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Healthcare Innovations International

Data Analytic Predictive Model for Unnecessary Surgery Reduction

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We help lower the cost of healthcare by using data analytic techniques. AnaVis™ - our predictive model analyzes claims data to identify those who may need major surgeries in the future and their risks (20%, 50%, 90% etc). Importantly, because AnaVis™ is able to find patients in the early stages of their disease progressions, identified patients are typically not yet so sick that they must immediately have expensive surgeries; by providing economic and alternate treatments at the early stages, eventual “big dollar” surgeries may be entirely avoided and the patients may enjoy better qualities of life. Thus, AnaVis™ creates opportunities for patients’ care management teams to employ early interventions, avoid unnecessary surgeries, and save lots of monies. Studies indicate that about a third of ALL surgeries are avoidable without compromising quality and AnaVis™ helps our clients accomplish exactly that! Given our current national spend on surgeries, more than $250 billion can be saved.