Three Hurdles to Benefits Data Insights (and How to Overcome Them) - - PowerPoint PPT Presentation

Three Hurdles to Benefits Data Insights (and How to Overcome Them)

Scott Guichard | Solutions Engineer

Introduction

2

• 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)

The value of data

Why data?

4

ü Data for better benefits decisions ü Data to track program ROI ü Data for cost containment ü Data for improved member care

Y

• ur insights

5

• 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.

Data matters

6

Medical RX Eligibility HRIS Wellness Vision Dental Retirement Disability Second Opinion Transparency Biometrics Telehealth HRA

?

We feel your pain.

7

Identify Problem Explore Further Track Solution Identify Solution Share Findings

Make the time you have count.

8

Identify Problem Explore Further Track Solution Identify Solution Share Findings

The hurdles to adding a benefits data solution.

9

Time & Resources

Here’s what you’re saying.

11

“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.”

What if data saved you time?

12

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?

Prioritize a data solution that offers:

13

Case Study: Collaborating with Clinicians for Better Chronic Condition Management

14

• 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

Data Quality & Security

16

Decisions, decisions.

17

• 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

Next-generation data management

18

Security

19

Look for:

• Data architecture strategy
• End-to-end encryption
• HIPAA compliance
• Independent security audits

Tip: Get your IT Security team involved in discussions early.

The Cost of a Data Platform

Here’s what you’re saying.

21

”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.”

There are two ways to “jump” this hurdle:

22

1.Showcase the cost savings you can find in your benefits data. 2.Highlight the need to make future benefits decisions with data.

Potential savings with benefit analytics

23

Don’t go through this process just to watch a program fail.

24

25

Schedule a demo: www.artemishealth.com/request-demo

Q&A

Thank you.