Abstract: A system and method is provided for using a communications network coupling a plurality of computer systems, a database, and a at least one external data source together to facilitate communication therebetween. The plurality of computer systems is configured to extract at least one term from a medical order for the patient, identify at least one medical concept related to an extracted term, and identify at least one medical data element related to an identified medical concept. The plurality of computer system is further configured to query the database for the identified at least one medical data element, query the at least one external data source to retrieve at least one guideline for performing at least one intervention associated with the at least one medical data element, and generate a user interface that displays at least a portion of a result from the queries.

Abstract: Systems and methods for automatically transforming a user interface include a computer system, a first data store containing medical records, a second data store containing one or more data models, and a communications network operatively coupling the computer system, the first data store, and the second data store. The computer system may be configured to automatically extract a term from the medical records, identify a first medical concept related to the term, identify an intervention related to the first medical concept, identify a second medical concept related to the intervention, and transform the user interface by generating an interactive node corresponding to the second medical concept. The user interface may display a first popup in response to an input cursor being placed over the interactive node. The first popup may display detailed information generated based on the second medical concept.

Abstract: A system and method is provided for using a communications network coupling a plurality of computer systems, a database, and a at least one external data source together to facilitate communication therebetween. The plurality of computer systems is configured to extract at least one term from a medical order for the patient, identify at least one medical concept related to an extracted term, and identify at least one medical data element related to an identified medical concept. The plurality of computer system is further configured to query the database for the identified at least one medical data element, query the at least one external data source to retrieve at least one guideline for performing at least one intervention associated with the at least one medical data element, and generate a user interface that displays at least a portion of a result from the queries.

Abstract: A system and method is provided for using a communications network coupling a plurality of computer systems, a database, and a at least one external data source together to facilitate communication therebetween. The plurality of computer systems is configured to extract at least one term from a medical order for the patient, identify at least one medical concept related to an extracted term, and identify at least one medical data element related to an identified medical concept. The plurality of computer system is further configured to query the database for the identified at least one medical data element, query the at least one external data source to retrieve at least one guideline for performing at least one intervention associated with the at least one medical data element, and generate a user interface that displays at least a portion of a result from the queries.

Abstract: A system and method is provided for using a communications network coupling a plurality of computer systems, a database, and a at least one external data source together to facilitate communication therebetween. The plurality of computer systems is configured to extract at least one term from a medical order for the patient, identify at least one medical concept related to an extracted term, and identify at least one medical data element related to an identified medical concept. The plurality of computer system is further configured to query the database for the identified at least one medical data element, query the at least one external data source to retrieve at least one guideline for performing at least one intervention associated with the at least one medical data element, and generate a user interface that displays at least a portion of a result from the queries.

Abstract: A system and method for generating a patient abstract containing data about a patient selected from the patient's medical records is presented. A medical order for a patent is analyzed and at least one term is extracted from the medical order. Based upon the extracted term, at least one medical concept related to an extracted term is identified. Then at least one medical data element related to an identified medical concept is identified. A database containing at least a portion of the patient's medical records is queried for the identified at least one medical data element, and at least a portion of a result from the query is displayed, for example, via a user interface.

Abstract: A system and method for generating a patient abstract containing data about a patient selected from the patient's medical records is presented. A medical order for a patent is analyzed and at least one term is extracted from the medical order. Based upon the extracted term, at least one medical concept related to an extracted term is identified. Then at least one medical data element related to an identified medical concept is identified. A database containing at least a portion of the patient's medical records is queried for the identified at least one medical data element, and at least a portion of a result from the query is displayed, for example, via a user interface.

Abstract: An adaptive density correction (ADC) method and system automatically compensate for pseudo-enhancement (PEH) of voxels in computed tomography (CT) data, such as in fecal-tagged CT colonography (ftCTC), so air (or another low-contrast background) and soft tissues are represented by their usual CT attenuations. ADC estimates an amount of pseudo-enhancement energy that was received by voxels that are near tagged voxels (i.e., voxels that are tagged with a high-contrast agent), based on a first distribution scheme, such as a Gaussian distribution. ADC then iteratively distributes PEH energy received by voxels to neighboring voxels, according to another distribution scheme, which may be another Gaussian function. ADC then subtracts the total amount of PEH energy at each voxel from the CT data of the voxel.

Abstract: A lumen tracking method and system automatically extracts a colon from CT image data by locating landmarks in the image data, based on known anatomic features or other predictable features. If the colon is segmented, the method and system may use the landmarks to evaluate candidate segments for inclusion in the extracted colon.

Abstract: An adaptive density mapping (ADM) method and system automatically identify interface regions between air and material tagged with contrast agents in computed tomographic (CT) image data, then map CT attenuations of voxels outside the identified interface regions, such that voxels that represent tagged material are made to represent air or another gas.

Abstract: A lumen tracking method and system automatically extracts a colon from CT image data by locating landmarks in the image data, based on known anatomic features or other predictable features. If the colon is segmented, the method and system may use the landmarks to evaluate candidate segments for inclusion in the extracted colon.

Abstract: A lumen tracking method and system automatically extracts a colon from CT image data by locating landmarks in the image data, based on known anatomic features or other predictable features. If the colon is segmented, the method and system may use the landmarks to evaluate candidate segments for inclusion in the extracted colon.

Abstract: A system for performing a virtual colonoscopy includes a system for generating digital images, a storage device for storing the digital images, a digital bowel subtraction processor coupled to receive images of a colon from the storage device and for removing the contents of the colon from the image and an automated polyp detection processor coupled to receive images of a colon from the storage device and for detecting polyps in the colon image.

Abstract: A system for performing a virtual colonoscopy includes a system for generating digital images, a storage device for storing the digital images, a digital bowel subtraction processor coupled to receive images of a colon from the storage device and for removing the contents of the colon from the image and an automated polyp detection processor coupled to receive images of a colon from the storage device and for detecting polyps in the colon image.

Abstract: A system for performing a virtual colonoscopy includes a system for generating digital images, a storage device for storing the digital images, a digital bowel subtraction processor coupled to receive images of a colon from the storage device and for removing the contents of the colon from the image and an automated polyp detection processor coupled to receive images of a colon from the storage device and for detecting polyps in the colon image.