| Autor: |
Angelo Marra, Antonio Della Vecchia, Arianna Scala, Anna Borrelli, Teresa Angela Trunfio |
| Přispěvatelé: |
Tomaz Jarm, Aleksandra Cvetkoska, Samo Mahnič-Kalamiza, Damijan Miklavcic, Scala, Arianna, Angela Trunfio, Teresa, Della Vecchia, Antonio, Marra, Angelo, Borrelli, Anna |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
8th European Medical and Biological Engineering Conference ISBN: 9783030646097 |
| Popis: |
Timeliness in the treatment of fracture of the femur, through surgery, is crucial in the elderly patient as it reduces the risk of mortality and disability. Here we propose a Lean Six Sigma (LSS) approach to reduce the preoperative length of stay for patients with femur fracture. Through the LSS, a tailored Diagnostic Therapeutic Assistance Path (DTAP) for these has been implemented and monitored over time. In particular, through the analysis, based on the application of the DMAIC cycle conducted on data extrapolated from the information system of the “San Giovanni di Dio e Ruggi d’Aragona” University Hospital of Salerno, the new DTAP was designed and implemented. After the introduction of the DTAP, a significant reduction in the average length of hospital stay was observed, with a preoperative length of stay within 48 h in 65% cases (compared to the previous 9%). In particular, the most significant reduction (over 55%) is obtained for patients aged over 65 years old. Such a result reflects not only the improvement in the care process but it is also compliant with the guidelines of the Italian Ministry of Health, as reported in the New Guarantee System for monitoring the quality of care. © 2021, Springer Nature Switzerland AG. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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