Integrating genomic-based clinical decision support into electronic health records

Abstract

There is a growing consensus that the first and most necessary step to improving the efficiency, cost–effectiveness and quality of healthcare systems can be achieved through the implementation of interoperable patient-centric electronic health record (EHR) systems across hospitals and clinics. Targeted therapeutics (including screening, prevention and disease management) through EHR-based clinical decision support delivery may drive both the acceptance and adoption of EHR systems by providing personalized information at the point-of-care. The realization of targeted therapeutics will depend on the resolution of current political, ethical, socioeconomical and technical challenges surrounding EHR implementation efforts. There is a growing need for broad-based consensus initiatives to foster an essential level of standardization for EHRs. The timeliness of these issues is underlined by the rapid emergence of private sector efforts in this potentially lucrative field, from direct-to-consumer testing to Google-, or Microsoft-owned personal health data. This review discusses the potential value for adopting healthcare technology, with a focus on personalized medicine, and highlights the challenges that remain to achieve this.