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What trends do we see in delayed and deferred care since the pandemic?
Hear Insights shared by HDMS and esteemed partner Integrated Benefits Institute (IBI).
Originally presented as part of an AHIP webinar series.
Take a deeper look into mental health and also investigate how social determinants of health relate to care needs and costs.
Originally presented as part of an AHIP webinar series.
View the slides
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.
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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.
Measuring these differences allows us to take what we anecdotally see or suspect, and support it with facts.
Collegaues focused on Diversity, Equity, and Inclusion (DEI) agendas are wonderful partners. Share these insights with them. The numbers give your organization a brilliant set of facts to help drive decisions aligned to company goals.
We’ll help you surface these insights at your organization. Contact us to hear more about the possibilities.
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.
We have so many new reasons to use these advanced approaches to offset rising costs of care and challenging health conditions: deferred care, the increased need for mental health care, and virtual care adoption are disrupting historical patterns.
Learn how predictive analytics should fit into an overall analytic strategy. Invest in capabilities that allow you to act upon results, instead of sitting in reports in your inbox. Predictive analytics, when put to purpose, can be an instrumental part of a broader strategy to drive down costs and improve health.
Make sure you have the big picture so you get the most from these investments.
Originally presented as part of an AHIP webinar series.
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.
Keith Wilton is the Vice President of Product Management, with more than 15 years’ experience in Product Management and an emphasis on creating and deploying complex software applications. Keith joined HDMS in March 2016 after serving as Vice President of Product Management at a leading player in the Alternative Investment space. Prior, Keith ran product management for an arm of Morgan Stanley, and for other organizations.
Maybe they act upon facts and share these openly with you?
Even when it’s not great news?
While everyone works to meet Transparency in Coverage regulations, we see the chance for you to leap ahead. Anticipate where the market is going and offer more than traditional plan sponsor reporting – bring your plan sponsors business transparency, strategic plan performance transparency. You’ll earn their trust; you’ll be rewarded with retention.
With major industry changes, new care options, and changes in care needs, people have lots of new questions. Be the health plan that easily gives plan sponsors answers, even to hard questions.
Employers benefit because health benefit satsifaction is a contributing factor to employee retention. With the right analytics, it can be easy to find opportunities to improve, maybe by introducing additional plan options. Yes, that’s right. Design analytics that introduce the potential value of your buy-ups. With better plan performance everyone wins as health care costs lower overall.
In an industry built upon trust,
Embrace it, lead with trust
Increase plan sponsor trust with an analytic strategy that delivers better plan transparency, too.
You’ll deepen relationships, earn loyalty, and retain your customers.
What could controlled plan sponsor plan performance transparency look like?
Self-service analytic front-ends are what people want, to explore data. But the secret is the data itself. If you want to focus on using data for plan performance improvements, your analytic views will naturally be very specific to your business.
Take a peek at HDMS Enlight™. Imagine plan sponsors with access to data and analytics you choose or design. See teams working side by side with accounts, helping them to optimize and get the most out of your thoughtfully designed plans and networks.
(yet verify – it’s ok, we would too.)
How are organizations approaching SDoH in their analytics? What are they doing given the insights and measurements they find?
Here are some specific examples of HDMS client projects.
See how organizations use insights for action and innovation.
Learn more
Things like care gaps by Socioeconomic index.
HDMS clients – have your team walk you through available possibilities. There’s so many new options. Where will you take this next?
We’ll help tailor new analytic views to any specific needs you have.
See how easy it is to look at how social determinants influence your population.
Learn more
Use Analytics to dig into specific parts of your population and better understand unique health concerns, emerging needs, and guide decisions for a more thoughtful benefits strategy.
HDMS clients have access to Transgender Health dashboards.
Look at some of the insights that clients may find.
Get the Spotlight
HDMS clients – have your team walk you through your dashboards. Where can you take this next? We’ll help tailor and expand this for you!
Published in Fierce Healthcare
Authored by Dr. Rani Aravamudhan, HDMS
Health plans typically design benefit offerings by assessing patterns of utilization and cost data in previous years. Thanks to disruptor-in-chief, COVID-19, this traditional approach was rendered inadequate to say the least.
With the pandemic demanding agility, many health plans turned to flexible data analytics and infrastructures capable of generating original, actionable intelligence at a moment’s notice. Having the ability to respond rapidly to their clients’ immediate data needs, despite ongoing uncertainties, is much like having a fire truck ready to put out fires whenever and wherever they arise.
Health plans needed to quickly pivot business processes to align with evolving customer needs. For healthcare benefits administrator Meritain Health, the large-scale shift in the consumption of care that followed the onset of the pandemic required swift adjustments to accommodate changes in multiple areas: fluctuating sites of service and code sets and payment structures, to name a few. Hence Meritain implemented several strategic variations to their business processes.