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| Six Sigma dans le domaine de la santé× | Simulation de flux de patients× | |
|---|---|---|
| Domaine | Gestion des soins de santé | Gestion des soins de santé |
| Famille | Process / pipeline | Process / pipeline |
| Année d'origine≠ | 1986 | 1990 |
| Auteur d'origine≠ | Motorola, Bill Smith, Mikel Harry | Operations research and management science |
| Type≠ | Statistical quality improvement methodology | Discrete event simulation technique |
| Source fondatrice≠ | Harry, M. J., & Schroeder, R. (2000). Six Sigma: The Breakthrough Management Strategy. Currency. ISBN: 9780385494015 | Pidd, M. (1992). Computer Simulation in Management Science (3rd ed.). John Wiley & Sons. ISBN: 9780471939314 |
| Alias | Six Sigma Healthcare, DMAIC Healthcare | Healthcare DES, Patient Movement Simulation |
| Apparentées | 5 | 5 |
| Résumé≠ | Six Sigma is a data-driven quality improvement methodology originating at Motorola in 1986 that aims to reduce process variation and defects to achieve near-perfect quality (3.4 defects per million opportunities). In healthcare, Six Sigma uses statistical analysis and structured project methodology (DMAIC: Define-Measure-Analyze-Improve-Control) to reduce errors, improve safety, and enhance patient outcomes. | Discrete Event Simulation (DES) is a computational technique that models the movement of patients through healthcare facilities by simulating individual patient journeys and interactions with resources (staff, beds, equipment). DES allows realistic representation of complex, stochastic healthcare processes and supports 'what-if' analysis without disrupting live operations. |
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