BioDash: A semantic web dashboard for drug development
Eric K. Neumann, Dennis Quan
PSB 2006
This paper introduces ProInsight, a novel analytics tool that provides both prospective and retrospective insights for digital health solutions. ProInsight combines advanced artificial intelligence and machine learning technologies to predict the impact of digital health solutions, evaluate their effectiveness, and elucidate key factors influencing outcomes at both individual and population levels. Through its functionalities – Risk Prediction, Impact Evaluation, and Explainability – ProInsight offers a comprehensive approach to analyzing data from digital health solutions. It can estimate the risk of increased healthcare service utilization or predict improvements in well-being for individuals and populations resulting from a new health intervention. ProInsight addresses significant challenges, such as dealing with multi-modal and longitudinal data, ensuring the interpretability of results, and operating in scenarios with small sample sizes. Integrating ProInsight into decision-making processes empowers healthcare organizations to make well-informed choices regarding the deployment, modification, or adoption of digital health initiatives.
Eric K. Neumann, Dennis Quan
PSB 2006
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IISE Transactions on Healthcare Systems Engineering
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Toxics
John M. Prager, Jennifer J. Liang, et al.
AMIA Joint Summits on Translational Science 2017