Metadata-Driven Trial Data Management-Application in Clinical Data Lakes

Comprehensive and Meticulous. Veristat delivers comprehensive data management services utilizing efficient yet meticulous processes coupled with state-of-the-art technologies. We design, build, and deploy clinical trial databases faster than the industry norm; and our highly experienced team of data management professionals manages your clinical trial data with zealous precision and accuracy.

Saama Technologies Inc is on Facebook.. Find out how Saama’s metadata-driven approach to clinical data lakes can help companies in clinical development focus on improving patient outcomes with faster. More. Metadata-Driven Trial Data Management-Application in Clinical Data Lakes. saama.com.

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Clinical trial data analytics software is the solution to the woes of the large untapped potential that lies hidden in electronic health records. Analysis and structuring of this volume of data can provide key beneficial insights about patient care and increase the company’s value of care giving. It can mitigate many challenges in the healthcare industry.

Clinical Data Management is the collection, integration and validation of clinical trial data During the clinical trial, the investigators collect data on the patients’ health for a defined time period. This data is sent to the trial sponsor, who then analyzes the pooled data using statistical analysis.

The key components of clinical data lakes which use Metadata Driven Approach are: Metadata Repository; Metadata Identification, Parsing Service; AI/ML Models as a Service for inference; Workflow Automation Service; Key Amazon Web Services (AWS) solutionss can be leveraged to build a robust Metadata Driven Clinical Data Lake. These include:

Organizational structure. This study is a randomized, open-label, blinded end-point trial of patients with angiographically defined CAD at two campuses of the New York University (NYU) School of Medicine, NYU Langone Medical Center and Bellevue Hospital (New York, NY) [19].

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Clinical Data Management Training Programs and Requirements. clinical data managers categorize, arrange and track information that researchers collect during clinical trials of pharmaceuticals and.

priority clinical trials. Our institution aimed to use Eureka! as the ETL engine for making local EHR data available to the network for query. Local EHR data is available through the Emory Clinical Data Warehouse, an enterprise relational data warehouse architected with a dimensional modeling approach.