Abstract: A method improves performance of natural language processing by automatically generating ground truth from electronic health records comprising unstructured clinical notes and structured data comprising entries each having respective values for fields. The method includes: linking a given one of the notes to a given one of the entries responsive to determining that a specified field within the given entry matches an item of metadata for the given note; determining an initial set of the notes which satisfy criteria selected such that the criteria are a proxy for the ground truth, wherein the given note is determined to satisfy the criteria based at least in part on the given entry linked thereto; and designating at least a portion of the initial set of notes which satisfy the criteria, and the entries linked to the portion of the initial set of notes which satisfy the criteria, as the ground truth.

Abstract: A method improves performance of natural language processing by automatically generating ground truth from electronic health records comprising unstructured clinical notes and structured data comprising entries each having respective values for fields. The method includes: linking a given one of the notes to a given one of the entries responsive to determining that a specified field within the given entry matches an item of metadata for the given note; determining an initial set of the notes which satisfy criteria selected such that the criteria are a proxy for the ground truth, wherein the given note is determined to satisfy the criteria based at least in part on the given entry linked thereto; and designating at least a portion of the initial set of notes which satisfy the criteria, and the entries linked to the portion of the initial set of notes which satisfy the criteria, as the ground truth.

Abstract: A mechanism is provided in a data processing system comprising at least one processor and at least one memory comprising instructions, which are executed by the at least one processor and configure the processor to implement a patient information extractor. The patient information extractor receives a query specification for executing a query on a patient electronic medical record (EMR). The query specification provides parameters indicating a methodology for extracting search results from the patient EMR. The patient information extractor retrieves the patient EMR from a patient registry. The patient information extractor automatically executes the query specification on the retrieved patient EMR to thereby extract the search results from the patient EMR in accordance with the parameters of the query specification. The patient information extractor automatically processes the extracted search results to generate a patient indicator value.

Abstract: Systems, computer-implemented methods, and computer program products that can facilitate summarization of medication events based on multidimensional medication event data extracted from a data source are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an extraction component that employs a model to extract multidimensional medication event data of one or more medication events from at least one data source. The computer executable components can further comprise a classification component that classifies the one or more medication events into orthogonal dimensions based on the multidimensional medication event data.

Abstract: A mechanism is provided in a data processing system comprising at least one processor and at least one memory comprising instructions, which are executed by the at least one processor and configure the processor to implement a patient information extractor. The patient information extractor receives a query specification for executing a query on a patient electronic medical record (EMR). The query specification provides parameters indicating a methodology for extracting search results from the patient EMR. The patient information extractor retrieves the patient EMR from a patient registry. The patient information extractor automatically executes the query specification on the retrieved patient EMR to thereby extract the search results from the patient EMR in accordance with the parameters of the query specification. The patient information extractor automatically processes the extracted search results to generate a patient indicator value.

Abstract: A contextually relevant patient information extractor is provided that receives an input question directed to medical information about a patient; analyzes a patient's electronic medical records (EMRs) to identify an initial entry in the patient's EMRs corresponding to a candidate answer to the input question; analyzes a context of the patient's EMRs based on the initial entry to identify entries in the patient's EMR that are contextually connected to the initial entry; performs question answering analysis on the initial entry and entries that are contextually connected to the initial entry to identify one or more candidate answers to the input question; and outputs a final answer to the input question based on the question answering analysis.