Determining patient state and next-best actions with therapeutic interventions
AssigneeEvidium, Inc.
InventorsArnav Saxena, Wian Stipp, Matthew Mcsorley, Fady Nakhla, Sean Thomas, Carl Bate
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AssigneeEvidium, Inc.
InventorsArnav Saxena, Wian Stipp, Matthew Mcsorley, Fady Nakhla, Sean Thomas, Carl Bate
Estimating the term…
A computational evidence platform extracts clinical concepts from medical evidence sources and creates a knowledge graph of elemental factors, investigations and therapeutic interventions (drug and nondrug therapies) all linked to medical conditions. Condition-dependent properties are stored between medical condition nodes and these factor, investigation and therapeutic intervention nodes. The knowledge graph is queried using natural language from a user interface, API or AI agent with contextual patient data or without. A document indexer creates elemental nodes from a document and a document node and stores these in the knowledge graph. A patient state is determined by extracting factors, investigations and therapies from a patient chart. Next-best actions per condition are determined by identifying factors, investigations and therapies not yet performed. Next-best actions across conditions are determined by assuming that therapies not present are now present in a patient chart.
A method of improving a medical diagnosis when determining a state of a patient across heterogeneous medical ontologies, said method comprising:
A computer system for improving a medical diagnosis when determining a state of a patient across heterogeneous medical ontologies, said computer system comprising:
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