Sepsis is a potentially life-threatening complication that arises when the body’s response to infection injures its own tissues and organs. Time matters when dealing with this medical emergency. Sepsis requires urgent attention and rapid treatment for survival to occur. Studies show that for every one hour of delay in treating sepsis, the patient’s risk of death increases by 8%. A single 12-hour shift of a patient going untreated due to a lack of recognition increases a patient’s mortality risk by 96%. However, early recognition and treatment have been shown to reduce the morbidity and mortality associated with this dangerous condition. One of the most efficient and effective methods to assist physicians in identifying sepsis is through a data driven approach. By aggregating and trending key data elements collected from a single patient over a period of hours, key clinical team members can act quickly and make informed decisions in the best interest of each patient to identify and treat sepsis. Facing a sepsis mortality rate of 27.1%, Licking Memorial Health System, a 227-bed MEDITECH hospital in Central Ohio, undertook a clinical initiative to increase staff awareness about sepsis and leverage technology to assist in sepsis identification, with the goal of reducing its sepsis mortality rate to below the state average of 19.43%. By building upon existing MEDITECH EHR functionality with new technology, including real-time communication of at risk patients, and increasing organizational collaboration and interdisciplinary efforts, Licking Memorial has improved outcomes and mortality rates at their hospital--stemming the tide and risk of sepsis across their organization. The hospital’s current sepsis mortality rate is down to 8.5%, well below the current state goal of 14.9%. In this session, we describe in depth how the clinical systems interact, monitor, and alert physicians to patients identified as a high-risk for sepsis. Sallie Arnett, MS, RHIA, CHCIO serves as the Vice President of Information Systems and Chief Information Officer at Licking Memorial Health Systems in Newark, Ohio. As a member of the senior leadership team, Sallie oversees the operations of the Information Systems, Health Information and Communications departments for LMHS and is responsible for the strategic direction of the hospital and physician practice electronic medical record systems. Sallie received her Master of Science degree in Health Information Systems and a Certificate of Proficiency in Health Information Management from the University of Pittsburgh in Pittsburgh, Pennsylvania. She received her Bachelor of Arts degree from The Ohio State University in Columbus, Ohio. In terms of technology, Licking Memorial Hospital is proud to be recognized as one of HealthCare’s Most Wired Hospitals for three of the past four years and a HIMSS EMR Adoption Model Stage 6 hospital. Licking Memorial Hospital has been named a 100 Top Hospital twelve times by Truven Health, recently received an "A" rating for patient safety from the Leapfrog Group, and has been named as one of 100 Great Community Hospitals by Becker’s Hospital Review. Sallie is credentialed as a Registered Health Information Administrator (RHIA) by the American Health Information Management Association (AHIMA) and as a Certified Healthcare Chief Information Officer (CHCIO) by the College of Health Information Management Executives (CHIME). She is an active member of the American Health Information Management Association (AHIMA), the College of Health Information Management Executives (CHIME), and the Health Information Management Systems Society (HIMSS).