Improving Efficiency in Hospital Pharmacy Services: An Integrated Strategy Using the OCTAGON-P Framework and Lean 5S Management Practices
Notice bibliographique
Résumé
Background Hospital pharmacy departments have a critical role in the healthcare system, as they aim to provide excellent patient services while also ensuring cost-effectiveness. Lean methodologies are well-known for improving efficiency and quality in various industries, but their impact on healthcare, particularly in hospital pharmacy settings, has not been thoroughly investigated. Aim This quality improvement (QI) study aimed to assess the impact of implementing the sort, set in order, shine, standardize, and sustain (5S) methodology using the innovative orientation, coordination, training, awareness, governance, observation, normalization, and promotion (OCTAGON-P) framework on the operations of Mediclinic Parkview Hospital (MPAR) Pharmacy in Dubai, UAE. Methods The QI project spanned a period of six weeks, from December 18th, 2023, to January 28th, 2024. Throughout this period, a new novel OCTAGON-P framework's eight crucial elements were methodically integrated. Simultaneously, an extensive preparation process encompassing the five stages of the 5S method was carried out. Results The findings indicated a notable enhancement in organization, orderliness, cleanliness, medication storage, and workspace standardization. The significant improvement of 217% in terms of organization highlighted the effectiveness of resource arrangement. The orderliness of the workspace saw an increase of 800%, indicating a transformation in the systematic organization. Additionally, cleanliness improved by 138%, demonstrating a significant advancement in maintaining a spotless environment. The standardization of processes experienced a boost of 300%, reflecting a solidified approach to consistent operational methods. These refinements resulted in an overall improvement of 90% from the initial baseline of 20% on the 5S checklist scores. Efficiency gains were observed, with outpatient medication retrieval times reduced by 50%, inpatient times by 40%, emergency prescription serving by 16.7%, and pediatric prescription serving by 11%. The inpatient medication return process saw a 67% improvement. Patient counseling time increased by 23.3%, indicating a more patient-centered approach. Prescription verification and medication expiry checks increased by 50% and 200%, respectively, enhancing the quality of care. Inventory management efficiency improved by 36%, and medication label printing time decreased by 70% with the additional label printers. Installing extra medication label printers was done through the OCTAGON-P framework, specifically in the "orientation" and "coordination" phases. These two initial phases focused on leadership's 5S orientation, management support, and securing additional resources. Therefore, the OCTAGON-P framework provided a structured approach that promoted continuous improvement and sustained lean practices. Conclusion This research study presented the remarkable effectiveness of the OCTAGON-P framework in structurally implementing the 5S methodology into hospital pharmacy operations. The findings underscored the potential of lean 5S to enhance and optimize operational efficiency and overall quality within the critical environment of hospital pharmacy settings. Consequently, these improvements can conclusively result in the provision of superior and enhanced patient care, which is truly fundamental and central to the mission and objectives of any healthcare institution.
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Comment cette classification a été obtenuedéplier
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Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,015 | 0,009 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,005 | 0,003 |
| Études des sciences et des technologies | 0,002 | 0,004 |
| Communication savante | 0,009 | 0,004 |
| Science ouverte | 0,002 | 0,007 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».