VitreosHealth Unveils New Predictive Models for ‘Hidden, Hard to Find’ Risk Factors for Population Health Management

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The new models are some of the first to be applied in population health for better outcomes

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“By developing these new models, we are able to determine which gaps to close with the greatest overall impact, in terms of cost and population health.” - Kirit Pandit, co-founder and Chief Risk Model Officer for VitreosHealth

VitreosHealth announces the development of new predictive risk models that are among the first to be used for population health. VitreosHealth is the leader in predictive and prescriptive health insights for population health management. These new models represent VitreosHealth’s commitment towards continuous innovation in delivering high impact solutions, which capture the unique attributes of its ‘clients’ populations.

Gaps-in-Care Predictive Model

Historically, all gaps-in-care are considered equally important. VitreosHealth analyzed millions of lives over several years. The intervention analysis reveals that some gaps are more important than others. Addressing the gaps will result in improved outcomes.

The new “Gaps-in-Care” predictive model identifies each high-risk population cohort and the 2-3 gaps-in-care. When those gaps are closed, the results reveal higher quality outcomes while lowering the high-cost interventions in the shortest possible duration. At a time when most Payviders have limited care management resources; they must target the right patients and the right gaps to maximize the return on investment for the care management programs.

Mental Health Predictive Model

Multiple studies performed over the last ten years revealed patients with mental health cost 3-5 times more than patients without mental health. Yet, many mental health conditions are undiagnosed, or diagnosed late. VitreosHealth developed the new ‘Onset of Mental Illness’ predictive model that predicts which patients have a higher likelihood of the onset of a mental illness (Anxiety, Depression, etc.) that could result in significant non-compliance issues in their chronic care management programs.

After analyzing the multitude of variables, the model identifies 15 key variables with weightages to predict high-risk mental illness members. The insights allow VitreosHealth’s clients to develop care management programs that incorporate necessary screening and assistance by a licensed behavioral health counselor.

Patient Motivation Index Model

VitreosHealth developed the ‘Patient Motivation Index’ predictive model, which anticipates patients with a higher propensity to actively participate in closing the “Gaps-in-Care.” After initially considering hundreds of clinical and non-clinical variables, the model uses 10-15 risk factors to identify the patients with the greatest likelihood for positive engagement.

Future

VitreosHealth also announces that predictive Palliative care models will be commercially available by December 2016. Palliative and Hospice Care emerged as the most expensive categories for Medicare & Medicaid ACOs among VitreosHealth's clients. Therefore, the ability to predict patients in need of palliative care in the future will enable Payviders to plan appropriate care that can improve outcomes and reduce costs.

“While traditional population health efforts focus on closing the most gaps, the reality is that the impact can be very limited overall. All gaps are not equal,” says Kirit Pandit, co-founder and Chief Risk Model Officer for VitreosHealth. “By developing these new models, we are able to determine which gaps to close with the greatest overall impact, in terms of cost and population health.”

All of these new predictive risk models will be incorporated into VitreosHealth’s underlying predictive & prescriptive analytics engine available to all clients and their populations.

About VitreosHealth:

VitreosHealth offers the first Insights-as-a-Service delivery model for advanced population health analytics. They leverage Big Data and predictive and prescriptive health insights for population risk models that provide a complete view into the healthcare continuum. Their adaptive insights achieve a patient-centric focus for each perspective within a healthcare organization that leads to quality health outcomes and improves financial performance for measurable return on investment.

VitreosHealth’s solution, using the broadest sources of Big Data available, supplies easily accessible Insights for predictive risk and prescriptive care management with a focus on both critical and hidden risk populations to close gaps in care and achieve significant financial improvement.

VitreosHealth’s goal is to help transform health care economics with advanced population insights by partnering with their clients for success in this changing marketplace. VitreosHealth was recently awarded Frost & Sullivan’s 2016 North America Award for New Product Innovation for Advanced Population Health Analytics Solutions. Learn more at http://www.VitreosHealth.com.

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Tara Vreeland
@VitreosHealth
since: 01/2014
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