Unhealthy populations increase costs now and in the future. Breaking down barriers to underutilization of preventative care services and regular PCP visits is a fundamental tool for cost management.
Digging into social determinants of health reveals new insights into which parts of your population may be underutilizing care more significantly than others. This helps identify and then break down barriers. Prioritize where you focus innovation.
Here are some interesting insights recently shared at an innovation conference and luncheon roundtable.Learn more
And what these mean for Employers
What are some key trends impacting the business of healthcare and what can this mean for you, as a self-funded plan sponsor?
- costs are rising
- the health system itself is evolving
- DEI, SDoH and artificial intelligence invite new opportunities
In two words – EXPENSIVE + CHANGE.
Take control and use the massive amounts of data available. Health analytics will help you strategically navigate market transformation, minimize excess costs, and gain first-mover advantage to secure cost avoidance. All with optimal outcomes.
Offset increases in costs by optimizing plan performance.
Eliminate guesswork. Use health data to get the most out of partners and programs.
Create a data-driven program and repeatable model that lets you pilot new strategies or programs and compare measured results.
For example, pilot and analyze: Which joint replacement care approaches have the shortest associated disability duration, fewest average physical therapy visits, and lowest prescription costs?
Choose a flexible analytics technology that will let you analyze results across different plans, evolve over time, and bring in point solution data.
Work with an established vendor whose core vision is in line with providing health analytics to employers, like yourself.
Health Big Data is complex. It requires highly specialized skill sets and domain expertise.
We’re used to looking at a lot of healthcare metrics – utilization, costs, outcomes. Even just a little more data can tell us a lot more about people in context.
Check out how Plan Sponsors are surfacing measurable differences within their populations, by adding just a little more data into their analytics.See some examples See a webinar
We’ll help you get started on measuring how healthcare needs and patterns change across different subpopulations at your organization.
Amplify analytics with SDoH enrichment. This helps reveal health inequities.Learn more
See how easy it is to look at how social determinants of health influence your population. Find where inequities exist and track progress of program efforts.
With digital transformation improving health experiences, we now have even more Big Data in healthcare to use for deeper insights in population health.
When it comes to health analytics and DEI efforts, what data do you need? How do you get it? How can you get started? What happens next?
We’re so glad you asked – hear from our experts.
Originally presented as part of an AHIP webinar series.
Watch now Download the slides
through the lens of diversity equity, and inclusion.
Rani Aravamudhan is a more than a physician, specializing in General Medicine. She has extensive experience in the EMR/EHR and population-health industries with a focus on clinical transformation, workflow design and development, value-based care, risk management and clinical quality and performance reporting. Her strong background in clinical medicine and experience in the HIT industry make her successful in navigating payer, provider, and technology vendor landscapes.
Jason Elliott is Vice President of Customer Experience for Employer clients at HDMS. A true public health enthusiast with a Masters in Epidemiology, he spent over a decade delivering dedicated clinical analytics and leadership at BCBS. Since then, Jason has managed the managed the Employer practice area. He brings very structured thinking into the types of problems his clients are trying to solve, and what can be done with the insights discovered.