Abstract: A user interface system enables user selection of related parameters identifying an order for providing an item or service. The system employs a repository including information identifying candidate items or services for order and associated corresponding related order parameters in which an individual item or service for order is associated with multiple related order parameters. A user interface processor for, in response to user entry of order associated data, uses the repository in providing data representing a display image. The display image includes, an initial single candidate order including multiple order related parameters, order related parameter identifiers, multiple concurrently displayed columnar image areas correspondingly associated with the multiple order related parameters and individually incorporating multiple user selectable values for a respective individual order related parameter.

Abstract: A user interface system enables user selection of related parameters identifying an order for providing an item or service. The system employs a repository including information identifying candidate items or services for order and associated corresponding related order parameters in which an individual item or service for order is associated with multiple related order parameters. A user interface processor for, in response to user entry of order associated data, uses the repository in providing data representing a display image. The display image includes, an initial single candidate order including multiple order related parameters, order related parameter identifiers, multiple concurrently displayed columnar image areas correspondingly associated with the multiple order related parameters and individually incorporating multiple user selectable values for a respective individual order related parameter.

Abstract: A user interlace system enables user selection of related parameters identifying an order for providing an item or service. The system employs a repository including information identifying candidate items or services for order and associated corresponding related order parameters in which an individual item or service for order is associated with multiple related order parameters. A user interface processor for, in response to user entry of order associated data, uses the repository in providing data representing a display image. The display image includes, an initial single candidate order including multiple order related parameters, order related parameter identifiers, multiple concurrently displayed columnar image areas correspondingly associated with the multiple order related parameters and individually incorporating multiple user selectable values for a respective individual order related parameter.

Abstract: Mapping of semantics in healthcare may involve accessing first transaction data in a first database, the first transaction data corresponding to a collection of a first number of fields defined for a condition using a first semantic system to store information and calculating a first distribution of information in the first transaction data. Mapping may also involve accessing second transaction data in a second database, the second transaction data corresponding to a second semantic system different than the first semantic system and the second database comprising a second number of fields using the second semantic system to store information, and calculating a second distribution of information in the second transaction data. The distributions may then be compared and a map relating the semantic systems may be generated and used to communicate between the first and second semantic systems.

Abstract: Adaptive medical data collection for medical entities may involve triggering an analysis of electronic records in response to information input into an Electronic Medical Record (EMR) of a patient. Determining a potential condition for the patient based on the analysis. Identifying additional information indicated as relevant to the potential condition of the patient, and generating a request for the identified additional information.

Abstract: Adaptive medical data collection for medical entities may involve managing content by receiving data indicating a context, identifying at least one application or knowledge base associated with the context, designating the identified application or knowledge base as active, and accessing the active application or knowledge base to provide information at an interface point for a medical professionals and a patient.

Abstract: Adaptive medical data collection for medical entities may involve triggering an analysis of electronic records in response to information input into an Electronic Medical Record (EMR) of a patient. Determining a potential condition for the patient based on the analysis. Identifying additional information indicated as relevant to the potential condition of the patient, and generating a request for the identified additional information.

Abstract: Automatic mapping of semantics in healthcare is provided. Data sets have different semantics (e.g., Gender designated with M and F in one system and Sex designated with 1 or 2 in another system). For semantic interoperability, the semantic links between the semantic systems of different healthcare entities are created (e.g., Gender=Sex and/or 1=F and 2=M) by a processor from statistics of the data itself. The distribution of variables, values, or variables and values, with or without other information and/or logic, is used to create a map from one semantic system to another. Similar distributions of other variable and/or values are likely to be for variables and/or values with the same meaning.

Abstract: Mapping of semantics in healthcare may involve accessing first transaction data in a first database, the first transaction data corresponding to a collection of a first number of fields defined for a condition using a first semantic system to store information and calculating a first distribution of information in the first transaction data. Mapping may also involve accessing second transaction data in a second database, the second transaction data corresponding to a second semantic system different than the first semantic system and the second database comprising a second number of fields using the second semantic system to store information, and calculating a second distribution of information in the second transaction data. The distributions may then be compared and a map relating the semantic systems may be generated and used to communicate between the first and second semantic systems.

Abstract: Mapping of semantics in healthcare may involve accessing first transaction data of a first healthcare entity in a first database, the first transaction data corresponding to a collection of a first number of fields defined for a condition using a first semantic system to store information and calculating a first distribution of information in the first transaction data. Mapping may also involve accessing second transaction data of a second healthcare entity in a second database, the second transaction data corresponding to a second semantic system different than the first semantic system and the second database comprising a second number of fields using the second semantic system to store information, the second number of fields larger than the first number of fields and calculating a second distribution of information in the second transaction data. The distributions may then be compared and a map relating the semantic systems may be generated.

Abstract: Disclosed herein is a framework for facilitating virtual safety assessment. In accordance with one aspect, the framework receives image data of an environment to be assessed for safety from an agent support system. The framework sends such image data to an expert support system and receives safety assessment information from the expert support system determined based on the image data. The framework then provides a report based at least in part on such safety assessment information.

Abstract: Disclosed herein is a framework for facilitating virtual safety assessment. In accordance with one aspect, the framework receives image data of an environment to be assessed for safety from an agent support system. The framework sends such image data to an expert support system and receives safety assessment information from the expert support system determined based on the image data. The framework then provides a report based at least in part on such safety assessment information.

Abstract: Disclosed herein is a framework for facilitating virtual safety assessment. In accordance with one aspect, the framework receives image data of an environment to be assessed for safety from an agent support system. The framework sends such image data to an expert support system and receives safety assessment information from the expert support system determined based on the image data. The framework then provides a report based at least in part on such safety assessment information.

Abstract: Disclosed herein is a framework for facilitating virtual safety assessment. In accordance with one aspect, the framework receives image data of an environment to be assessed for safety from an agent support system. The framework sends such image data to an expert support system and receives safety assessment information from the expert support system determined based on the image data. The framework then provides a report based at least in part on such safety assessment information.

Abstract: A system continuously improves the sensitivity, specificity, precision, and accuracy of treatment ordering templates. A repository of information comprises multiple candidate order sets individually including multiple candidate items for order and associated corresponding related order parameters. An individual item for order is associated with multiple related order parameters. A data entry monitor monitors user selection of candidate items from a candidate order set and records candidate item usage data identifying items selected by a user for order from individual particular candidate order sets for multiple different candidate order sets.

Abstract: Mapping of semantics in healthcare may involve accessing first transaction data of a first healthcare entity in a first database, the first transaction data corresponding to a collection of a first number of fields defined for a condition using a first semantic system to store information and calculating a first distribution of information in the first transaction data. Mapping may also involve accessing second transaction data of a second healthcare entity in a second database, the second transaction data corresponding to a second semantic system different than the first semantic system and the second database comprising a second number of fields using the second semantic system to store information, the second number of fields larger than the first number of fields and calculating a second distribution of information in the second transaction data. The distributions may then be compared and a map relating the semantic systems may be generated.

Abstract: Adaptive medical data collection for medical entities may involve managing content by receiving data indicating a context, identifying at least one application or knowledge base associated with the context, designating the identified application or knowledge base as active, and accessing the active application or knowledge base to provide information at an interface point for a medical professionals and a patient.

Abstract: Managing clinical data documents may involve receiving hierarchically organized clinical document text of a plurality of different clinical documents comprised of text elements, text element qualifiers, and text element values. An analysis of the text elements, the text element qualifiers and the text element values of the received clinical documents may be performed. Clinical concepts in the received documents based on the analysis may be identified. An inventory of identified concepts may be generated. Clinical concepts may be combined to provide concept combinations, and a data structure model using the inventory and the concept combinations may be generated.

Abstract: Adaptive medical data collection for medical entities may involve triggering an analysis of electronic records in response to information input into an Electronic Medical Record (EMR) of a patient. Determining a potential condition for the patient based on the analysis. Identifying additional information indicated as relevant to the potential condition of the patient, and generating a request for the identified additional information.

Abstract: Automatic mapping of semantics in healthcare is provided. Data sets have different semantics (e.g., Gender designated with M and F in one system and Sex designated with 1 or 2 in another system). For semantic interoperability, the semantic links between the semantic systems of different healthcare entities are created (e.g., Gender=Sex and/or 1=F and 2=M) by a processor from statistics of the data itself. The distribution of variables, values, or variables and values, with or without other information and/or logic, is used to create a map from one semantic system to another. Similar distributions of other variable and/or values are likely to be for variables and/or values with the same meaning.