Investigating Electronic Phenotyping’s Role in Clinical Analytics

As healthcare organizations gather more clinical data, extracting value from that information has become a top priority. However, to make this data actionable for research and development, health systems must collect, process and mine it to identify trends and patterns that could advance strategic goals.The data mining process is key to generating insights that drive healthcare analytics projects, but it is only the beginning. After datasets are created and mined, stakeholders may also want to pursue electronic phenotyping — a process that can help bolster clinical and translational research efforts by allowing users to query healthcare data.This primer will explore electronic phenotyping, its potential and pitfalls in healthcare and potential use cases.Penn Medicine indicates that “electronic phenotyping involves querying electronic health record systems (EHRs) and other clinical information systems and databases to identify patients who meet a specific set of clinical characteristics.”