TY - JOUR T1 - The Next Generation Precision Medical Record: A Framework for Integrating Genomes and Wearable Sensors with Medical Records JF - bioRxiv DO - 10.1101/039651 SP - 039651 AU - Daryl Waggott AU - Euan Ashley AU - Anja Bog AU - Anil Ankisettipalli AU - Surbhi Sheth-Shah AU - Enakshi Singh AU - Megan Grove AU - Prag Batra AU - Mark H Wright AU - Matthew Wheeler AU - Jason Merker AU - Werner Eberhardt AU - Carlos D Bustamante Y1 - 2016/01/01 UR - http://biorxiv.org/content/early/2016/02/14/039651.abstract N2 - Current medical records are rigid with regards to emerging big biomedical data. Several examples that already exist in clinical practice include whole genome sequencing and wearable sensors for real time monitoring. Genome sequencing not only enables conventional diagnostic interrogation, but forms the fundamental baseline for precision health throughout out a patient’s lifetime. Mobile sensors enable tailored monitoring regimes for both reducing risk through precision health interventions and acute condition surveillance. To address the absence of these data in the EMR we worked with SAP Healthcare to reenvision a modern medical record with these components. The pilot project used 37 patient families with complex medical records, whole genome sequencing and some level wearable monitoring. Core functionality include patient timelines with integrated text analytics, personalized genomic curation and wearable alerts. The current phase is being rolled out to over 1500 patients in clinics across the hospital system. While fundamentally research, we believe this proof of principle platform is the first of its kind and represents the future of data driven clinical medicine. ER -