What Is Data Readiness? In simple language, it consists of all the tasks required to ensure that artificial intelligence (AI) platforms learn from reliable and relevant data sources.
What is the state of data readiness in healthcare? According to a recent report, lack of data readiness is preventing healthcare leaders from driving rapid, effective, measurable and sustainable transformation and this impedes their ability to execute.
Over 90 percent of healthcare executives mention prepping for data readiness as their top priority. A vast majority of them are planning to invest in technologies designed to improve data readiness and support systemic interoperability. According to the report, in addition to financial issues and staffing capacity crunch, interoperability is another issue that is blocking innovation. Interoperability is key for a seamless transition achievable through unlocking the full potential of artificial intelligence (AI) in healthcare.
As in financial, auto and other industries, AI is expected to have a huge impact on health care delivery, access and on financial and clinical outcomes in health. Healthcare as an industry transitions to newer systems at a much slower pace. Tendency is to pour money into older technologies that tend to create more data silos, as remarked by Abhinav Shashank, co-founder & CEO of Innovaccer.
The crisis is so acute and the promise of closing the data readiness gap to realize the full potential of digital transformation is so immense that it is imperative to act on it.
An exciting panel at @TiEcon2022 moderated by Chris Waugh, Chief Innovation Officer at Sutter Health with panelists Prat Vemana, Chief Digital Officer at Kaiser Permanente and Abhinav Shashank, Founder & CEO at Innovaccer will address the challenges and opportunities of data readiness in healthcare and the promise it holds in enhancing industry collaboration to improve outcomes and reducing costs.
Register ASAT at www.tiecon.org to avail of early bird incentives.
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