A system and a method for assessing patient treatment risk using open data and clinician input

摘要

A system for assessing patient treatment risk using open data and clinician input, comprises: a healthcare knowledge data input to receive open data and clinician knowledge relating to risk; a healthcare risk engine to provide a healthcare risk knowledge graph from the open data and by using clinician input of risk-related terms (e.g. potential diseases, risk factors, treatments) to retrieve relevant documents from the open data and by extracting the healthcare risk knowledge graph as entities from the documents corresponding to the clinician's terms, as well as the links between the entities; a patient risk graph prediction module to predict risks for a specific patient by combining information in a Patient Clinical Object (PCO), with entities in the healthcare risk knowledge graph to produce a patient risk graph; and an impact estimator module to estimate the impact of a specific potential treatment by combining a patient treatment subgraph and a healthcare treatment subgraph and retaining the resultant linked nodes as the impact graph. The PCO may be an aggregation of clinical entities that encapsulates items of information (diagnosis, symptom, treatment, hospital visit and prescription) about a given patient.