Healthcare organizations rely on many core applications to keep operations running, including electronic health record systems, customer relationship management tools and enterprise resource planning solutions, to name a few.
They’ve made a significant investment in these applications, and they’ve captured a lot of valuable data through them. Unfortunately, that can mean data is siloed in disconnected environments, unable to be leveraged for broader actionable insights.
Data quality and governance continue to be major areas of interest as healthcare organizations explore the role of artificial intelligence in their workflows, especially as they seek to support overextended clinical teams amid tight budgets.
Across industries, organizations are examining their data efforts as they prepare to implement generative AI solutions. A 2024 Harvard Business Review Analytic Services study sponsored by Amazon Web Services found that 49% of respondents are improving data quality and cleaning, and 41% are enhancing data governance policies and standards.
Healthcare is no different, and with AI at top of mind, the importance of a good data strategy will only grow.
Lee Pierce