Information has always been the heart of good healthcare. In our digital age however, we face a mountain of data that can feel more like its Achilles tendon. With 80% of data remaining unstructured1 and the amount of data we produce doubling each year2, the need to ‘digitalize healthcare’ is urgent. In simple terms, we can proactively use information technology (IT)—in all its forms—as a strategic tool to ease consolidation, facilitate standardization, and achieve the promise of value-based healthcare.
Instead of reactively wrestling with (or ignoring) the data they are drowning in, successful organizations are using IT to transform care delivery, to expand precision medicine, and to improve patient experiences. And, their approach isn’t limited to just the data they generate. They are also considering the software and/or programming tools available to both tame it and train it—as well as the 21st century technologies and infrastructure that can be used to aggregate, analyze, and share it.
The following practical examples demonstrate how IT helps manage and optimize clinical diagnostics from the core lab to the point of care. Join us at AACC to learn more about the powerful products behind these achievements and learn how Siemens Healthineers emerging Digital Ecosystem is helping healthcare providers turn data into actionable insights.
The first step in transforming your organization may be as simple as leveraging the capabilities of your existing IT investment. Join Jamie Gramz, Head of Global Marketing at Siemens Healthineers for Automation and Diagnostics IT, for a presentation at AACC to learn how several of our customers are already digitalizing healthcare. Our booth will feature a variety of IT offerings to help you obtain new levels of insight, improve workflow and decision-making, and leverage system-wide solutions to improve operations.
1 Schneider, C. “The biggest data challenges that you might not even know you have.” IBM.com. https://www.ibm.com/blogs/watson/2016/05/biggest-data-challenges-might-not-even-know 2 Marr, B. “Why AI Would Be Nothing Without Big Data.” Forbes. com. https://www.forbes.com/sites/bernardmarr/2017/06/09/why-ai-would-be-nothing-without-big-data/#1319f60f4f6d (accessed July 17, 2017); (accessed July 17, 2017)
The outcomes obtained by the Siemens customers described here were realized in the customer’s unique setting. Since there is no typical laboratory, and many variables exist, there can be no guarantee that others will achieve the same results.