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.
Tag: Methodology
Innovative study design in clinical research
Clinical trials bridge the gap between preclinical studies and marketed products, with a primary goal of determining safety and efficacy. Over the years, clinical trial protocols have significantly developed in term of design and execution. Innovation in clinical trials design has resulted in the increase of the adoption of innovative design types such as adaptive,… Continue reading Innovative study design in clinical research
Enhancing Registry Data Quality: Key Measures and Strategies
Registries play a central role in real-world evidence (RWE) studies by providing comprehensive, real-world data (RWD) on patient populations, treatments, and outcomes outside of controlled clinical trial settings. This data is invaluable for assessing disease progression, the effectiveness, safety, and utilization of medical interventions in everyday clinical practice, guiding healthcare decisions, and informing regulatory decisions.… Continue reading Enhancing Registry Data Quality: Key Measures and Strategies