Strategy to Create a Regional Employee Benefits Benchmark
The Central Penn Business Group on Health (CPBGH) and Innovu have partnered to equip members with robust analytics tools through Innovu’s suite of solutions: EmployerLens®, AdvisorLens®, and CommunityLens®.
These tools will allow you to benchmark cost drivers, health issues, and regional health priorities so you can make more informed decisions for your employees, your clients, and the region.
Dive Deeper Into Your Data
Through CPBGH, individual employers have the option to purchase EmployerLens, which allows you to dive deeply into your overall human capital data, including medical, pharmacy, wellness, disability, workers’ compensation, retirement, and other risk data.
CPBGH advisors will have the option to purchase AdvisorLens, which allows advisors to automate the task of manipulating client data. Advisors will have more time to analyze the data for actionable insights that show clients where they need to focus their efforts.
With EmployerLens or AdvisorLens, you will also have access to CommunityLens.
CommunityLens aggregates health and other benefit program data from participating companies into a trusted digital security vault. Once individual employer data is secured, a de-identified copy of the data will be aggregated with other CPBGH members’ data to create a robust set of regional benchmarks and dashboards.
For more information about the above solutions, please contact either Diane N. Hess, Executive Director of the Central Penn Business Group on Health (email: email@example.com or phone: (717) 239-6954) or Patrick Stewart, CEO & Principal at Innovu (email: firstname.lastname@example.org or phone: (412) 212-7520 ext. 700).
Become part of the collective voice for Central Pennsylvania
CPBGH Employer Members can find more information click here.
Interested in CPBGH Data Analytics, but not a member? Click below to complete an interest form and mention your interest in the Data Analytics. We will contact you within a week to discuss membership details.
Data Analytics Interest Form