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Webinars

Predictive Analytics: Drive Affordability and Better Health

Predictive models are an amazingly powerful use of data. And 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. How do predictive models work? Where is it best to consider using predictive analytics? What should you be doing with the results?

Watch this webinar to learn about how predictive analytics can 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.

We’ll share:

  • A framework to use to help discern where and how predictive capabilities are highly useful
  • Insights into how you can couple predictive capabilities and leading indicators
  • Approaches other health insurance providers are taking to act upon what their data is telling them

Webinar hosted by AHIP.


Speakers

Rani Aravamudhan, MBBS
Senior Clinical Consultant
Health Data & Management Solutions (HDMS)

Rani Aravamudhan joined HDMS as a Senior Clinical Consultant. She is a physician, specializing in General Medicine with 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.

Prior to joining HDMS, Rani worked for Philips Wellcentive as a Services Leader, where she led teams of program managers, clinical specialists and training staff along with heading their Data Governance committee. Before that, Rani was leading EMR/EHR implementations, workflow and process optimization consulting at McKesson Corporation and was their resident subject matter expert for all CMS quality reporting programs. Rani earned her medical degree at Grant Medical College in Mumbai University, India.


Keith Wilton
Vice President of Product Management
Health Data & Management Solutions (HDMS)

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 Backstop Solutions, a leading player in the Alternative Investment space. Prior to Backstop, Keith ran product management for an arm of Morgan Stanley, and for other organizations. Keith received his B.S. degree from the University of Illinois Urbana-Champaign.

Useful Documents

Prepare for your health analytics implementation before you buy a thing!

Avoid buyer’s remorse.

Did you ever have a home improvement project that finished late and cost more than you expected? How about a technology implementation that finished late and cost more?

You are more likely to be on-time and on-budget if your plan is thoughtful and reflects your reality. Don’t you want to have confidence knowing what you’re really getting into?

So, here are three tips to set you up for implementation success when it comes to health analytics:

  1. One-size does not fit all. It’s unlikely your implementation is the same as other organizations.  Why?  Because the culture of your organization is a huge factor.  Dig in.  What are the details behind YOUR implementation plan?
Tip!



Discuss what will be problematic or painful based on your experience and what you are moving away from. Are those complexities appropriately addressed, cared for, or resourced? Think about metric definitions and consensus, data quality, data reconciliation, matching and integration across sources, and slowly changing history.
  1. Understand what is and is not in your control. If something is beyond your direct control, is there a named resource and escalation path?  What risk does that pose to the project timeline based its nature.  For instance, your health analytics implementation is reliant on data from others.  How are your relationships and service level agreements with those partners and vendors?  How does that affect your plan and what’ the back-up plan?
Tip!

Before your implementation starts, refresh your knowledge of the day-to-day contacts, authorities, and any contractual SLA’s you have in place. If there will be costs associated with establishing new feeds or data interfaces, identify those early.
  1. Top down, bottom up, or an interesting mix? Think about the approach that will work better for your organization.  What process works for you – here’s my data – what can I do with it?  Or here are my objectives – what data do I need?  There are pros and cons to each but thinking about this as you prioritize is invaluable for setting internal expectations and getting the right resources lined up.
Tip!

Use phase 1 for quick wins. Standard sources generally seamlessly populate the most common views. Users feel like they get a lot out of the gate and that helps tremendously with adoption.

Remember, you’re better off with an implementation plan that’s realistic rather than one that sounds like a dream but doesn’t work well for you in the end.

Useful Documents

Enlight

Enlight is a flexible analytic platform that unlocks the power of data. It brings data to life and reveals
connections and insights so you can make being healthy more affordable, convenient, engaging, and equitable.

Read more.

Useful Documents

How to measure your wellness program’s ROI

Published in BenefitsPro
Authored by Rani Aravamudhan, Senior Clinical Consultant, HDMS


While many employers are willing to invest in wellness programs, they aren’t always clear on the goals for these benefits.

Rather than jumping on the wellness bandwagon or adding a program just to expand the suite of benefits, employers would be better served to evaluate and make decisions based on data.

Read how HDMS recommends employers approach this.

Useful Documents

Keep Essential Workers Safe: Data Analytics Strategies to Guide Effective Benefits Design

Published in HR Executive
Authored by Rani Aravamudhan, Senior Clinical Consultant, HDMS


HR executives have followed the time-tested adage of past behavior being the best predictor of future behavior – evaluating utilization patterns over time to make educated projections for the upcoming year. However, given the skewed healthcare consumption caused by COVID-19, these traditional means of assessing year over year trends fall predictably short.

Read the five strategies suggested to guide effective benefit design.

Download PDF reprint

Useful Documents

Diversity, Equity, and Inclusion. Start with understanding where you really are...

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.

Click here for just one example…


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!

Useful Documents

How Data is Driving 2021 Benefits Strategies

Published in Fierce Healthcare
Authored by Rani Aravamudhan, Senior Clinical Consultant, 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.

Read more.

Useful Documents

Integrated Mental Health Strategies: A Right-Sized Approach to 2021

Published in HealthPayerIntelligence
Authored by Rani Aravamudhan, Senior Clinical Consultant, HDMS


Member programs encouraging mental health Data Analytics for Mental Healthand wellness have increased in popularity lately among health plans and sponsors. There is a growing consensus that a happy, healthy workforce can lead to better business results. Consequently, promoting mental health strategies is considered a “win-win” proposition.

The question is, how do we quantify the wins?

Read how.

Videos

Predictive Analytics: Harnessing the Power of Data

Predictive models are an amazingly powerful use of data. They can inform benefit design and help deliver personalized, meaningful user experiences.

In this presentation, attendees will gain insight into predictive analytics and learn how to leverage health data sets, such as clinical, wellbeing, and social determinants of health information to transform their employee’s health journey, identify cost savings opportunities, and assess year-over-year population-based outcomes.

In addition, the speakers will examine the use of these advanced approach analytics to navigate vaccine prioritization, deferred care risks and virtual care adoption. Although trend disruptions of 2020 have forced many to tune and adapt their current models, there are many opportunities to use existing data to create leading indicators employers can use now to set the stage for long-term change and growth with short-term benefits along the way.

Webinars

Navigating Change: Data Drives 2021 Benefits Strategies During Health Care Transformation

Health insurance providers can play an important role in helping plan sponsors navigate complex business decisions and necessary change during uncertainty. Through the pandemic chaos, data has been a beacon of light, giving us facts to shape where and how to best pivot in light of COVID-19. Data uncovers the areas we can be most helpful to our plan sponsors and members. Having a strong framework with the right structures in place that can roll with the new waves of regulations, coverage changes and payments is just as vital.

Listen to how Meritain is harnessing their powerful analytics to build strategic value with (and for) their clients, ensuring plan sponsors’ new requirements and members’ changing behaviors as they plan for 2021. With health care transforming right before our eyes, we need timely and quality data along with a means of turning on a dime more than ever before.

Attendees will learn:

  • How data lets plan sponsors understand and quantify the need for rapid plan design changes
  • The pandemic’s effect on high-risk populations and how health insurance providers can support vulnerable members
  • How 2020 utilization impact 2021 strategies
  • How quality data ensures accurate insights