Three Hurdles to Benefits Data Insights (and How to Overcome Them) Scott Guichard | Solutions Engineer
Introduction Director of Solution Engineering • 25 years in the healthcare industry with about 15 years • experience directly supporting employers on data platforms like Artemis Currently based in Atlanta • Also has lived and worked internationally, including: • Brazil • Argentina • Puerto Rico • Qatar • South Korea • Fascinated by supercentenarians (people who live to be • 110 and older) 2
The value of data
Why data? ü Data for better benefits decisions ü Data to track program ROI ü Data for cost containment ü Data for improved member care 4
Y our insights • 94% are confident they’ll still offer healthcare in five years. • 82% want to enhance employees’ total well- being. • 80% are focusing on high- cost conditions. • 56% are using tech for employee health. 5
Data matters Medical RX Eligibility HRIS Wellness Vision Dental ? Retirement Disability Second Opinion Transparency Biometrics Telehealth HRA 6
We feel your pain. Identify Problem Track Explore Solution Further Identify Share Solution Findings 7
Make the time you have count. Identify Problem Track Explore Solution Further Identify Share Solution Findings 8
The hurdles to adding a benefits data solution. 9
Time & Resources
Here’s what you’re saying. “We just don’t have the staff or time to devote to learning a whole new system. We would have to go through a long learning curve to use a data solution.” “The biggest barrier to doing data analysis is the time it takes to conduct the analysis itself.” “Our consultant handles benefits data analysis, and we wouldn’t have time to do any more in-house.” 11
What if data saved you time? How long would it take you to find out: How many high cost claimants are on • your plan? What are the top five conditions • affecting your high cost claimants? 12
Prioritize a data solution that offers: 13
Case Study: Collaborating with Clinicians for Better Chronic Condition Management Used cohort functionality to track members • with multiple chronic conditions Shared data with primary care physicians at • company onsite clinics Rolled out targeted communications to these • members Clinicians coordinating preventive care and • condition management measures Ongoing monitoring and data analysis to • determine outcomes 14
Data Quality & Security
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Decisions, decisions. • Whether to add, keep, or remove a wellness program • Expanding or narrowing your network • Where your onsite clinics will have the biggest impact • Forecasting next year’s healthcare spend • Planning formulary changes • Allocating future benefits dollars • Direct contracting with health systems 17
Next-generation data management 18
Security Look for: Data architecture strategy • End-to-end encryption • HIPAA compliance • Independent security audits • Tip: Get your IT Security team involved in discussions early. 19
The Cost of a Data Platform
Here’s what you’re saying. ”I have other programs I’m investing in, and data analytics is just one in a long list.” “I know data analytics is important, but the cost of a benefits platform is hard to justify.” 21
There are two ways to “jump” this hurdle: 1.Showcase the cost savings you can find in your benefits data. 2.Highlight the need to make future benefits decisions with data. 22
Potential savings with benefit analytics 23
Don’t go through this process just to watch a program fail. 24
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Schedule a demo: www.artemishealth.com/request-demo
Q&A
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