Clinical data is a key resource for medical research in the field of healthcare data analytics. It is gathered in two ways, through ongoing patient care or as part of a formal clinical trial. Clinical analytics uses real-time data to generate insights, inform decision making and reduce costs.

2025年2月7日 · Clinical data is a staple resource for most health and medical research. Clinical data is either collected during the course of ongoing patient care or as part of a formal clinical trial program. Clinical data falls into six major types: Electronic health records; Administrative data; Claims data; Patient / Disease registries; Health surveys

Study record managers: refer to the Data Element Definitions if submitting registration or results information. Search for terms

Because of their potential to enable the development of new knowledge and to guide the development of best practices from the growing sum of individual clinical experiences, clinical data represent the resource most central to healthcare progress (Arrow et …

2025年2月11日 · Clinical data management refers to the processes involved in collecting, cleaning, and analyzing data from clinical trials. It is a systematic approach that ensures data accuracy, consistency, and reliability.

Clinical data management (CDM) is a critical process in clinical research, which leads to generation of high-quality, reliable, and statistically sound data from clinical trials. [1] Clinical data management ensures collection, integration and availability of …

2018年12月22日 · Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or …

2019年5月9日 · We briefly describe several clinical data types that are commonly employed in clinical and translational research, including fully identified clinical data, HIPAA-limited clinical data, deidentified clinical data, and synthetic data.

This section aims to provide a brief overview of major current activities in healthcare data development and collection—including administrative and claims data, quality indicators, health status and outcomes data, clinical research data, industry-sponsored pre- and postmarket studies, regulatory studies, registries, and emerging datasets.

2025年2月11日 · Accurate and timely diagnosis is crucial for effective treatment. Clinical data provides healthcare professionals with access to comprehensive patient information, enabling more accurate diagnoses by uncovering vital insights, identifying patterns, and distinguishing between similar conditions.