Electronic medical record summary and presentation

1. A computer-implemented method of outputting a summary for a user, said method comprising:

extracting data from an electronic record using natural language processing techniques that use an ontology to recognize medical concepts;

mapping said data from said electronic record to standardized medical concepts;

identifying relations between said problems and said data using a question-answering (QA) system;

generating a question using a question template based on a medical problem and said data extracted from said electronic record;

inputting said question into said QA system that uses natural language processing techniques, said QA system being separate from said electronic record and comprising a corpus of data having structured and unstructured data in a relevant domain, said corpus of data being maintained in at least one database separate from said electronic record;

obtaining an answer to said question, wherein said answer has a corresponding score;

identifying whether a relation exists between said medical problem and said medical data based on said score;

creating a clinical summary for said user associated with said medical record using a summarization template, said clinical summary comprising specific medical information for said user comprising said list of problems, said data, and said relations; and

outputting said clinical summary for said electronic record to enable rapid understanding of a patient's health, wherein said summary comprises said list of problems, said data, and said relations.

2. The method according to claim 1 , wherein said summary further comprises sections containing concepts organized into categories.

3. The method according to claim 2 , wherein said sections comprise laboratory test values, medications, and a timeline of clinical encounters.

4. The method according to claim 3 , further comprising:

receiving, by said computer, user interaction with a clinical encounter output in said timeline of clinical encounters; and

outputting, by said computer, information from said electronic record to said clinical encounter including content from a clinical note to said clinical encounter.

5. The method according to claim 3 , further comprising:

receiving, by said computer, user interaction with a laboratory test value or a medication output in said clinical summary; and

outputting, by said computer, a timeline of values corresponding to said laboratory test values or amounts of medication.

6. The method according to claim 1 , wherein said QA system comprises a probabilistic system that analyzes unstructured information and provides answers with scores.

7. A system for outputting a summary for a user, said system comprising modules comprising:

a mapping module of said modules mapping an electronic record to standardized medical concepts to identify a list of problems of said user;

an extracting module of said modules extracting data from said electronic record using natural language processing techniques that use an ontology to recognize medical concepts;

a relation identification module of said modules identifying relations between said medical problems and said other medical data using a question-answering (QA) system, wherein the QA system:

generating a question using a question template based on a medical problem and said data extracted from said electronic record;

inputting said question into said QA system that uses natural language processing techniques, said QA system being separate from said electronic record and comprising a corpus of data having structured and unstructured data in a relevant domain, said corpus of data being maintained in at least one database separate from said electronic record;

obtaining an answer to said question, wherein said answer has a corresponding score; and

identifying whether a relation exists between said medical problem and said medical data based on said score;

creating, by said computer, a clinical summary for said user associated with said medical record using a summarization template, said clinical summary comprising specific medical information for said user comprising said list of problems, said data, and said relations; and

an outputting module of said modules, outputting said clinical summary for said electronic record to enable rapid understanding of a patient's health, wherein said clinical summary comprises said list of medical problems, said medical data, and said relations.

8. The system according to claim 7 , wherein said summary further comprises sections containing concepts organized into categories.

9. The system according to claim 8 , wherein said sections comprise laboratory test values, medications, and a timeline of clinical encounters.

10. The system according to claim 9 , said receiving module receiving user interaction with a clinical encounter output in said timeline of clinical encounters, and said outputting module outputting information from said electronic record to said clinical encounter including content from a clinical note to said clinical encounter.

11. The system according to claim 9 , said receiving module receiving user interaction with a laboratory test value or a medication output in said clinical summary; and

said outputting module outputting a timeline of values corresponding to said laboratory test values or amounts of medication.

12. The system according to claim 7 , wherein said QA system comprises a probabilistic system that analyzes unstructured information and provides answers with scores.

13. A computer program product, said computer program product comprising a computer readable storage medium having program instructions embodied therewith, wherein the computer readable storage medium is not a transitory signal per se, the program instructions being executable by a computer, to perform a method of outputting a summary for a user comprising:

extracting data from an electronic record using natural language processing techniques that use an ontology to recognize medical concepts;

mapping said data from said electronic record to standardized medical concepts to identify a list of problems of said user;

identifying relations between said medical problems and said other medical data using a question-answering (QA) system, wherein the QA system:

generating a question using a question template based on a medical problem and said data extracted from said electronic record;

inputting said question into said QA system that uses natural language processing techniques, said QA system being separate from said electronic record and comprising a corpus of data having structured and unstructured data in a relevant domain, said corpus of data being maintained in at least one database separate from said electronic record;

obtaining an answer to said question, wherein said answer has a corresponding score; and

identifying whether a relation exists between said medical problem and said medical data based on said score;

creating a clinical summary for said user associated with said medical record using a summarization template, said clinical summary comprising specific medical information for said user comprising said list of problems, said data, and said relations; and

outputting said clinical summary for said electronic record to enable rapid understanding of a patient's health, wherein said clinical summary comprises said list of medical problems, said medical data, and said relations.

14. The computer program product according to claim 13 , wherein said clinical summary further comprises sections containing medical concepts organized into categories.

15. The computer program product according to claim 14 , wherein said sections comprise laboratory test values, medications, and a timeline of clinical encounters.

16. The computer program product according to claim 15 , further comprising:

receiving user interaction with a clinical encounter output in said timeline of clinical encounters; and

outputting information from said electronic record to said clinical encounter including content from a clinical note to said clinical encounter.

17. The computer program product according to claim 15 , further comprising:

receiving user interaction with a laboratory test value or a medication output in said clinical summary; and

outputting a timeline of values corresponding to said laboratory test values or amounts of medication.

18. The computer program product according to claim 13 , wherein said QA system comprises a probabilistic system that analyzes unstructured information and provides answers with scores.