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Title
Personalizing pharmacy care to improve patient outcomes
…emo Login Contact Us Try Databricks Customer Stories / Walgreens CUSTOMER STORY Personalizing pharmacy care to improve patient outcomes 825 Million prescriptions delivered across 9,000 locations $ Millions saved in…
Description
Walgreens migrated off legacy Teradata and Hadoop infrastructure to the Databricks Data + AI Platform to build an Information, Data, and Insights (IDI) platform processing 40,000 data events per second, forecasting medication demand and delivering near real-time patient insights to pharmacists across nearly 9,000 locations serving 825 million prescriptions annually. This saved millions of dollars in supply chain costs and increased store productivity by 20%.
…ient information at the point of care. Using the Databricks Data + AI Platform, Walgreens created an intelligent data platform that is able to forecast demand and redistribute medications across its network of nearly 9,000 pharmacies, while delivering near real-time insights and recommendations for pharmacists to help provide more personalized advice to patients. On Databricks, every Walg…
…algreens CUSTOMER STORY Personalizing pharmacy care to improve patient outcomes 825 Million prescriptions delivered across 9,000 locations $ Millions saved in supply chain costs Watch video As an innovator in retail ph…
Company
Walgreens
…vered across 9,000 locations $ Millions saved in supply chain costs Watch video As an innovator in retail pharmacy, Walgreens uses technology and a human touch to enhance patient experiences that lead to better outcomes. Walgreens’ vision was to ensure that the right medications were always on shelv…
Industry
Healthcare
…optimization and specialized clinical care initiatives. Share this post Details Industry : Healthcare and Life Sciences , Retail and Consumer Goods Use Case : Data Science , Data Warehousing , Data Engineering Cloud : Azure Pro…
Problem
Walgreens legacy on-premises solution was built on Teradata and Hadoop technologies that were both costly and unable to scale. Models were built on old data, they could not be updated in a timely fashion, and were difficult to deploy. There was about a 48-hour turnaround time to make the data from store operations usable, and limited insights into the supply chain resulted in both online and in-store order issues and miscalculated inventory levels.
…not have the ability to process it efficiently to produce actionable insights. Walgreens legacy on-premises solution was built on Teradata and Hadoop technologies that were both costly and unable to scale to support new business requirements. Models were built on old data, they could not be updated in a timely fashion, a…
…were difficult to deploy, which made them almost obsolete to data scientists. “There was about a 48-hour turnaround time to make the data from store operations usable and useful. Once we got it, we didn’t really have an efficient or effective way to make it…
Solution
Using the Databricks Data + AI Platform, Walgreens created an intelligent data platform that is able to forecast demand and redistribute medications across its network of nearly 9,000 pharmacies, while delivering near real-time insights and recommendations for pharmacists. The platform notifies pharmacists of potential drug interactions, changes in drug profiles, and other notes to discuss with patients during prescription refills.
…hain insights as well as personalized patient information at the point of care. Using the Databricks Data + AI Platform, Walgreens created an intelligent data platform that is able to forecast demand and redistribute medications across its network of nearly 9,000 pharmacies, while delivering near real-time insights and recommendations for pharmacists to help provide more personalized advice to patients. On Databricks, every Walgreens pharmacist can personalize patient care using ne…
…access to patient data alongside drug facts to drive safer drug administration. The platform notifies pharmacists of potential drug interactions, changes in drug profiles, and other notes to discuss with patients during prescription refills. “Data that comes from the store goes back to the store in a much more actionabl…
Business value
Walgreens has optimized their supply chain by right-sizing inventory levels to save millions of dollars. Store stocking requirements are now determined by data, along with modern demand planners in updated pharmacy systems. These tools have increased productivity by 20%.
…upply to point-of-service Since migrating to the Databricks Data + AI Platform, Walgreens has optimized their supply chain by right-sizing inventory levels to save millions of dollars. Now processing 40,000 data events per second, Walgreens has the scalability to…
…ond, Walgreens has the scalability to apply data insights for significant wins. Store stocking requirements are now determined by data, along with modern demand planners in updated pharmacy systems. These tools have increased productivity by 20%. Not only do data efficiencies give pharmacists more time with patients, but the…
AI capabilities
Predictive Analytics
…ient information at the point of care. Using the Databricks Data + AI Platform, Walgreens created an intelligent data platform that is able to forecast demand and redistribute medications across its network of nearly 9,000 pharmacies, while delivering near real-time…
Technology
Databricks SQL, Delta Lake
…ods Use Case : Data Science , Data Warehousing , Data Engineering Cloud : Azure Product : Databricks SQL , Delta Lake More from Walgreens Ready to get started? Try Databricks for free Learn more ab…
Deployment model
Azure
…nd Consumer Goods Use Case : Data Science , Data Warehousing , Data Engineering Cloud : Azure Product : Databricks SQL , Delta Lake More from Walgreens Ready to get started?…
Deployment options
cloud
…nd Consumer Goods Use Case : Data Science , Data Warehousing , Data Engineering Cloud : Azure Product : Databricks SQL , Delta Lake More from Walgreens Ready to get started?…
Headline outcome
…ermined by data, along with modern demand planners in updated pharmacy systems. These tools have increased productivity by 20%. Not only do data efficiencies give pharmacists more time with patients, but the…
Use case type
Decision support
…d redistribute medications across its network of nearly 9,000 pharmacies, while delivering near real-time insights and recommendations for pharmacists to help provide more personalized advice to patients. On Databricks, every Walgreens pharmacist can personalize patient care using n…
