The success of translational medicine is in the data and the ability to combine multiple sources of data to enable better patient care and outcomes. Unfortunately most academic research organizations (ARO) and hospitals have multiple systems that house data creating an inability to mine through the data to identify clinical insights, disease patterns or treatment options.
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In a world where technology is rapidly advancing and user expectations are rising, it’s no longer enough to have an average user experience; to delight your users and surpass your competition you must strive for the exceptional.
Patient records, genomic data and environmental data need to be in sync to speed the process of bringing safer therapies to market and provide “bench to bedside” medicine. Combining multiple sources of data can enable complex and meaningful querying, reporting and analysis for the purposes of improving patient safety and care, boosting operational efficiency, and supporting personalized medicine initiatives. Integrated data will enable implementation and delivery of translational medicine anytime and anywhere.
- How AROs and hospitals can benefit from a systematic approach to combining data from diverse systems and utilizing a suite of data extraction, reporting, and analytical tools, in order to support a wide variety of needs and requests
- Examples of proposed solutions to real-life challenges AROs and hospitals often encounter
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Combining Patient Records, Genomic Data and Environmental Data to Enable Translational Medicine
Wednesday, October 15, 2014 | 1:00 PM CT