The importance of making data useable in healthcare with Jonah Leshin
Data science is an interdisciplinary field that extracts knowledge and insights from many structural and unstructured data, using scientific methods, data mining techniques, machine-learning algorithms, and big data. The healthcare industry generates large datasets of useful information on patient demography, treatment plans, results of medical examinations, insurance, etc. Data science provides aid to process, manage, analyze, and assimilate the large quantities of fragmented, structured, and unstructured data created by healthcare systems. This data requires effective management and analysis to acquire factual results. In this episode, guest Jonah Leshin sits down with TDS to discuss the importance of making data useable in healthcare. Jonah joined Datavant from Highland Math, where he was co-founder and Chief Data Scientist, leading data analytics and data monetization. Jonah holds a Masters in Math from the University of Cambridge, where he studied as a UK Fulbright Scholar, and a Ph.D. in Math from Brown University. Outside of work, Jonah enjoys playing tennis and taking family walks.
Connect with Jonah on LinkedIn
The Data Standard is a community of data scientists, architects, engineers, and enthusiasts. In addition to regular podcasts, we host monthly events, publish through leadership pieces, and offer a stimulating ecosystem for networking and collaboration.
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