Clinical Research
With a platform unlike any research PACS you've ever used, you can unleash the potential of your clinical data and scale your research operations to promote better quality of care and outcomes throughout your company.
Proxmed makes it simple for you to gather, organize, and manage imaging and associated data from various sources. Our cloud-based solutions help speed up your study and offer safe, legal collaboration. Proxmed is a complete solution for managing the data used in clinical research. It includes tools for indexing, ingesting, and curating data as well as automating processing and machine learning pipelines.
Secure Multi-Center Collaboration
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PACS and EMR integration can speed up the discovery of patient cohorts
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Effectively index and search radiology records and metadata for easy access
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For accurate data, use quality checks and automated pre-processing
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Create flexible workflows by using Matlab, Python, and APIs
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Ensure safe cooperation between various centers
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Ensure the confidentiality of patient data and privacy
Machine Learning
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Scale your machine learning system to deal with big datasets and provide insightful results
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Manage blind reader studies effectively while preserving data integrity and adhering to regulations
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Streamline the procedures of image annotation, categorization, and data labeling for effective model training
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To increase trust and comprehension, improve the model's ability to be understood and explained
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Streamline clinical trial management processes for data collecting, processing, and sharing
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Automate research processes to increase the effectiveness of doing clinical trials
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Make your favorite imaging workstations connectable so you can easily retrieve imaging data
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Implement quality assurance procedures to verify the accuracy and dependability of the data
Clinical Trials
ProxMed empowers us to maximize the value of our current assets through the uniformity of data pipelines across various research projects. Efficiently accessing and collaborating on data becomes a rapid process, bolstered by the assurance that everyone is working with a shared, secure dataset that is continuously updated. This enables our researchers to enhance their productivity in artificial intelligence and collaborative research, minimizing the time spent on data management.
Emma Will, Position
Advancing Research and Development by incorporating Medical imaging at scale
Streamline Data Management for presicion medicine at Imaging core
Advancing Research and Development by incorporating Medical imaging at scale