A recent article in the HealthIT Analytics newsletter noted that most healthcare organizations are looking to launch Big Data analytics projects to “improve clinical quality and reduce inefficiencies.”[1] That’s only natural considering the buzz surrounding the benefits of Big Data analytics.
However, the article goes on to say that many healthcare organizations face major challenges in ramping up their analytics program – specifically lack of qualified talent, issues with system interoperability and the basic question of where to begin the process.
There’s no doubt that Big Data analytics initiatives have proven valuable in uncovering actionable information in nearly every industry. That can also happen in healthcare, but hospitals and physician groups should understand that massive Big Data projects are not the only route to gaining the critical knowledge you need to improve the operation of your organization. You can also obtain significant insights from “little data” information that is readily available if you use the right tool.
At the Becker's 11th Annual IT + Revenue Cycle Conference: The Future of AI & Digital Health, taking place September 14–17 in Chicago, healthcare executives and digital leaders from across the country will come together to explore how AI, interoperability, cybersecurity, and revenue cycle innovation are transforming care delivery, strengthening financial performance, and driving the next era of digital health. Apply for complimentary registration now.
