2025_EML Capstone Projects

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academic research, case studies, and statistics from reputable organizations like the World Health Organization (WHO), the National Institutes of Health (NIH), and the Centers for Disease Control and Prevention (CDC). Access to these sources will help to contextualize findings and ensure a comprehensive understanding of industry trends and benchmarks. The data collection will use mixed methods, combining surveys and interviews to gain comprehensive insights into inventory management. Structured online questionnaires will gather quantitative data on inventory levels, turnover, stockouts, and user satisfaction. Semi-structured interviews with key stakeholders will provide qualitative insights into challenges and needs. Quantitative data will be analyzed using statistical software, applying descriptive and inferential statistics. At the same time, qualitative interview transcripts will undergo thematic analysis to identify recurring themes and patterns related to user experiences and system expectations. Key Insights: Healthcare Inventory Management: Key Challenges The analysis of current inventory challenges in the healthcare industry, as depicted in Figure 2 (below), reveals that inventory inaccuracy is the most significant issue, accounting for 30% of the challenges, followed by stockouts at 25%, poor demand forecasting at 20%, overstock at 15%, and supply chain disruptions at 10%. Inventory inaccuracy leads to downstream problems, including unexpected shortages, overordering, waste, and compliance issues. Stockouts, on the other hand, disrupt patient care and often result from poor tracking and supply chain delays. Poor demand forecasting contributes to both stockouts and overstock, highlighting the need for better analytics and data integration. Overstock ties up capital and increases waste, often due to inaccurate tracking and inefficient procurement, whereas supply chain disruptions, though less frequent, can have severe impacts during crises. These findings

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