Supply Chain Tip of the Week: Using data analytics to improve patient care

A recent Q&A with Mike Alvarez, head of Digital Services at Fuse, discusses health systems’ increasing need for data analytics and decision support.

Fuse by Cardinal Health, an innovative engine, is working to create better support solutions for health systems. One question focused on recent advancements made in data analytics that can support patient outcomes and how these advancements will evolve moving forward. Alvarez shared the following:

“Data analytics has been around for decades but, like all technology, is changing more rapidly than ever in this technological age.  With the advancement in data science, we are seeing opportunities across the care continuum to make digital health products and services more intelligent and prescriptive. Artificial intelligence and machine learning is being embedded into products and services to get patients on life-saving medications as quickly as possible and ensure hospital systems optimize their drug spend. 

The change I am most excited about currently is the decentralization of data analytics, which is part operating model, part technology, and part mindset shift in how to deliver data to different stakeholders. Traditional data platforms have centralized control and generally look at data as a by-product rather than a product that can be enhanced and leveraged to build other products and services. We are building a decentralized data platform that puts control in the hands of the teams closest to the customer because we believe this is where problems are best solved.”

To read the full Q&A and find more supply chain tips visit our Supply Chain Center.

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