and content analysis was performed to synthesise the same.

This review revealed that the number of articles publishing the application of LSS in health care has been increasing in the last five years. Academic hospitals play a pivotal role to bridge the gap between LSS theory and practice. Despite this fact, certain themes remain unexplored. Not many studies are available that document the application of LSS in non-clinical areas such as pharmacy, internal logistics, maintenance and medical records. Only 20% of articles mentioned the post-intervention data up to three years, thus questioning the sustainability aspect of the achieved improvements.

Various research gaps were identified, which can be used by the researchers to build the body of knowledge in the domain of LSS in health care.

This review provides a diversified view regarding the utility of LSS in the health care scenario. The findings will provide valuable insights for the health care practitioners regarding tools, techniques, drivers and performance measures.

To the best of the authors’ knowledge, this is the first study to review only the case studies that describe the implementation of LSS in the health care sector.

The goal was to improve the quality of the hospitalization process and the management of patients, allowing the reduction of costs and the minimization of the preoperative Length of Hospital Stay (LOS).

The methodology used to improve the quality of the hospitalization process and patient management was Lean Thinking. Therefore, the Lean tools (Value stream map and Ishikawa diagram) were used to identify waste and inefficiencies, improving the process with the implementation of corrective actions. The data was collected through personal observations, patient interviews, brainstorming and from printed medical records of 151 patients undergoing oral cancer surgery in the period from 2006 to 2018.

The authors identified, through Value Stream Map, waste and inefficiencies during preoperative activities, consequently influencing preoperative LOS, considered the best performance indicator. The main causes were identified through the Ishikawa diagram, allowing reflection on possible solutions. The main corrective action was the introduction of the pre-hospitalization service. A comparative statistical analysis showed the significance of the solutions implemented. The average preoperative LOS decreased from 4.90 to 3.80 days (−22.40%) with a p-value of 0.001.

The methodology allowed to highlight the improvement of the patient hospitalization process with the introduction of the pre-hospitalization service. Therefore, by adopting the culture of continuous improvement, the flow of hospitalization was redrawn. The benefits of the solutions implemented are addressed to the patient in terms of lower LOS and greater service satisfaction and to the hospital for lower patient management costs and improved process quality. This article will be useful for those who need examples on how to apply Lean tools in healthcare.

One of the biggest challenges in the health sector is that of costs compared to economic resources and the quality of services. Hospitals register a progressive increase in expenditure due to the aging of the population. In fact, hip and knee arthroplasty surgery are mainly due to primary osteoarthritis that affects the elderly population. This study was carried out with the aim of analysing the introduction of the fast track surgery protocol, through the lean Six Sigma, on patients undergoing knee and hip prosthetic replacement surgery. The goal was to improve the arthroplasty surgery process by reducing the average length of stay (LOA) and hospital costs

Lean Six Sigma was applied to evaluate the arthroplasty surgery process through the DMAIC cycle (define, measure, analyse, improve and control) and the lean tools (value stream map), adopted to analyse the new protocol and improve process performance. The dataset consisted of two samples of patients: 54 patients before the introduction of the protocol and 111 patients after the improvement. Clinical and demographic variables were collected for each patient (gender, age, allergies, diabetes, cardiovascular diseases and American Society of Anaesthesiologists (ASA) score).

The results showed a 12.70% statistically significant decrease in LOS from an overall average of 8.72 to 7.61 days. Women patients without allergies, with a low ASA score not suffering from diabetes and cardiovascular disease showed a significant a reduction in hospital days with the implementation of the FTS protocol. Only the age variable was not statistically significant.

The introduction of the FTS in the orthopaedic field, analysed through the LSS, demonstrated to reduce LOS and, consequently, costs. For each individual patient, there was an economic saving of € 445.85. Since our study takes into consideration a dataset of 111 patients post-FTS, the overall economic saving brought by this study amounts to €49,489.35.

The purpose of this paper is to apply Lean in the workers’ compensation industry. It focuses on identifying patterns of repetitive non-value-added transnational activities for physical-therapy patients and healthcare providers. It addresses the research gap in this field.

In this study, we designed and deployed multiple case studies to better understand the journey of an injured worker within the worker compensation system in the United States of America. We partnered with Concentra Inc., a leading national healthcare provider in the field of workers’ compensation having 520 medical centers in 44 states. Both case studies included conducting direct observations, Gemba walk, in five clinics in two states: Florida and Pennsylvania. We analyzed the data of 263 injured workers with 8 or more physical therapy visits who got admitted to Concentra clinics in both states over the period of 31 days.

The results revealed that the time intervals at which activities associated with physical therapy treatment pre-authorization accounted for 91.59% of the total non-value-added activities and are thus the key administrative factor leading to process inefficiency in the state of Florida. The Process Cycle Efficiency of Pennsylvania was 75.36% compared to 53.16% of Florida. The injured workers in Florida needed 39.58 days on average to complete eight physical therapy visits compared to 27.92 days in Pennsylvania (a median of 34.09 vs 22.15 days).

This study is limited as it only focuses on processes on the healthcare provider side. An expanded value stream map that includes the treatment pre-authorization process on the insurance side would be beneficial for generating more potential solutions to streamline the process.

This study shows that Lean could play a critical role in identifying and quantifying continuous improvement opportunities that could accelerate patient’s treatment, reduce administrative burden on healthcare providers and improve the overall claim cost of insurance companies. It provides data-driven argument for insurance companies to consider eliminating physical therapy pre-authorization.

This is the first study to apply Lean methodology in the workers’ compensation field.