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Abstract

Obesity rates are on the rise in USA and globally with over 641 million individuals with obesity, a major risk factor for many chronic diseases. The American Board of Obesity Medicine has certified 1,590 Diplomats, but there continues to be a lack of obesity specialists available to patients and most turn to their primary care provider for help. Studies show that patients and providers want to have better understanding of different treatment options currently available as well as new innovations. There is a need for solutions that bridge the knowledge gap for both the patients and providers as well as enable patient engagement and drive patient outcomes in obesity care. H20- Health to Outcomes, a patient-provider solution for obesity, is being developed by a team of crosssector professionals that includes obesity specialists, doctors, clinicians, consumer groups, data scientists, information experts and technology specialists. It will enable providers to determine the closest treatment match for similarly situated patients. In addition, it will support real-time patient engagement and monitoring throughout the treatment cycle including feedback loops to reinforce or adjust treatment. By combining medical science, individual status, lifestyle, behavior and other data sources the solution engine will leverage different machine learning and statistical methods to generate best fit patient treatment options. These options are based on identification of patient type, high responders, as well as cost, quality, outcome and utilization data. Two important elements of the Patient-Provider Solution are the provider and patient interfaces. The interfaces will support the patient and provider with real- time information and education to guide the decision making process, track progress and offer support during the patient�s journey.

Biography

Email: christine@leveragegc.com