Advanced Analytics

We help organizations build compelling, enterprise-wide analytics visions and strategies aligned with their own business aspirations. We can help create road maps for advanced-analytics use cases, make the case for change, and understand the value at stake. Our ongoing expertise and support help analytics teams improve their organizations, processes, and capabilities so they can stay on the cutting edge and develop critical insights from their own data.

We take a comprehensive, holistic approach to assessing the capabilities across the organization to make sure all the capabilities are in place to enable analytics success.

Our team of engineers and healthcare experts design and develop analytics applications and assets for healthcare-specific use cases, including procedure-specific competitive benchmarks, doctor performance, configuration of insurance claims, and visualization of the health of large patient populations.

Integrating analytics into digital applications is creating a need for payers and providers to transform their technology, architecture, and IT operating model to achieve and sustain the required impact. We have facilitated multiple transformations to create reusable, and scalable platforms that can be leveraged in an agile model to enable analytics impact through digital.

We supported a large regional payer in identifying and executing the most powerful analytics opportunities to differentiate itself in the market and advance its mission to help deliver affordable, high-quality care for members. We performed an analytics diagnostic, set up an Analytics Center of Excellence, piloted multiple use cases with significant impact potential, and developed a three-year analytics road map that prioritized more than 20 use cases aligned with business-unit strategic priorities.

When a US state-run health insurance organization aimed to deliver more affordable, high quality care, we worked with it to design and implement one of the largest Accountable Care Organization programs in the United States, tying payments to quality metrics and cost of care. Central to this effort was the development of an algorithm to assess provider performance and calculate payments. We also built an interactive dashboard to reduce unnecessary performance reports, further cutting costs.

A provider wanted to achieve financial sustainability while maintaining quality, but lacked an analytics framework to understand the potential impact of various courses of action. Our data platform processed large volumes of the system’s data, and we carried out extensive mapping to coalesce data and harmonize activity with capacity. The result allowed the healthcare system to visualize activity data at a granular level for the first time, create a “do nothing” forecast, and model a combination of specialty-specific reconfiguration options.