MModal IP LLC Patent applications |
Patent application number | Title | Published |
20160140193 | User Interface for Predictive Model Generation - A dataset is searched using inclusion set criteria to produce an inclusion set and exclusion set criteria to produce an exclusion set. A set of unique content elements is identified from the inclusion set and the exclusion set. Metrics are derived from the inclusion set, exclusion set, and set of unique content elements, such as a measure, for each unique content element, of the absolute value of the difference between the percentage of records in the inclusion set containing the unique content element and the percentage of records in the exclusion set containing the unique content element. The unique content element set may be sorted and displayed in decreasing order of the above-referenced absolute value. The content element set may be filtered. Individual content elements may be excluded from the content set. A predictive model may be generated based on the resulting version of the content element set. | 05-19-2016 |
20160086604 | Speech Recognition Using Loosely Coupled Components - An automatic speech recognition system includes an audio capture component, a speech recognition processing component, and a result processing component which are distributed among two or more logical devices and/or two or more physical devices. In particular, the audio capture component may be located on a different logical device and/or physical device from the result processing component. For example, the audio capture component may be on a computer connected to a microphone into which a user speaks, while the result processing component may be on a terminal server which receives speech recognition results from a speech recognition processing server. | 03-24-2016 |
20160078861 | Discriminative Training of Document Transcription System - A system is provided for training an acoustic model for use in speech recognition. In particular, such a system may be used to perform training based on a spoken audio stream and a non-literal transcript of the spoken audio stream. Such a system may identify text in the non-literal transcript which represents concepts having multiple spoken forms. The system may attempt to identify the actual spoken form in the audio stream which produced the corresponding text in the non-literal transcript, and thereby produce a revised transcript which more accurately represents the spoken audio stream. The revised, and more accurate, transcript may be used to train the acoustic model using discriminative training techniques, thereby producing a better acoustic model than that which would be produced using conventional techniques, which perform training based directly on the original non-literal transcript. | 03-17-2016 |
20160005402 | Content-Based Audio Playback Emphasis - Techniques are disclosed for facilitating the process of proofreading draft transcripts of spoken audio streams. In general, proofreading of a draft transcript is facilitated by playing back the corresponding spoken audio stream with an emphasis on those regions in the audio stream that are highly relevant or likely to have been transcribed incorrectly. Regions may be emphasized by, for example, playing them back more slowly than regions that are of low relevance and likely to have been transcribed correctly. Emphasizing those regions of the audio stream that are most important to transcribe correctly and those regions that are most likely to have been transcribed incorrectly increases the likelihood that the proofreader will accurately correct any errors in those regions, thereby improving the overall accuracy of the transcript. | 01-07-2016 |
20150371145 | Providing Computable Guidance to Relevant Evidence in Question-Answering Systems - 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. | 12-24-2015 |
20150269221 | Search by Example - A computer system uses a search engine to search a dataset using an initial query provided by a user and thereby to produce initial search results. The system enables the user to select portions of the initial search results. The system identifies metadata associated with the selected portions, and displays information representing that metadata in a form that is easily understandable by a person not trained in the annotation system in which the search results are encoded. The user may instruct the system to add one or more of the displayed metadata elements to the initial query, in response to which the system may add the specified metadata elements to the initial query to produce a modified query. The system may search the dataset using the modified query and thereby produce modified search results. The process may be repeated as desired by the user to further refine the search results. | 09-24-2015 |
20150179172 | Speech Recognition Using Loosely Coupled Components - An automatic speech recognition system includes an audio capture component, a speech recognition processing component, and a result processing component which are distributed among two or more logical devices and/or two or more physical devices. In particular, the audio capture component may be located on a different logical device and/or physical device from the result processing component. For example, the audio capture component may be on a computer connected to a microphone into which a user speaks, while the result processing component may be on a terminal server which receives speech recognition results from a speech recognition processing server. | 06-25-2015 |
20150154168 | Structured Searching of Dynamic Structured Document Corpuses - A system includes a document corpus containing structured documents, which contain both text and annotations of the text. The system also includes a search engine which is adapted to perform structured searches of the structured documents. As new types of annotations are added to the system, the search engine is updated automatically to become capable of performing structured searches for the new types of annotations. For example, if a new natural language processing (NLP) component, adapted to generate annotations of a new type, is added to the system, then the system automatically updates a query language to include a definition of the new type of annotation. The search engine may then immediately be capable of processing structured queries which refer to the new type of annotation. | 06-04-2015 |
20150088504 | Computer-Assisted Abstraction of Data and Document Coding - A computer-assisted method of abstracting and coding data includes receiving one or more documents is disclosed. The methods and systems extract information from a record based on extraction rules that correspond to an identified record type, determine codes corresponding to the information extracted from the record, present the correspondence between the extracted information and the codes, receive from the user-input device a validation of the correspondence between the extracted information and one of the codes, and output a report including the validated information and the validated code. | 03-26-2015 |
20150081716 | Computer-Assisted Abstraction for Reporting of Quality Measures - Methods and systems are disclosed for tracking quality measures in abstracted documents. Embodiments include, determining, based on the abstracted content, a quality measure category, obtaining a quality measure definition corresponding to a quality measure included in the determined quality measure category, determining, based on keywords corresponding to the criterion, whether a portion of the abstracted content satisfies a criterion, recording, in association with the criterion, a reference to the portion of the abstracted content that satisfies the criterion; and selectively generating, a report including the query corresponding to the criterion, a query response, and the portion of the abstracted content satisfying the criterion. | 03-19-2015 |
20140343963 | Dynamic Superbill Coding Workflow - A computer system generates an initial set of billing codes based on one or more documents (e.g., clinical notes) representing a patient encounter, such as clinical notes created by a physician. The system expands the initial set of billing codes based on a billing code standard to create an expanded set of billing codes for consideration by the physician. The system provides output representing the expanded billing code set to the physician. The physician selects one or more billing codes from the expanded billing code set for inclusion in a final billing code set for use in a bill for the services provided in the patient encounter. | 11-20-2014 |
20140343939 | Discriminative Training of Document Transcription System - A system is provided for training an acoustic model for use in speech recognition. In particular, such a system may be used to perform training based on a spoken audio stream and a non-literal transcript of the spoken audio stream. Such a system may identify text in the non-literal transcript which represents concepts having multiple spoken forms. The system may attempt to identify the actual spoken form in the audio stream which produced the corresponding text in the non-literal transcript, and thereby produce a revised transcript which more accurately represents the spoken audio stream. The revised, and more accurate, transcript may be used to train the acoustic model using discriminative training techniques, thereby producing a better acoustic model than that which would be produced using conventional techniques, which perform training based directly on the original non-literal transcript. | 11-20-2014 |
20140304002 | Collaborative Synthesis-Based Clinical Documentation - A graphical user interface, referred to herein as a virtual whiteboard, that provides both: (1) an automatically prioritized display of information related to a particular patient that is tailored to the current user of the system, and (2) a “scratch pad” area in which multiple users of the system may input free-form text and other data for sharing with other users of the system. When each user of the system accesses the virtual whiteboard, the system: (1) automatically prioritizes the patient information based on characteristics of the user and displays the automatically prioritized patient information to that user, and (2) displays the contents of the scratch pad to the user. As a result, the whiteboard displays both information that is tailored to the current user and information that is common to all users (i.e., not tailored to any particular user). | 10-09-2014 |
20140278553 | Dynamic Superbill Coding Workflow - A computer system generates an initial set of billing codes based on one or more documents (e.g., clinical notes) representing a patient encounter, such as clinical notes created by a physician. The system expands the initial set of billing codes based on a billing code standard to create an expanded set of billing codes for consideration by the physician. The system provides output representing the expanded billing code set to the physician. The physician selects one or more billing codes from the expanded billing code set for inclusion in a final billing code set for use in a bill for the services provided in the patient encounter. | 09-18-2014 |
20140278549 | Collaborative Synthesis-Based Clinical Documentation - A graphical user interface, referred to herein as a virtual whiteboard, that provides both: (1) an automatically prioritized display of information related to a particular patient that is tailored to the current user of the system, and (2) a “scratch pad” area in which multiple users of the system may input free-form text and other data for sharing with other users of the system. When each user of the system accesses the virtual whiteboard, the system: (1) automatically prioritizes the patient information based on characteristics of the user and displays the automatically prioritized patient information to that user, and (2) displays the contents of the scratch pad to the user. As a result, the whiteboard displays both information that is tailored to the current user and information that is common to all users (i.e., not tailored to any particular user). | 09-18-2014 |
20140249818 | Document Transcription System Training - A system is provided for training an acoustic model for use in speech recognition. In particular, such a system may be used to perform training based on a spoken audio stream and a non-literal transcript of the spoken audio stream. Such a system may identify text in the non-literal transcript which represents concepts having multiple spoken forms. The system may attempt to identify the actual spoken form in the audio stream which produced the corresponding text in the non-literal transcript, and thereby produce a revised transcript which more accurately represents the spoken audio stream. The revised, and more accurate, transcript may be used to train the acoustic model, thereby producing a better acoustic model than that which would be produced using conventional techniques, which perform training based directly on the original non-literal transcript. | 09-04-2014 |
20140222784 | User Interface for Predictive Model Generation - A dataset is searched using inclusion set criteria to produce an inclusion set and exclusion set criteria to produce an exclusion set. A set of unique content elements is identified from the inclusion set and the exclusion set. Metrics are derived from the inclusion set, exclusion set, and set of unique content elements, such as a measure, for each unique content element, of the absolute value of the difference between the percentage of records in the inclusion set containing the unique content element and the percentage of records in the exclusion set containing the unique content element. The unique content element set may be sorted and displayed in decreasing order of the above-referenced absolute value. The content element set may be filtered. Individual content elements may be excluded from the content set. A predictive model may be generated based on the resulting version of the content element set. | 08-07-2014 |
20140164197 | User Feedback in Semi-Automatic Question Answering Systems - 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. | 06-12-2014 |
20140163974 | Distributed Speech Recognition Using One Way Communication - A speech recognition client sends a speech stream and control stream in parallel to a server-side speech recognizer over a network. The network may be an unreliable, low-latency network. The server-side speech recognizer recognizes the speech stream continuously. The speech recognition client receives recognition results from the server-side recognizer in response to requests from the client. The client may remotely reconfigure the state of the server-side recognizer during recognition. | 06-12-2014 |
20140149114 | Automatic Decision Support - Speech is transcribed to produce a transcript. At least some of the text in the transcript is encoded as data. These codings may be verified for accuracy and corrected if inaccurate. The resulting transcript is provided to a decision support system to perform functions such as checking for drug-drug, drug-allergy, and drug-procedure interactions, and checking against clinical performance measures (such as recommended treatments). Alerts and other information output by the decision support system are associated with the transcript. The transcript and associated decision support output are provided to a physician to assist the physician in reviewing the transcript and in taking any appropriate action in response to the transcript. | 05-29-2014 |
20140047375 | Maintaining a Discrete Data Representation that Corresponds to Information Contained in Free-Form Text - A system includes a data record (such as an Electronic Medical Record (EMR)) and a user interface for modifying (e.g., storing data in) the data record. The data record includes both free-form text elements and discrete data elements. The user interface includes user interface elements for receiving free-form text data. In response to receiving free-form text data via the free-form text user interface elements, a suggested action is identified, such as a suggested action to take in connection with one of the discrete data elements of the data record. Output is generated representing the suggested action. A user provides input indicating acceptance or rejection of the suggested action. The suggested action may be performed in response to the user input. | 02-13-2014 |
20130346074 | Verification of Extracted Data - Facts are extracted from speech and recorded in a document using codings. Each coding represents an extracted fact and includes a code and a datum. The code may represent a type of the extracted fact and the datum may represent a value of the extracted fact. The datum in a coding is rendered based on a specified feature of the coding. For example, the datum may be rendered as boldface text to indicate that the coding has been designated as an “allergy.” In this way, the specified feature of the coding (e.g., “allergy”-ness) is used to modify the manner in which the datum is rendered. A user inspects the rendering and provides, based on the rendering, an indication of whether the coding was accurately designated as having the specified feature. A record of the user's indication may be stored, such as within the coding itself. | 12-26-2013 |
20120215782 | Computer-Assisted Abstraction for Reporting of Quality Measures - Methods and systems are disclosed for tracking quality measures in abstracted documents. Embodiments include, determining, based on the abstracted content, a quality measure category, obtaining a quality measure definition corresponding to a quality measure included in the determined quality measure category, determining, based on keywords corresponding to the criterion, whether a portion of the abstracted content satisfies a criterion, recording, in association with the criterion, a reference to the portion of the abstracted content that satisfies the criterion; and selectively generating, a report including the query corresponding to the criterion, a query response, and the portion of the abstracted content satisfying the criterion. | 08-23-2012 |