Abstract: An original text that is a representation of a narration of a patient encounter provided by a clinician may be received and re-formatted to produce a formatted text. One or more clinical facts may be extracted from the formatted text. A first fact of the clinical facts may be extracted from a first portion of the formatted text, and the first portion of the formatted text may be a formatted version of a first portion of the original text. A linkage may be maintained between the first fact and the first portion of the original text.

Abstract: Method and apparatus for providing guidance to medical professionals. In some embodiments, at least one natural language understanding engine is used to analyze at least one narrative provided by a radiologist in connection with a study of one or more medical images. One or more decision rules are applied to one or more facts extracted by the at least one natural language understanding engine from the at least one narrative, and a result of applying the one or more decision rules to the one or more facts extracted from the at least one narrative is used to provide guidance to the radiologist.

Abstract: Systems and methods for analyzing a medical report to determine whether the medical report includes at least one instance of at least one category selected from a group consisting of: gender error, laterality error, and critical finding. In some embodiments, one or more portions of text are identified from the medical report. Contextual information associated with the medical report is used to determine whether the identified one or more portions of text comprise at least one instance of at least one category selected from the group.

Abstract: Disclosed herein are systems, methods, and non-transitory computer-readable storage media for processing multimodal input. A system configured to practice the method continuously monitors an audio stream associated with a gesture input stream, and detects a speech event in the audio stream. Then the system identifies a temporal window associated with a time of the speech event, and analyzes data from the gesture input stream within the temporal window to identify a gesture event. The system processes the speech event and the gesture event to produce a multimodal command. The gesture in the gesture input stream can be directed to a display, but is remote from the display. The system can analyze the data from the gesture input stream by calculating an average of gesture coordinates within the temporal window.

Abstract: Method and apparatus for providing guidance to medical professionals. In some embodiments, at least one natural language understanding engine is used to analyze at least one narrative provided by a radiologist in connection with a study of one or more medical images. One or more decision rules are applied to one or more facts extracted by the at least one natural language understanding engine from the at least one narrative, and a result of applying the one or more decision rules to the one or more facts extracted from the at least one narrative is used to provide guidance to the radiologist.

Abstract: Techniques for presenting alternative hypotheses for medical facts may include identifying, using at least one statistical fact extraction model, a plurality of alternative hypotheses for a medical fact to be extracted from a portion of text documenting a patient encounter. At least two of the alternative hypotheses may be selected, and the selected hypotheses may be presented to a user documenting the patient encounter.

Abstract: Techniques for coding a medical report include identifying an acronym or abbreviation in the medical report, and a plurality of phrases not explicitly included in the medical report that are possible expanded forms of the acronym or abbreviation in the medical report. From the plurality of phrases, a most likely expanded form of the acronym or abbreviation may be selected by applying to the medical report a statistical acronym/abbreviation expansion model trained on a corpus of medical reports. By applying to the medical report with the expanded acronym or abbreviation one or more statistical fact extraction models, a clinical fact may be extracted from the medical report based at least in part on the most likely expanded form of the acronym or abbreviation in the medical report, and a corresponding medical taxonomy code may be assigned to the extracted clinical fact from the medical report.

Abstract: Methods and apparatus for communicating between virtual agents associated with users of electronic devices connected via at least one network. A first user may instruct an associated first virtual agent to invoke a communication session with a second virtual agent associated with a second user. To invoke the communication session, the first virtual agent may send an outgoing communication to the second virtual agent and the outgoing communication may instruct the second virtual agent to perform at least one action on behalf of the first user. Virtual agents associated with different users may alternatively communicate with each other in the absence of user interaction to perform a collaborative action.

Abstract: A method, computer program product, and computing system for processing content concerning a plurality of patients using a CAC system to define one or more billing codes concerning a social habit status of one or more patients of the plurality of patients. The one or more billing codes concerning the social habit status of the one or more patients are provided to a user for review. Feedback is received from the user concerning the accuracy of the one or more billing codes. The feedback concerning the one or more billing codes is automatically processed to define one or more confidence scores. The CAC system is trained based, at least in part, upon the one or more confidence scores.

Abstract: A method, computer program product, and computing system for proactive encounter scanning is executed on a computing device and includes obtaining encounter information of a patient encounter. The encounter information is proactively processed to determine if the encounter information is indicative of one or more medical conditions and to generate one or more result set. The one or more result sets are provided to the user.

Abstract: Techniques are provided whereby a clarification request may be generated with a clinical documentation improvement (CDI) system for resolution by a clinician, and notification of the clarification request may be transmitted to a medical coding system. At a medical coding system, notification may be received of a clarification request generated at a CDI system for resolution by a clinician. In some embodiments, the medical coding system may be a computer-assisted coding (CAC) system.

Abstract: A method, computer program product, and computing system for monitoring a plurality of encounter participants is executed on a computing device and includes obtaining encounter information of a patient encounter. The encounter information is processed to: associate at least a first portion of the encounter information with at least one known encounter participant, and associate at least a second portion of the encounter information with at least one unknown encounter participant.

Abstract: A method, computer program product, and computing system for reactive encounter scanning is executed on a computing device and includes obtaining encounter information of a patient encounter. A request is received from a user concerning a specific medical condition. In response to receiving the request, the encounter information is processed to determine if the encounter information is indicative of the specific medical condition and to generate a result set. The result set is provided to the user.

Abstract: A method, computer program product, and computer system for identifying, by a computing device, at least one language model component of a plurality of language model components in at least one application associated with automatic speech recognition (ASR) and natural language understanding (NLU) usage. A contribution bias may be received for the at least one language model component. The ASR and NLU may be aligned between the plurality of language model components based upon, at least in part, the contribution bias.

Abstract: A method, computer program product, and computing system for source separation is executed on a computing device and includes obtaining encounter information of a patient encounter, wherein the encounter information includes first audio encounter information obtained from a first encounter participant and at least a second audio encounter information obtained from at least a second encounter participant. The first audio encounter information and the at least a second audio encounter information are processed to eliminate audio interference between the first audio encounter information and the at least a second audio encounter information.

Abstract: A system and an associated method for responding to a user's voice inquiry are disclosed. The system accepts the voice inquiry and obtains personal data regarding the user. The system then identifies potential subjects of interest in the voice inquiry from media content currently provided to the user through a device which has captured the voice inquiry, media content present in or capturing the user's surroundings, or media content previously provided to the user as responses to previous voice inquiries by the user. Next, the system determines at least one subject of interest based on at least one of the personal data and the user's previous voice inquiries. The system then presents a response related to the determined subject of interest to the user's voice inquiry.

Abstract: A method, computer program product, and computing system for automating role assignment is executed on a computing device and includes obtaining encounter information of a patient encounter. The encounter information is processed to associate a first portion of the encounter information with a first encounter participant. A first role is assigned to the first encounter participant.

Abstract: A method, computer program product, and computer system for measuring, by a computing device, a plurality of Room Impulse Responses (RIRs) associated with a set of two or more microphones. At least a portion of the RIRs may be augmented. At least the portion of the RIRs may be converted to their respective Relative Transfer Function (RTF) representations. The RTF representations may be applied to training data to generate an acoustic model for automatic speech recognition.

Abstract: Techniques for training a natural language understanding (NLU) engine may include generating a first annotation of free-form text documenting a healthcare patient encounter and a link between the first annotation and a corresponding portion of the text, using the NLU engine. A second annotation of the text and a link between the second annotation and a corresponding portion of the text may be received from a human user. The first annotation and its corresponding link may be merged with the second annotation and its corresponding link. Training data may be provided to the engine in the form of the text and the merged annotations and links.

Abstract: Methods and apparatus for selectively performing speech processing in a hybrid speech processing system. The hybrid speech processing system includes at least one mobile electronic device and a network-connected server remotely located from the at least one mobile electronic device. The mobile electronic device is configured to use an embedded speech recognizer to process at least a portion of input audio to produce recognized text. A controller on the mobile electronic device determines whether to send information from the mobile electronic device to the server for speech processing. The determination of whether to send the information is based, at least in part, on an analysis of the input audio, the recognized text, or a semantic category associated with the recognized text.