Biography
Biography: Michael N Liebman
Abstract
A growing gap exists between the generation of (big) data and conversion into information, knowledge and eventually clinical utility. Both the available data and the size of this gap are growing exponentially with the access to enhanced technologies, genome sequencing and electronic patient records. Although the emphasis has been on data generation, the missing link to close this gap remains understanding the true issues of unmet clinical need. It is essential to understand, represent and model the complexities of the entire healthcare ecosystem, including patient, physician, payer and pharma, to understand the difference between good research and the generation of clinical and commercial value. We have developed a comprehensive model of the full disease process and apply it across disease areas to understand where gaps exist, how to prioritize research and identification and evaluation of risks and opportunities. Application in breast cancer and ARDS will be presented.