Discover the challenges and solutions in converting unstructured data into structured data from Electronic Medical Records (EMRs). Learn how Natural Language Processing (NLP), standardized terminologies, and data integration tools can help overcome these obstacles, ensuring accurate and efficient data extraction for improved healthcare outcomes.
Category: Electronic Medical Records
Chart Review and EMR Extractions in RWE Research
Two primary methods used to gather data for Real World Evidence (RWE) research are chart reviews and Electronic Medical Record (EMR) extractions. Chart Review involves manually extracting data from patient medical records, including both paper-based charts and digital documents. This method provides a rich source of detailed clinical information. EMR Extractions involve the… Continue reading Chart Review and EMR Extractions in RWE Research