Information Technology
and Analytics

Analytics
[ana-lit-iks]; noun — the analysis of data, typically large sets of business data, by using mathematics, statistics, and computer software.

Shared Analytics. Healthy Patients.

Analytics can help us transform care, delivering higher quality at a lower cost.

There is power in reliable data. When we accurately interpret the right data at the right time, we can excel clinical quality and population health. AboutHealth has a goal of measuring our six healthcare systems, both individually and combined, and then leveraging that insight to have broad and deep impact on clinical outcomes for patients.

Before we dig into how that may happen, let’s celebrate the “who” of AboutHealth. Because all members are outstanding health systems with rich histories of delivering high-quality care, the united talents, energy, and resources have the potential to truly transform healthcare. By collectively analyzing our combined clinical and insurance claims data, we can all fulfill our potential.

Benefits of the shared AboutHealth Analytics

Insights obtained from proven industry indicators help inform the actions needed by clinicians and business leaders. Here are some long-term advantages of our shared platform:

  • Contain Costs — a single, combined data source is convenient and also maximizes efficiency by purchasing analytic tools together.
  • Manage Populations — data follows patients through all levels of care, enhancing patients’ navigation through their care plan, data collection on variables that are likely to influence future results, managing high-risk/high-cost patients as a group, patients’ coordinated clinical care, and more.
  • Identify Areas of Focus — access and combine the right data at the right time and near real-time clinical data to identify insights for improvement and streamline processes.
  • Benchmark Quality — compare quality and financial performance data; make data reporting of quality and financial outcomes, internally and externally, more efficient.

Predictive analytics can improve care.

We know that by properly analyzing “big data,” we can radically improve quality and reduce health care costs. Plus, it allows health care delivery to be tailored to each patient’s unique circumstances. That’s why our goal includes pooling resources to implement this powerful technology for maximum impact.

We can also use this information to guide development of our Collaboratives, the regular gatherings that change and improve the quality of health care provided to our members’ patients.

This real-world example proves how smart use of AboutHealth's analytics can change outcomes for our members and their patients.

Diabetes Data from Jan. 2015 to Jan. 2017.

  • Between January 2015 and January 2017, the rate of persons with diabetes in optimal control (including blood sugar, blood pressure, cholesterol, not smoking, and taking aspirin or equivalent) grew from 39.34% to 44.93%.
  • With 103,661 diabetes patients under the care of our six member organizations (as of Jan. 2017), this translates to 5,795 additional people with diabetes in optimal control in January of 2017 compared with 2015.
  • Between 1,854 and 2,840 of these people will not suffer diabetes complications because of their improved control, which will result in monthly cost avoidance from $208,620 to $573,705.
  • Annualized, this equates to between $2,503,440 and $6,884,460.

Analytics from the most reliable sources.

AboutHealth Analytic Platform receives information and analytics from independent, third-party organizations. Our six health care systems are measured against all others throughout Wisconsin.

We use data from these sources to inform and guide decisions for all our members, helping them better serve and address patients' needs and quality of care.

We’re working toward a
healthier population thanks
to analytics.

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Predict future risk
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Disease management
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Patient engagement
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Care coordination
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Manage complex individuals
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Cost and utilization trend