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.
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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.
HDMS provides predicitive models, pre-defined segments, model scores, historical predictions and more.
Bring member-level scores and cohorts into a cross-prediction analytic view.
There’s power and sophistication wrapped up in an intuitive user experience – so you can do more than look back on historical trends.
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HDMS clients – have your team walk you through the latest models.
What do you do next? We’ll make sure your data supports your next steps and actions.
Watch the 20 minute tutorial (to the right). It is great for HR executives and Health Plan product managers who want to have more informed discussions about how and where predictive analytics can complement efforts at their organization.
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