Visual grids for managing data completeness in clinical research datasets.

Missing data arise in clinical research datasets for reasons ranging from incomplete electronic health records to incorrect trial data collection. Thi...
2MB Sizes 3 Downloads 7 Views

Recommend Documents


Managing large-scale genomic datasets and translation into clinical practice.
To summarize excellent current research in the field of Bioinformatics and Translational Informatics with application in the health domain.

Data Integration for Heterogenous Datasets.
More and more, the needs of data analysts are requiring the use of data outside the control of their own organizations. The increasing amount of data available on the Web, the new technologies for linking data across datasets, and the increasing need

BioBankWarden: A web-based system to support translational cancer research by managing clinical and biomaterial data.
Researchers of translational medicine face numerous challenges in attempting to bring research results to the bedside. This field of research covers a wide range of resources, including blood and tissue samples, which are processed for isolation of R

Modeling Flowsheet Data for Clinical Research.
Health care data included in clinical data repositories (CDRs) are increasingly used for quality reporting, business analytics and research; however, extended clinical data from interprofessional practice are seldom included. With the increasing emph

Clinical Research Manual: Practical Tools and Templates for Managing Clinical Research Cavalieri Jennifer and Rupp Mark Clinical Research Manual: Practical Tools and Templates for Managing Clinical Research 336pp US$44.95 Sigma Theta Tau 9781937554637 1937554635 [Formula: see text].
CLINICAL NURSES, alongside other healthcare professionals, are being drawn into clinical research in their day-to-day working in different ways, so an understanding of how clinical trials are managed and what role nurses can play in them is important

Creating a data exchange strategy for radiotherapy research: towards federated databases and anonymised public datasets.
Disconnected cancer research data management and lack of information exchange about planned and ongoing research are complicating the utilisation of internationally collected medical information for improving cancer patient care. Rapidly collecting/p

High-density grids for efficient data collection from multiple crystals.
Higher throughput methods to mount and collect data from multiple small and radiation-sensitive crystals are important to support challenging structural investigations using microfocus synchrotron beamlines. Furthermore, efficient sample-delivery met

Considerations for using research data to verify clinical data accuracy.
Collected to support clinical decisions and processes, clinical data may be subject to validity issues when used for research. The objective of this study is to examine methods and issues in summarizing and evaluating the accuracy of clinical data as

A New Paradigm to Analyze Data Completeness of Patient Data.
There is a need to develop a tool that will measure data completeness of patient records using sophisticated statistical metrics. Patient data integrity is important in providing timely and appropriate care. Completeness is an important step, with an