| | June 20198UTLOOK Healthcare Tech HEALTHCARE TECHNOLOGY KNOWLEDGE NETWORKIN MY OPINIONTransforming Health Care for the ConsumerBy Laurent Rotival, SVP of Strategic Technology Solutions & CIO, Cambia Health SolutionsAs the saying goes everyone is a patient, thus everyone is invested in health care. However, as individuals we are all more than just our medical histories, our diagnoses and treatments. Health care needs to look at people in a more personalized and holistic way to truly influence outcomes. When we do the math, over 80% of health care spending goes into the acute care system, which only impacts 15-20% of an individual's health outcomes. By the time a person has embarked on the `patient's journey' they usually have missed their chance to address the other variables which affect a greater percentage of their health, including: behavior, lifestyle, economics and genetics. The integration of technology to bridge the gaps and provide navigation through an infamously fragmented health care system offers the potential to accelerate the shift to person-centricity.My goal as Cambia Health Solutions' CIO is to bring a platform of integrated solutions to consumers that will make their experience and perception of their health journey more seamless and personalized. The industry needs to look at the total equation to truly impact a person's health and well-being instead of jumping in at the end where at age 65 you could still be facing 60 percent of your lifetime health care costs.Historically, IT systems in health care resemble a data swamp. What we have is a wealth of Big Data but no clear way of separating the signal from the noise. Admittedly, some of the barriers are deliberate or regulatory requirements in order to protect the privacy of patients and maintain data security. But this approach makes it difficult for health professionals to actually use these data to deliver insights and make personalized health and clinical recommendations to help prevent more serious conditions. The health care industry often has fragmented views of their data it's hard to aggregate and even more difficult to consume in an actionable way. One way we are changing that is employing predictive models that use historical data to help forecast emerging illnesses and deploy resources. Our data scientists created over 30 models, running daily with over 1,500 data elements against our regional health plans' two million members to help us predict where and when proactive health and clinical interventions should be made. As innovators and leaders, it's up to us to drive transformation in our industry and respond to consumer demand for simplicity and efficiency in health care < Page 7 | Page 9 >