Eldermark
Improve workflow processes, revenue optimization, business development and marketing, and improve clinical outcomes. You can connect your entire community seamlessly, empower your staff to work better, and get a holistic view on your community's financial performance. This will give you the proactive insights that you need to streamline operations and optimize revenue. You'll be able to centralize all your clinical and business operations on one platform, which will give you the simplified solutions, economies-of-scale and enhanced security that you need to be a top-quality care provider. You will have a better understanding of your performance in relation to your financial and occupancy goals, your staff's safety and satisfaction, and you will be able to tackle the many challenges that face you every day.
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DataBuck
Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.
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BizNet
Sarjen provides an integrated Clinical Trial Management System (CTMS) and Bioanalytical LIMS designed to support complete digital transformation across early-phase and late-phase clinical research. The platform brings clinical operations, site management, subject tracking, financial oversight, and laboratory sample lifecycle management into one unified ecosystem, giving sponsors, CROs, and research teams full visibility and control over their studies. With a user-friendly interface and configurable workflows, it simplifies complex processes while maintaining strict regulatory compliance and data integrity. Built as an AI-enabled solution, the software leverages advanced analytics and machine learning to improve operational efficiency and decision-making. Intelligent dashboards deliver real-time insights, predictive enrollment forecasting helps optimize recruitment strategies, and automated risk detection highlights potential delays or data inconsistencies before they impact study timelines. AI-driven query management and anomaly detection in bioanalytical data reduce manual effort and enhance accuracy across trial and laboratory operations. By combining automation, centralized data management, and smart reporting, the platform accelerates study startup, improves collaboration between clinical and lab teams, and ensures audit readiness at every stage. Through innovation, AI, and transformation-focused design, it empowers organizations to conduct faster, smarter, and more reliable clinical research while confidently navigating the evolving demands of global trials.
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Saama
Harnessing actionable insights from the leading AI-driven clinical analytics platform allows your teams to effectively manage risk and enhance performance throughout studies, systems, sites, and vendor relationships. The cutting-edge technology from Saama is specifically crafted to optimize workflows, automate labor-intensive tasks, and foster improved collaboration among various clinical functions such as operations, medical review, data management, biostatistics, and pharmacovigilance. Both sponsors and CROs depend on Saama's capabilities for data aggregation and AI solutions, which facilitate superior decision-making, minimize delays, and drastically reduce costs and timelines associated with drug development. By leveraging Saama's tools, you can accelerate the pace of clinical trial innovation. When your clinical data is centralized and continuously updated, it simplifies the lives of your ClinOps and medical review teams considerably. Furthermore, Data Managers, often undervalued, can shift their focus from repetitive tasks to the critical data points that truly drive project success, ensuring that their expertise is fully utilized in the process. This transformation not only enhances efficiency but also contributes to the overall quality of clinical outcomes.
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