Join us at HAS 17 – September 12-14, 2017 in Salt Lake City

Andrew James Brookhouse

Lead Systems Analyst, Cleveland Clinic

Andy is the Lead Systems analyst in the Clinical Solutions Center at Cleveland Clinic with responsibility for mentoring and leading staff in the further development of robust clinical solutions. Andy has been at the Cleveland Clinic since 2010. Andy's current focus is on enhancing the core EMR in new and innovative ways to produce tangible outcomes for our end users. Prior to that he worked for an EMR vendor based in Nashville, TN and another EMR vendor based in Madison, WI.

Suzanne Fink MSN, RN, CCRN

Clinical Analyst, Clinical Solutions Center, Cleveland Clinic

Suzanne Fink, MSN, RN, CCRN serves as Clinical Analyst for the Clinical Solutions Center (CSC) at the Cleveland Clinic. Her present focus, and that of the CSC, is the delivery of innovative solutions to pressing clinical issues through an iterative, agile design process that empowers end-users. Developments within the CSC include the launch of eHospital (Cleveland Clinic Health System tele-health initiative), a home-grown mobile application (Iris Mobile) to enable staff access to patient data on-the-go and a multitude of clinical workflow optimizations. Her present focus is the development of dynamic clinical algorithms to guide EMR clinical decision support and drive robust back-end analytics. A member of HIMSS, the American Association of Critical Care Nurses and the Ohio Nurses Association Suzanne enjoys the intense challenge of immersion in an ever changing environment. She also celebrates the privilege of continued work as a pediatric nurse, inspired and motivated by the creativity of the children in her care.

10 - FHIR’d up about Clinical Data Intelligence: Cleveland Clinic’s Real Time Decision Support System (Technical Session)

Andrew James Brookhouse (Lead Systems Analyst, Cleveland Clinic), Suzanne Fink MSN, RN, CCRN (Clinical Analyst, Clinical Solutions Center, Cleveland Clinic)

Session Overview

A huge amount of waste exists across health systems with duplicate efforts reinterpreting patient chart data many times over. A solution to this problem represents significant cost savings by addressing and activating a dynamic process up front in the clinical workflow resulting in an exponential impact within real time patient care, back end processes and closed loop predictive modeling. A lot of worthy focus is placed on EMR interoperability and new web data standards for healthcare but without data veracity all these efforts are moot.

Still the solution is elusive for most health systems due in part to the data challenges of EMR’s that are notoriously onerous to customize—as well as understanding the clinical nuances of stored data.

Yet, with some breakthrough discoveries all health systems will want to learn from, Cleveland Clinic has developed a real-time decision support system with admirable results. With this, the ability to liberate high fidelity data from the proprietary EMR bubble, using new standards like FHIR, becomes viable. To achieve this, Cleveland Clinic has constructed a team of developers and clinicians with overlapping clinical and technical knowledge using agile development methods versus traditional waterfall processes. The blend of skills and process has been key to the team’s success being able to trace data end-to-end. In addition to technical expertise, Cleveland Clinic’s team has demonstrated success by persistently and patiently navigating a bureaucratic structure of policy and legacy enterprise EMR’s common to many large health systems