Next-Generation Sequencing (NGS) is a technology that allows the rapid sequencing of entire genomes, targeted regions, or specific sets of genes. It represents a significant advancement that enables the parallel sequencing of millions of DNA fragments simultaneously. NGS can be used for a variety of applications, including whole-genome sequencing (WGS), whole-exome sequencing (WES), targeted gene… Continue reading The Evolving Integration of NGS Data into EMRs: Transforming Clinical Research and Precision Medicine
Tag: EMR
RWD for EMA Regulatory Submissions: Differences in Use for Pre- vs. Post-Approval
Real‐world evidence (RWE) has an increasing role in both pre-, and post- approval applications to support the authorization of new medicines and indications, or to address post-marketing safety concerns. Therefore, the use of Real-World Data (RWD) in regulatory processes at the European Medicines Agency (EMA) varies depending on whether it is being used for… Continue reading RWD for EMA Regulatory Submissions: Differences in Use for Pre- vs. Post-Approval
Secondary and Primary Data Integration in Clinical Research
Secondary data are data that have been originally collected for purposes other than a specific research question. This includes data from sources like electronic medical records (EMRs), medical claims data, product or disease registries, and other digital health technologies. Secondary data are often used in pharmacoepidemiological research to evaluate the safety and effectiveness of medicines… Continue reading Secondary and Primary Data Integration in Clinical Research
EMR to EDC Integration: Applications, Challenges and Operational Considerations
EMR to EDC Integration refers to the process of transferring data from Electronic Medical Records (EMR), which are used in healthcare settings to maintain patient health records, to Electronic Data Capture (EDC) systems, which are specialized databases used in clinical trials to collect and manage study data. This integration aims to automate data transfer, enhancing… Continue reading EMR to EDC Integration: Applications, Challenges and Operational Considerations
Converting Unstructured Data into Structured Data from EMR: Challenges and Solutions
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.