Optimized study design, precise site selection and faster patient search and identification for clinical research - in real time.
Clinerion’s Patient Network Explorer uses a hybrid cloud infrastructure to search patients’ EHRs and identify eligible candidates for clinical research. With an ontology-based approach, it extracts unstructured data that fits specific criteria from connected hospitals, aggregates the information, and compares it across all electronic information sources using artificial intelligence, machine learning, natural language processing, and other advanced informatics methodologies.
The Clinerion hybrid cloud architecture is driven by requirements for patient privacy and data security, scalability, and flexibility. Patient Network Explorer comprises two types of installations, Clinerion Nodes in local intranets, hosting patient data; and the Clinerion Cloud, which orchestrates the overall system and holds job requests (e.g. search query requests). Data are only sent via intranet to the local Clinerion Node instead of to a central cloud.
The particular benefits arising from the use of cloud computing are in the areas of patient privacy and data security, and scalability and flexibility:
Clinerion has been named a Finalist in the BIG Stratus Awards for Cloud Computing, recognizing the Patient Network Explorer as a unique solution that takes advantage of cloud technologies.
Benefits of the Hybrid Network
The hospital is in control of patient data
The system is user-friendly and scalable: