Division FACULTY LIST David M. Seo, MD Division Chief Associate Vice President IT for Clinical Applications Chief Medical Information Officer Chief Research Information Officer
Above: Drs. Ana Palacio and Leonardo Tamariz have substantial experience in the analysis of “big data” repositories to determine the effects of clinical interventions on health outcomes. They are pictured here at their Research Methods course for House Staff, where students learn how to complete an original research study under the guidance of a mentor. Additionally, Drs. Palacio and Tamariz will develop programs to train the next generation of physicians on population health and computational medicine.
Associate Professor Erin Kobetz, PhD, MPH Department of Medicine Associate Director, Disparities and Community Outreach Sylvester Comprehensive Cancer Center Senior Associate Dean for Health Disparity
Associate Professors of Clinical Medicine Ana Palacio, MD, MPH Department of Medicine Co-Director, Resident Scholarly Activity Program (RSAP) Leonardo Tamariz, MD, MPH Department of Medicine Director, Resident Scholarly Activity Program (RSAP) Chief of the Miami VA Institutional Review Board
Left: The University of Miami IT Clinical Applications group has developed a robust data environment consisting of clinical systems, Enterprise Clinical Data Warehouse and the Hadoop Population Analytics Platform. The data environment includes tools for obtaining information from food diaries, activity and blood pressure monitors. It also provides alerts and analytics of electronic medical records via email or messaging systems. The Division has partnered with the UM IT Clinical Applications group to help integrate business processes and scholarly activity, as well as harness these tools to improve patient health.
complicate matters, current health data does not provide an effective patient-centered feedback loop that engages the patient in their own health. Internet-connected devices like scales, blood pressure and blood glucose monitors, have the ability to autonomously send health data to the electronic health record, if the patient authorizes it. By having access to this data, patients often feel more control and ownership over their health care and are more likely to embrace the development of better educational materials and health tools. To meet this critical goal, the Division is coordinating programs that utilize Internetconnected devices such as activity trackers and blood pressure cuffs that send health data directly to Electronic Health Records. The Division is also exploring how the data collected can be utilized to develop novel interventions.
PREDICTIVE MEDICINE For high-quality health care to be cost effective, disease management will need to be accompanied by disease D epar t men t o f Medi c in e C h air man ’s R e po r t 2015
prediction. According to data from the Agency for Healthcare Research and Quality, two-thirds of patients who suffer a major acute illness on an annual basis were healthy in the prior 12 months. This means that in order to seriously impact health, disease management must be accompanied by disease prediction and intervention. The University of Miami IT Clinical Applications group is in the midst of developing a robust and comprehensive Enterprise Clinical Data Warehouse and Hadoop Population Analytics Platform. The Enterprise Clinical Data Warehouse contains clinical, scheduling, financial and very soon, data regarding Social Determinants of Health. The Division is assisting the Clinical Applications group in defining and validating what data needs to be stored in the warehouse. Partnerships have also been created with the Clinical Applications group to harness the Hadoop Population Analytics Platform and develop algorithms for disease prediction in patient populations. 27