Dr. Mohammed Sallam
With over 25 years of experience in Pharmaceutical and Healthcare Management, Dr. Mohammed Sallam has been the Pharmacy Manager and Head of the Department at Mediclinic Middle East, Dubai-UAE, since 2003. He is part of various committees within the Mediclinic Group, including the Senior Leadership Team and the Research Advisory Group. He leads the Hospital’s Pharmacy & Therapeutics Committee and the Medication Management Team. He has experience in preparing policies, analyzing data, establishing and setting up standards for hospital and pharmacy services to obtain quality accreditation such as JCI & ISO, establishing the drug formulary, implementing hospital information systems, and implementing lean management practices and tools to improve operation and business processes.
Dr. Sallam obtained a Doctorate of Management (PhD) from the School of Business, International American University, USA. Additionally, he holds an MSc in Pharmaceutical Sciences from the University of Jordan, an Executive Education Management Development Master from Hult International Business School, a Supply Chain Management Master from INSEAD Business School, and an Executive MBA from Curtin University Dubai. He is a member of the American Society for Quality (ASQ), The American Society of Health-System Pharmacists (ASHP), and The Society of Hospital Pharmacists of Australia (SHPA). He has obtained many certifications, a certified purchasing professional, a Six Sigma black belt, and good clinical practice certificates. Dr. Sallam is a registered professional pharmacist in Jordan and UAE and an active member of the Jordan Pharmacists Association. In his various experiences, he was extensively involved in teaching and published many research articles. He has a passion for education and serves as a College of Pharmacy Advisory Board member at different UAE Universities, such as Sharjah and Ajman Universities.
Dr. Sallam obtained a Doctorate of Management (PhD) from the School of Business, International American University, USA. Additionally, he holds an MSc in Pharmaceutical Sciences from the University of Jordan, an Executive Education Management Development Master from Hult International Business School, a Supply Chain Management Master from INSEAD Business School, and an Executive MBA from Curtin University Dubai. He is a member of the American Society for Quality (ASQ), The American Society of Health-System Pharmacists (ASHP), and The Society of Hospital Pharmacists of Australia (SHPA). He has obtained many certifications, a certified purchasing professional, a Six Sigma black belt, and good clinical practice certificates. Dr. Sallam is a registered professional pharmacist in Jordan and UAE and an active member of the Jordan Pharmacists Association. In his various experiences, he was extensively involved in teaching and published many research articles. He has a passion for education and serves as a College of Pharmacy Advisory Board member at different UAE Universities, such as Sharjah and Ajman Universities.
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Papers by Dr. Mohammed Sallam
mellitus (DM), pose major global health challenges. Generative artificial
intelligence (genAI) models are increasingly used for patient self-help. This study
aimed to evaluate the performance of two genAI models, ChatGPT and Microsoft
Copilot, in addressing endocrine-related queries in English and Arabic.
Materials and Methods: This descriptive study adhered to the METRICS
checklist for genAI-based healthcare studies, comparing responses from
ChatGPT-4o and Microsoft Copilot to 20 endocrine-related queries in English and
Arabic (15 DM queries in addition to five endocrine queries). The responses were
evaluated using the CLEAR tool, which assessed completeness, accuracy, and
relevance/appropriateness. Three endocrinology experts independently evaluated
the genAI outputs.
Results: Per language and model, a total of 80 responses were assessed. Inter
rater reliability was high with Intraclass Correlation Coefficient=0.832.
ChatGPT-4o consistently outperformed Microsoft Copilot, earning 'Excellent'
ratings in English and ‘Very good’ in Arabic, while Microsoft Copilot achieved
‘Very good’ ratings in English and ‘Good’ to ‘Very good’ ratings in Arabic.
ChatGPT-4o surpassed Microsoft Copilot in completeness (4.38 vs. 3.36, p<.001,
Mann-Whitney U test (M-W)), accuracy (4.18 vs. 3.83, p=.014, M-W), and
relevance (4.44 vs. 3.82, p<.001, M-W). Performance varied significantly
between English and Arabic responses, with p<.001 for completeness, p=.001 for
accuracy, p=.012 for relevance, and p<.001 for the overall CLEAR score using
the M-W test. No statistically significant differences were found based on the
query topic.
Conclusions: ChatGPT-4o outperformed Microsoft Copilot in all CLEAR
components, but notable language-based disparities were evident. Addressing
these limitations is crucial to ensure equitable access to endocrine care for non
English-speaking patients.
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.
mellitus (DM), pose major global health challenges. Generative artificial
intelligence (genAI) models are increasingly used for patient self-help. This study
aimed to evaluate the performance of two genAI models, ChatGPT and Microsoft
Copilot, in addressing endocrine-related queries in English and Arabic.
Materials and Methods: This descriptive study adhered to the METRICS
checklist for genAI-based healthcare studies, comparing responses from
ChatGPT-4o and Microsoft Copilot to 20 endocrine-related queries in English and
Arabic (15 DM queries in addition to five endocrine queries). The responses were
evaluated using the CLEAR tool, which assessed completeness, accuracy, and
relevance/appropriateness. Three endocrinology experts independently evaluated
the genAI outputs.
Results: Per language and model, a total of 80 responses were assessed. Inter
rater reliability was high with Intraclass Correlation Coefficient=0.832.
ChatGPT-4o consistently outperformed Microsoft Copilot, earning 'Excellent'
ratings in English and ‘Very good’ in Arabic, while Microsoft Copilot achieved
‘Very good’ ratings in English and ‘Good’ to ‘Very good’ ratings in Arabic.
ChatGPT-4o surpassed Microsoft Copilot in completeness (4.38 vs. 3.36, p<.001,
Mann-Whitney U test (M-W)), accuracy (4.18 vs. 3.83, p=.014, M-W), and
relevance (4.44 vs. 3.82, p<.001, M-W). Performance varied significantly
between English and Arabic responses, with p<.001 for completeness, p=.001 for
accuracy, p=.012 for relevance, and p<.001 for the overall CLEAR score using
the M-W test. No statistically significant differences were found based on the
query topic.
Conclusions: ChatGPT-4o outperformed Microsoft Copilot in all CLEAR
components, but notable language-based disparities were evident. Addressing
these limitations is crucial to ensure equitable access to endocrine care for non
English-speaking patients.
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.