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Expect the Unexpected: Identifying Outliers in Your Supply Chain

By Barry Holleman As a healthcare supply chain professional, you want to support your organization’s strategic imperatives by becoming more agile, precise, and proactive. You understand the impact your department can have on improving cost, quality, and satisfaction, but too many visibility gaps stand in your way. You know outliers exist within your vast ecosystem …

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Predictive modelling, simulation, scenario planning

Predictive Modeling, Scenario Planning & Simulation in Healthcare Supply Chains

By Korina Fischer As the ability to amplify human intelligence with AI-driven decision support continues to evolve in the healthcare supply chain, the tide of transformation is rising. According to a recent analysis in the Harvard Business Review, “Across many industries, digitally transforming the supply chain has been shown to reduce process costs by 50% …

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Demand Sensing in the Healthcare Supply Chain Improves Accuracy, Agility & Action

Demand Sensing in the Healthcare Supply Chain: Improving Accuracy, Agility & Action By Barry Holleman Given the challenges Covid has brought to hospitals everywhere, it is unfortunate but not surprising that 99% of health systems surveyed by Kaufman Hall said they’ve “experienced challenges in supply procurement, including of key items and significant price increases” this …

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From Business Intelligence to Artificial Intelligence in the Healthcare Supply Chain

Business Intelligence v. Artificial Intelligence in the Healthcare Supply Chain By Barry Holleman Since the boom of big data in the late 1990s, healthcare supply chain managers have used increasingly sophisticated Business Intelligence tools to drive decisions. Today, Artificial Intelligence has emerged as the next ‘big thing’ for accessible decision support and clinical integration with …

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Healthcare data

The tales of dirty healthcare data – learnings for healthcare AI

Dirty data can easily derail any big data analytics project, especially when bringing together several healthcare data sources that may record clinical or operational elements in slightly different formats.  Several data conventions in healthcare hinder the widespread use of data analytics. Currently, health care data are split among different entities and have different formats such …

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