Tableau's 5 Best Practices to Enable Population Health

July 2, 2019
August 24, 2020

With the healthcare industry shifting from the fee-for-service model toward pay-for-performance value-based care, it is critical to begin understanding patients, the care they receive from your organization, and the social determinants they face at a deeper level than ever.

But how exactly do providers work to deliver more preventative and cost-effective care? How do you collaborate to assess risk and analyze spending? How do you stay connected with discharged patients and prevent future hospitalizations? How do you monitor and treat chronic diseases? You already know that data insight is the key, but you need a roadmap.

Below are Tableau’s Five Best Practices to Enable Population Health:


1. Enable self-service analytics. Empowering clinicians and business analysts to explore their own data yields faster and more insightful decisions, allows IT resources to focus on their central task of maintaining a secure and reliable data infrastructure, and offers a single source of truth for the entire healthcare organization. The best analytics implementations are user-created dashboards running on top of IT-managed infrastructure.

2. Aggregate and segment your population data. The Center for Disease Control (CDC) recommends analyzing population health with 42 specific metrics to get an accurate picture of the population, which offers the perfect framework for segmenting your data to find ways to deliver better care at the lowest cost.

3. Coordinate care across the continuum with visualizations. With machine learning, advanced predictive analytics software like Tableau can visualize complex models to predict risk at an aggregate population level as well as an individual patient level.

4. Understand your risks. Understanding the risk profile of your population allows you to identify the most vulnerable patients, so you can direct resources appropriately to deliver the highest level of care at the lowest cost. Mount Sinai Medical Center manages risk by analyzing their patient-to-provider ratios as a basis for the levels of service provided. They also use data to identify primary care practices they may want to adopt and new locations they may want to build, as well as data from their electronic records system to visualize disease registries and track performance.

5. Proactively manage patient relationships. Strong relationships with patients can keep them on track with medications and improve preventative care. A successful approach combines an electronic registry with patient portals. Data-driven triggers can automate various communications to patients to ensure regular engagement.


Onebridge is uniquely positioned as a Tableau partner, serving as an extension to those teams to enable you to achieve better insights from your data. Tableau is an expert in healthcare data and its potential to reduce healthcare costs, enhance care quality and improve the patient experience. Together, we recognize the challenge that every healthcare organization faces: getting from information to insight to action. We know how to connect your data, visualize and analyze it to provide quick answers to your most important questions. 

We understand the challenges you face and the opportunities you have available. Contact us to find out how you can give your care delivery and population health program a major advantage with data.

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