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Abstracts by keywords: data space

Intelligent data use to combat supply shortages

Ensuring the continuous availability of medicines is crucial in healthcare, and supply shortages are a growing problem [1]. These are caused by global supply chain disruptions, production problems, and increasing demand [2], which can lead to significant supply problems and jeopardize patient care. Established inventory management and forecasting methods often reach their limits. According to the German Federal Institute for Drugs and Medical Devices (BfArM), a supply shortage is defined as "an interruption of delivery at the usual level lasting longer than two weeks or a significantly increased demand that cannot be adequately met" [1]. For patients, this becomes relevant when the prescribed medicine or an alternative medicine is not in stock and cannot be ordered from wholesalers in a timely manner. This would constitute a supply shortage. Legislation already addresses this problem in the Pharmacy Operations Ordinance, which stipulates: „[E]very pharmacy must keep in stock medicinal products and pharmacy-only medical devices sufficient to meet at least the average demand for one week“ (§ 15 ApBetrO). Furthermore, § 52b (1) of the German Medicines Act (AMG) states: „Pharmaceutical companies and operators of pharmaceutical wholesalers [...] shall ensure an adequate and continuous supply of the medicinal product so that the needs of patients within the scope of this Act are met.“

05.10.2025

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