As healthcare organizations move toward value-based care, one of the most common questions I hear is: How can we implement an analytics solution faster?
Many people are understandably eager to use analytics to achieve cost savings, quality improvements and other results that support their value-based initiatives. However, complex and rapidly changing challenges stand in the way.
To help you get around these roadblocks and get to results faster, here’s a look at what we’ve learned bringing organizations around the country up to speed with analytics.
- Little + big = rich. Little data at the department level complements the overall electronic medical record (EMR), Big Data Analytics solution, making it a richer and more insightful tool for clinical and executive teams alike.For example, one of our customers is coupling radiology data (software data) with X-ray information and asset management data (machine data) to get insight that solves real-world problems, like workflow optimization, cost savings opportunities, clinical awareness and a better patient experience.
- Build a multidisciplinary team. Analytics takes multiple skill sets, including clinical expertise, business insight, data science, technological innovation and an understanding of patient populations. Make sure you have this full breadth of expertise in place or available to deploy – whether as part of your team or with the help of a partner.
- Collaboration is key. With a diverse set of skills comes a clear need for productive collaboration. GE’s FastWorks methodology, for example, involves a collaborative and agile approach designed to quickly understand customer needs and deliver better outcomes faster.In the context of analytics, you need the whole team in agreement on fundamental questions:
- What problems are you trying to solve?
- Based on those problems, what are your business priorities? Are they financial, operational or clinical?
- What will bring the most value to your organization?
- Make it meaningful. Getting data faster is great, but it has to be meaningful data that drives action to improve outcomes. Besides being connected directly to the questions above, your data should also be represented in a way that’s easy to understand and brings insight to the problems at hand. What type of workflow is needed, and what workflow adjustments will enable the actions to sustain those results – financial, operational and clinical?
- Sustain the change. Once you make changes driven by analytics insight, it’s critical to monitor those changes and ensure they’re sustainable month over month, year over year.
- Seek a service, rather than a single solution. Perhaps the biggest barrier to rapid analytics success is to aim for one big magic pill of an implementation. Something more agile is essential, which is why leveraging analytics as a service makes more sense.Instead of waiting for the big platform, using a service gets you started right away and continuously improves your analytics over time.
At GE Healthcare, we’ve used an understanding of these drivers to reduce implementation time from what used to take years down to as little as nine weeks. I hope you can apply some of the same insights while revving up your own analytics initiatives.