Use of Predictive Analytics in Healthcare Demand Planning (Cell Therapy)

Author(s)	Ashish Patil
Country	United States
Abstract	The growing field of cell therapy offers promising treatments for various diseases, including cancers and genetic disorders. However, the unique nature of its supply chain, particularly in demand planning, presents unique challenges. This paper provides a brief overview of the cell therapy supply chain, highlighting the critical role of demand planning. It looks at methodologies, explores the integration of predictive analytics in demand planning space by weighing and comparing various modeling approaches and assesses how such advancements can enhance forecasting accuracy. The discussion further delves into the broader implications of improved demand planning on the cell therapy sector and the healthcare industry at large
Field	Engineering
Published In	Volume 7, Issue 2, March-April 2025
Published On	2025-03-19
DOI	https://doi.org/10.36948/ijfmr.2025.v07i02.40686
Short DOI	https://doi.org/g9bthh

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International Journal For Multidisciplinary Research