Omda Compos
Effective monitoring of the efficacy of drug treatments and treatment protocols relies on the collection and seamless sharing of comprehensive, timely, and high-quality data. The Omda Compos set of solutions is designed to facilitate robust management and seamless sharing of medical data throughout the clinical ecosystem. This platform ensures data accessibility for users and applications involved in clinical studies and registries, enabling streamlined collaboration and data utilization. Omda Compos QR is the cornerstone of the Compos platform, encompassing a robust database architecture, data warehousing capabilities, user management, and other essential features that ensure data accuracy when managing medical data, from its collection to analysis. Efficiently granting user access and simplifying logging controls and data management are paramount for any registry or trial. In Omda Compos QR, users are assigned roles that determine their access to specific sites.
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ArborMetrix
At ArborMetrix, advancing healthcare through data science is our mission, and delivering high impact, intuitive technology and analytics is our passion. Our leading healthcare analytics solutions are proven to deliver targeted, clinically-deep insights that improve clinical outcomes, optimize financial performance, increase stakeholder value, and measure the real-world effectiveness of treatments and procedures, as well as medical device technologies and pharmaceuticals. Patient registries are useful across much of medicine, and post-market surveillance is one of their most valuable purposes. Here are the steps we take to help you create a trusted data resource. You need an efficient and secure way to collect large amounts of real-world data and prepare it for analysis. With the right technology, you can collect data from medical records, regulatory sources, patient-reported outcomes, and more for post-market surveillance activities.
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Ember
Unite and free your unstructured health data Interactive AI and NLP solution delivering health insights to Providers. Payers. Life Sciences. Interactive AI and NLP solution to unlock health insights from unstructured clinical notes data for: Provider. Accelerate data abstraction from and clinical validation of information contained in clinical notes. Decrease time and reduce costs required to identify care gaps, review care quality dashboards, and generate registry reports. Payer. Integrate and analyze both claims data and clinical notes to more effectively manage high risk and high cost member cohorts. Life Sciences. Rapidly match patients to clinical trials–and vice versa–using clinical trial databases and data from clinical notes. Leverage the power of real world clinical data and evidence. Ember is an end-to-end solution at the intersection of NLP and predictive analytics. Streamline. Healthcare Analytics for Unstructured Data to Improve Quality, Efficiency, and Outcomes
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REDCap Cloud
REDCap Cloud is a unified data-science platform that enables organizations to collect, integrate, standardize, analyze, and share real-world and regulatory-grade clinical and research data using a single standards-based system. It supports the full lifecycle of randomized clinical trials and real-world evidence studies by offering modules for complex trial design and deployment, a clinical data hub that converges eCRF and non-eCRF sources, real-time operational and data insights via AI/ML, eSource and EHR connectivity, patient engagement (ePRO/eCOA, wearable devices) for hybrid or decentralized trials, analytics including synthetic control arms and digital twins, and global compliance with security standards, all built to reduce data-silos, eliminate vendor fragmentation, deliver bidirectional data flows and give sponsors, CROs and health-systems end-to-end visibility and control across site performance, study data quality and regulatory readiness.
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