The journey to value-based care is filled with challenges, especially as it relates to measuring quality metrics. This challenge can be difficult to overcome without the right tools and skillsets but analytics can be an invaluable asset to help track and benchmark progress towards value. In fact, this is already becoming a widely-adopted tool, with the healthcare analytics market expecting to reach $42.8 billion by 2024. In this week’s blog post, we’ll outline the necessary steps healthcare organizations can take to ensure return on investment (ROI) with analytics. With nearly every healthcare organization somewhere along the value journey, it’s important to keep in mind that each step should be catered to help meet specific business objectives. Here are three guidelines to start:
1. Lead with Business Use Case, Not Technology
A successful analytics project begins by identifying key stakeholders and understanding their needs for reporting and analysis. Think of the following question when getting started: what business problems are we trying to solve and how can enterprise analytics create value? Analytics programs need to be built with problems at the center.
2. Achieve Quick Wins
Starting small is key. Sifting through and analyzing data can be a large and daunting task, so it’s important to remain focused at the start of your project and then expand. Focus on one or two small use cases such as medication adherence or hospital readmissions. Once those initiatives are deployed, set realistic metrics and timeframes to properly measure progress. If progress is being made, make sure to continue driving the initiative and look for additional growth opportunities.
3. Create a Data-Drive Culture
Healthcare organizations typically work in siloes, especially as it relates to analytics. Each department has various levels of competency and integration of analytics tools. Establishing a dedicated analytics department that is separate from others instills its importance and creates a data-driven culture. Through centralizing analytics, the healthcare organization can spread expertise across the organization, standardize analytical platforms and create governance for consistent calculations and metrics.
To learn more on how to make the most of your analytics investment, check out our latest whitepaper here. If you are interested in ways we can help you on your analytics journey, learn more about our enterprise analytics options.
Get our take on industry trends
Using data analytics to combat the maternal health crisis
With most pregnancy-related deaths being considered preventable, why is the United States facing a maternal health crisis? The country’s maternal mortality rate is the highest of any developed nation in the world and more than double the rate of peer countries.
Read on...Q&A with Dr. Lyle Berkowitz: Diving into the future of AI, analytics and precision medicine
Estimated reading time: 4 minutes After an excellent keynote session led by Dr. Lyle Berkowitz at our 2022 Impact Summit…
Read on...The missing piece to your Population Health strategy: A prescription for maximizing pharmacy data
The healthcare industry is swimming in data; sometimes organizations can even feel like they are drowning in available information. To…
Read on...Data, analytics and AI-enabled healthcare: Four key takeaways from the IS22 keynote
The 2022 Impact Summit (IS22) was outstanding for a plethora of reasons—and Dr. Lyle Berkowitz is foremost among them. For this year’s keynote, Lyle…
Read on...