Abstract: The present invention is an OCT imaging system user interface for efficiently providing relevant image displays to the user. These displays are used during image acquisition to align patients and verify acquisition image quality. During image analysis, these displays indicate positional relationships between displayed data images, automatically display suspicious analysis, automatically display diagnostic data, simultaneously display similar data from multiple visits, improve access to archived data, and provide other improvements for efficient data presentation of relevant information.

Abstract: A medical processor computes concept associations by mining aggregated data from patient documents thereby reducing risk of PHI exposure. The processor identifies clinically relevant terms in patient documents, compute associations between pairs of clinically relevant terms using co-occurrences, and filter out random associations. A knowledge provider receives user query concepts, retrieves patient concepts, and extracts relevant apixions from an association matrix. The knowledge provider intersects relevant apixions with patient concepts, ranks and provides the results to the user.

Abstract: An OCT imaging system user interface is disclosed for efficiently providing relevant image displays to the user. These displays are used during image acquisition to align patients and verify acquisition image quality. During image analysis, these displays indicate positional relationships between displayed data images, automatically display suspicious analysis, automatically display diagnostic data, simultaneously display similar data from multiple visits, improve access to archived data, and provide other improvements for efficient data presentation of relevant information.

Abstract: A medical information navigation engine (MINE) for transacting medical information by receiving medical information from a medical sources, identifying, mapping, and consolidating the received medical information by a back-end medical processor, presenting access to specific relevant data, based on a user's security privileges, within the identified, mapped, and consolidated medical information, based on user-specific functions or roles by a front-end medical processor, and generating user-customized processed medical information to a plurality of users, with at least a portion of the user-customize processed medical information being provided to each of the plurality of users based on its relevancy to each user's specific function or role and each user's associated security privileges.

Abstract: A method of transacting medical information includes receiving medical information from a medical sources, identifying, mapping, and consolidating the received medical information by a back-end medical processor, providing access to specific relevant data, based on a user's security privileges, within the identified, mapped, and consolidated medical information, based on user-specific functions or roles by a front-end medical processor, and generating user-customized processed medical information to a plurality of users, with at least a portion of the user-customized processed medical information being provided to each of the plurality of users based on its relevancy to each user's specific function or role and each user's associated security privileges.

Abstract: A health information management system is provided which includes the ability to identify explicit referral activity reported into a referral workflow system, infer referral activity not reported into the referral workflow system utilizing intent-based clustering of medical information, and generate reporting metrics from the inferred and explicit referral activity. Additionally, a referral suggestion may be generated for an identified condition. Physicians are selected within a geographic area who are properly specialized for the condition. This group is then filtered based upon patient preferences and default preferences in order to generate physician referrals.

Abstract: The present invention is an OCT imaging system user interface for efficiently providing relevant image displays to the user. These displays are used during image acquisition to align patients and verify acquisition image quality. During image analysis, these displays indicate positional relationships between displayed data images, automatically display suspicious analysis, automatically display diagnostic data, simultaneously display similar data from multiple visits, improve access to archived data, and provide other improvements for efficient data presentation of relevant information.

Abstract: A method is disclosed to receive health information request (HIR), including health information request query (HIRQ) and health information request data (HIRD), and to metatag the received HIR. The metatagged HIR is reconciled based on a semantic concept and HIRS is returned.

Abstract: Systems and methods to generate a final event stream are provided. The system collects information from a wide variety of sources, and then parses, normalizes, and indexes the information. This generates an initial event stream that can be tagged and then iteratively processed to generate a final event stream. The processing includes first order logic querying and knowledge extraction to infer additional events which is added to the event stream. The final event stream is used by a knowledge exchange for consumption by applications. These applications may be internal applications and/or third party applications. This system may be particularly useful in use with medical information, or any other big data enterprise system.

Abstract: The present invention is an OCT imaging system user interface for efficiently providing relevant image displays to the user. These displays are used during image acquisition to align patients and verify acquisition image quality. During image analysis, these displays indicate positional relationships between displayed data images, automatically display suspicious analysis, automatically display diagnostic data, simultaneously display similar data from multiple visits, improve access to archived data, and provide other improvements for efficient data presentation of relevant information.

Abstract: A computerized Medical Information Navigation Engine (“MINE”) extracts clinical knowledge, by identifying coded elements with reimbursement potential contributing to payoff based on clinical history, and subtracting coded elements documented in an encounter from the coded elements, based on business logic. The MINE sorts the remaining coded elements in accordance with one optimization criteria to payoff based on clinical history.

Abstract: A medical information navigation engine (“MINE”) includes a medical information interface, a reconciliation engine and an intent-based presentation engine. The medical information interface receives medical information from a plurality of medical sources, which is subsequently reconciled by the reconciliation engine. The intent-based presentation engine clusters the reconciled medical information by applying at least one clustering rule to the reconciled medication information. The clustered reconciled medical information can be presented to a user.

Abstract: Systems and methods to generate a final event stream are provided. The system collects information from a wide variety of sources, and then parses, normalizes, and indexes the information. This generates an initial event stream that can be tagged and then iteratively processed to generate a final event stream. The processing includes first order logic querying and knowledge extraction to infer additional events which is added to the event stream. The final event stream is used by a knowledge exchange for consumption by applications. These applications may be internal applications and/or third party applications. This system may be particularly useful in use with medical information, or any other big data enterprise system.

Abstract: A medical information navigation engine (“MINE”) includes a medical information interface, a reconciliation engine and an intent-based presentation engine. The medical information interface receives medical information from a plurality of medical sources, which is subsequently reconciled by the reconciliation engine. The intent-based presentation engine clusters the reconciled medical information by applying at least one clustering rule to the reconciled medication information. The clustered reconciled medical information can be presented to a user.

Abstract: Systems and methods for efficient medical chart review are provided. In some embodiments, medical records are received. The admissibility of each record is then determined. Next, a condition and MEAT assessment is generated for the medical records. The condition and MEAT determination each have a corresponding confidence. A determination may be made whether human quality assurance is required. If so, the medical records may be routed to one or more coders for human review. In addition, the systems and methods may also perform an audit analysis on the records, which identifies codes which have been submitted and have insufficient evidence. Lastly, a cost metric for the patient based upon the condition and MEAT determination may be generated.

Abstract: Systems and methods to generate a final event stream are provided. The system collects information from a wide variety of sources, and then parses, normalizes, and indexes the information. This generates an initial event stream that can be tagged and then iteratively processed to generate a final event stream. The processing includes first order logic querying and knowledge extraction to infer additional events which is added to the event stream. The final event stream is used by a knowledge exchange for consumption by applications. These applications may be internal applications and/or third party applications. This system may be particularly useful in use with medical information, or any other big data enterprise system.

Abstract: A medical information navigation engine is useful in association with at least one electronic health record system. The engine decouples identifying information from clinical data from electronic health records. The clinical data includes clinical narrative having discrete data and textual data. The identifying information is stored. Additionally, the identifying information is associated with a token in the clinical data. The clinical data may then be indexed. The discrete data and the textual data in the clinical data may then be mined. Mining includes extracting at least one relevant event from the discrete data and the textual data. Next, the clinical data and identifying information may be reintegrated using the token. The event associated with the mined discrete data and textual data may then be exported. The system may also provide a validation tool for users, including clinicians, to search and view clinical data. The exported event may be used to alter treatment of a patient.

Abstract: A health information management system is provided which includes the ability to identify explicit referral activity reported into a referral workflow system, infer referral activity not reported into the referral workflow system utilizing intent-based clustering of medical information, and generate reporting metrics from the inferred and explicit referral activity. Additionally, a referral suggestion may be generated for an identified condition. Physicians are selected within a geographic area who are properly specialized for the condition. This group is then filtered based upon patient preferences and default preferences in order to generate physician referrals.

Abstract: The present invention is an OCT imaging system user interface for efficiently providing relevant image displays to the user. These displays are used during image acquisition to align patients and verify acquisition image quality. During image analysis, these displays indicate positional relationships between displayed data images, automatically display suspicious analysis, automatically display diagnostic data, simultaneously display similar data from multiple visits, improve access to archived data, and provide other improvements for efficient data presentation of relevant information.

Abstract: A method is disclosed to receive health information request (HIR), including health information request query (HIRQ) and health information request data (HIRD), and to metatag the received HIR. The metatagged HIR is reconciled based on a semantic concept and HIRS is returned.