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Computational medical treatment plan method and system with mass medical analysis

The present disclosure is directed toward global medical data analysis methods, systems, and computer program products for analyzing, classifying, and matching mass amounts of medical information from many sources and across different regions. The global medical data analysis system includes a medical main server that contains an intelligent medical engine, which is communicatively coupled to a central database, a confidential electronic medical records database, and further communicatively coupled through a network to hospitals, clinics, and other medical sources. The intelligent medical engine receives voluminous medical record, potentially from different countries, regions, and continents. Electronic Medical records are sourced from hospitals, clinics, and other medical sources, which are fed into the intelligent medical engine for large-scale analysis and correlation of patients' medical records globally. The analysis starts by degrouping (classifying) medical records into multiple levels of subgroups according to patient clinical parameters, disease templates, treatments and outcomes. When a new patient enters the system, that patient's parameters and disease template are matched against the closest subgroups to suggest treatments with potentially favorable outcomes.
Owner:MBL LTD

Computational medical treatment plan method and system with mass medical analysis

The present disclosure is directed toward global medical data analysis methods, systems, and computer program products for analyzing, classifying, and matching mass amounts of medical information from many sources and across different regions. The global medical data analysis system includes a medical main server that contains an intelligent medical engine, which is communicatively coupled to a central database, a confidential electronic medical records database, and further communicatively coupled through a network to hospitals, clinics, and other medical sources. The intelligent medical engine receives voluminous medical record, potentially from different countries, regions, and continents. Electronic Medical records are sourced from hospitals, clinics, and other medical sources, which are fed into the intelligent medical engine for large-scale analysis and correlation of patients' medical records globally. The analysis starts by degrouping (classifying) medical records into multiple levels of subgroups according to patient clinical parameters, disease templates, treatments and outcomes. When a new patient enters the system, that patient's parameters and disease template are matched against the closest subgroups to suggest treatments with potentially favorable outcomes.
Owner:MBL LTD
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