Abstract: A method for selective modification to one of a plurality of components includes receiving, by an engine, a draft transcript including at least one concept content. The method includes accessing, by a first component in a plurality of components executed by the engine, a mapping between content data and codes to identify a code mapped to the at least one concept content. The method includes modifying the draft transcript to include the identified code. The method includes receiving input representing a status of the identified code. The method includes accessing a data structure storing an indication that the first component identified the code. The method includes modifying a reliability score for the first component. The method includes determining that the first component has a reliability score that fails to satisfy a predetermined threshold. The method includes modifying execution of the first component, based on the determination.

Abstract: A method for selective modification to one of a plurality of components includes receiving, by an engine, a draft transcript including at least one concept content. The method includes accessing, by a first component in a plurality of components executed by the engine, a mapping between content data and codes to identify a code mapped to the at least one concept content. The method includes modifying the draft transcript to include the identified code. The method includes receiving input representing a status of the identified code. The method includes accessing a data structure storing an indication that the first component identified the code. The method includes modifying a reliability score for the first component. The method includes determining that the first component has a reliability score that fails to satisfy a predetermined threshold. The method includes modifying execution of the first component, based on the determination.

Abstract: A computerized billing code generator reviews billing source data containing both admissible data (such as physician's notes) and inadmissible data (such as nurse's notes). The billing code generator determines whether to generate a request to review the first data based on both the first data and the second data. For example, the billing code generator may generate the request in response to determining that the second data contains information that is inconsistent with information contained in the first data. As another example, the billing code generator may generate the request in response to determining that the second data contains information that is not contained within the first data.

Abstract: A computer-based system includes a computer-processable definition of a region in a data set. The system identifies a region of the data set based on the definition of the region. The system provides output to a user representing a question and the identified region of the data set. The system may also automatically generate an answer to the question based on the question and the data set, and provide output to the user representing the answer. The system may generate the answer based on a subset of the data set, and provide output to the user representing the subset of the data set. The user may provide feedback on the first answer to the system, which the system may use to improve subsequent answers to the same and other questions, and to disable the system's automatic question-answering function in response to disagreement between the user and the system.

Abstract: A method for dynamic de-identification of a document includes generating a document including a tag associated with an element including protected health information, the tag including at least one instruction for rendering the element. The method includes identifying a level of authorization of a user requesting access to the generated document. The method includes rendering the document for display to the user according to the at least one instruction in the tag, based on the determined level of authorization.

Abstract: A computer-based system includes a computer-processable definition of a region in a data set. The system identifies a region of the data set based on the definition of the region. The system provides output to a user representing a question and the identified region of the data set. The system may also automatically generate an answer to the question based on the question and the data set, and provide output to the user representing the answer. The system may generate the answer based on a subset of the data set, and provide output to the user representing the subset of the data set. The user may provide feedback on the first answer to the system, which the system may use to improve subsequent answers to the same and other questions, and to disable the system's automatic question-answering function in response to disagreement between the user and the system.

Abstract: A computer-based system includes a computer-processable definition of a region in a data set. The system identifies a region of the data set based on the definition of the region. The system provides output to a user representing a question and the identified region of the data set. The system may also automatically generate an answer to the question based on the question and the data set, and provide output to the user representing the answer. The system may generate the answer based on a subset of the data set, and provide output to the user representing the subset of the data set. The user may provide feedback on the first answer to the system, which the system may use to improve subsequent answers to the same and other questions, and to disable the system's automatic question-answering function in response to disagreement between the user and the system.

Abstract: A computer-based system includes a computer-processable definition of a region in a data set. The system identifies a region of the data set based on the definition of the region. The system provides output to a user representing a question and the identified region of the data set. The system may also automatically generate an answer to the question based on the question and the data set, and provide output to the user representing the answer. The system may generate the answer based on a subset of the data set, and provide output to the user representing the subset of the data set. The user may provide feedback on the first answer to the system, which the system may use to improve subsequent answers to the same and other questions, and to disable the system's automatic question-answering function in response to disagreement between the user and the system.

Abstract: A computer-based system includes a computer-processable definition of a region in a data set. The system identifies a region of the data set based on the definition of the region. The system provides output to a user representing a question and the identified region of the data set. The system may also automatically generate an answer to the question based on the question and the data set, and provide output to the user representing the answer. The system may generate the answer based on a subset of the data set, and provide output to the user representing the subset of the data set. The user may provide feedback on the first answer to the system, which the system may use to improve subsequent answers to the same and other questions, and to disable the system's automatic question-answering function in response to disagreement between the user and the system.

Abstract: A system applies rules to a set of documents to generate codes, such as billing codes for use in medical billing. A human operator provides input specifying whether the generated codes are correct. Based on the input from the human operator, the system attempts to identify which clause(s) in the rules which were relied on to generate the particular code are correct and which such clause(s) are incorrect. The system then assigns praise to components of the system responsible for generating codes in the correct clauses, and assigns blame to components of the system responsible for generating codes in the incorrect clauses. Such blame and praise may then be used to determine whether particular code-generating components are insufficiently reliable. The system may disable, or take other remedial action in response to, insufficiently reliable code-generating components.

Abstract: A system applies rules to a set of documents to generate codes, such as billing codes for use in medical billing. A human operator provides input specifying whether the generated codes are correct. Based on the input from the human operator, the system attempts to identify which clause(s) in the rules which were relied on to generate the particular code are correct and which such clause(s) are incorrect. The system then assigns praise to components of the system responsible for generating codes in the correct clauses, and assigns blame to components of the system responsible for generating codes in the incorrect clauses. Such blame and praise may then be used to determine whether particular code-generating components are insufficiently reliable. The system may disable, or take other remedial action in response to, insufficiently reliable code-generating components.

Abstract: A computerized billing code generator reviews billing source data containing both admissible data (such as physician's notes) and inadmissible data (such as nurse's notes). The billing code generator determines whether to generate a request to review the first data based on both the first data and the second data. For example, the billing code generator may generate the request in response to determining that the second data contains information that is inconsistent with information contained in the first data. As another example, the billing code generator may generate the request in response to determining that the second data contains information that is not contained within the first data.

Abstract: A system applies rules to a set of documents to generate codes, such as billing codes for use in medical billing. A human operator provides input specifying whether the generated codes are correct. Based on the input from the human operator, the system attempts to identify which clause(s) in the rules which were relied on to generate the particular code are correct and which such clause(s) are incorrect. The system then assigns praise to components of the system responsible for generating codes in the correct clauses, and assigns blame to components of the system responsible for generating codes in the incorrect clauses. Such blame and praise may then be used to determine whether particular code-generating components are insufficiently reliable. The system may disable, or take other remedial action in response to, insufficiently reliable code-generating components.

Abstract: A computer-based system includes a computer-processable definition of a region in a data set. The system identifies a region of the data set based on the definition of the region. The system provides output to a user representing a question and the identified region of the data set. The system may also automatically generate an answer to the question based on the question and the data set, and provide output to the user representing the answer. The system may generate the answer based on a subset of the data set, and provide output to the user representing the subset of the data set. The user may provide feedback on the first answer to the system, which the system may use to improve subsequent answers to the same and other questions, and to disable the system's automatic question-answering function in response to disagreement between the user and the system.