Grepsr by Grepsr
Grepsr is a managed data extraction and web scraping service, offering a 'data-as-a-service' model. Instead of selling software, Grepsr provides a team of expert data engineers who...
QureClinical is a web-based electronic data capture (EDC) and clinical data management system developed by Quretec. It provides a comprehensive suite of tools for designing studies, capturing patient data, and managing the entire data lifecycle. Key features include integrated monitoring dashboards, a robust query management system to resolve data discrepancies, and eSignature functionality to ensure regulatory compliance and audit readiness for clinical trials. This system is suitable for small to mid-sized biotechs, academic research centers, and CROs that require a fully-featured, web-accessible EDC and data management platform with built-in monitoring and compliance tools. This profile currently shows 3/5 based on 1 reviews and ratings.
This system is suitable for small to mid-sized biotechs, academic research centers, and CROs that require a fully-featured, web-accessible EDC and data management platform with built-in monitoring and compliance tools.
QureClinical is a competent and accessible web-based EDC system that offers a good balance of essential data management and monitoring features for cost-effective clinical trial execution.
Ratings in this section summarize available rating data. Software reviews are shown separately when users submit reviews.
This system is suitable for small to mid-sized biotechs, academic research centers, and CROs that require a fully-featured, web-accessible EDC and data management platform with built-in monitoring and compliance tools.
These are common features buyers compare in Electronic Data Capture Software. Product-specific availability should be confirmed with the vendor.
Maintain a chronological record of system changes including specific timestamps for accountability.
Centralized software for managing the workflows of one or more clinical trials.
Centralize the collection and tracking of Case Report Forms (CRFs) for research accuracy.
Efficiently gathering and moving data from various multiple systems into a target system.
Validate data sets to ensure precision and eliminate inconsistencies.
Collect documents and data using decentralized hardware like network scanners and MFDs.
Categorize and label documents with metadata to enable efficient search and retrieval.
Digitize physical paperwork into high-quality electronic formats for storage and retrieval.
Centralize the organization and distribution of templates and completed forms.
Electronically collect data from various sources outside a central office.
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