Abstract: A computer implemented method, apparatus, and computer usable program code for managing a chaotic event. A management location is determined for managing a chaotic event in response to receiving an indication of the chaotic event. Resources necessary for managing the chaotic event are identified. The availability of the necessary resources is determined to form available resources. The available resources are optimized based on requirements and constraints to form optimized resources. The availability and cost of the optimized resources are verified. The chaotic event is managed from the management location using the optimized resources.

Abstract: A computer implemented method for managing a condition of a patient during a chaotic event. A datum regarding a first patient is received. A first set of relationships is established. The first set of relationships comprises at least one relationship of the datum to at least one additional datum existing in a database. Based on the first set of relationships, cohorts to which the first patient belongs are established. Ones of the plurality of cohorts contain first data regarding the first patient and second data regarding a set of additional information. The set of additional information is related to the first data. The second data further regards a constraint imposed by a chaotic event. The plurality of cohorts is clustered according to at least one parameter. A cluster of cohorts is formed. Which of at least two cohorts in the cluster are closest to each other is determined.

Abstract: A computer implemented method, apparatus, and computer usable program code for managing a chaotic event. A management location is determined for managing a chaotic event in response to receiving an indication of the chaotic event. Resources necessary for managing the chaotic event are identified. The availability of the necessary resources is determined to form available resources. The available resources are optimized based on requirements and constraints to form optimized resources. The availability and cost of the optimized resources are verified. The chaotic event is managed from the management location using the optimized resources.

Abstract: A computer implemented method for generating optimized pharmaceutical treatment plans for an individual. A set of known treatments to be used by the target individual over a future period of time is generated. An actual use of the treatments in the set of known treatments by the target individual during the future period of time is substantially certain. A set of probable treatments of the target individual is received. The actual use of the treatments in the set of probable treatments by the target individual during the future period of time is uncertain. An optimized pharmaceutical treatment plan for the target individual is generated. The optimized pharmaceutical treatment plan comprises medications and durable medical goods that are likely to be used by the target individual over the future period of time optimized over a set of dimensions associated with the set of known treatments and the set of probable treatments.

Abstract: A computer-implemented method for creating optimized sub-projects for a project. Boundary conditions, input regarding output objects, and input regarding “as-is” data sources are received. The output objects are decomposed into data objects and logical processes used to create the output objects. Value clusters are determined. The data objects are organized into “to be” data structures and the “to be” which are mapped to the “as-is” data sources. Additional processes are determined for moving data from a source to a target. An affinity matrix is created based on the value clusters. Finally, an optimization operation is executed with an optimization engine to produce the optimized sub-projects. The optimization engine takes as inputs the above information.

Abstract: Method, system, and program product for configuring and using a federated database management system. The design of the metadata and queries includes the steps of first determining schema and metadata configurations of the data source servers. The next step is enumerating available resources, and enumerating security and confidentiality requirements. These are used for calculating an optimal federated database management system design based on the schema and metadata, the enumerated available resources, and the enumerated security and confidentiality requirements; and designing an optimal federated database management system.

Abstract: A computer implemented method, apparatus, and computer usable program code for determining aggregate values of health data items from heterogeneously coded databases containing heterogeneously coded medical data. The data, in heterogeneous databases, is queried using a series of semantic layers including i) cascaded asymmetric association tables and ii) semantic search. The heterogeneously coded medical data items are translated into conformal dimensions and denominator files of combinations of disease data are derived. The denominator files of combinations of disease are aggregated based on a mapping of the coded medical and demographic conditions. The data is stored in a target data repository.

Abstract: A computer implemented method, apparatus, and computer usable program code for mapping data. A rule set is received. The rule set defines a semantic conceptual mapping between a source attribute of a source datum and a target attribute of a target domain. Furthermore, the rule set is implemented using first metadata associated with the source datum. A semantic conceptual construct is created based on the rule set. The semantic conceptual construct specifies the semantic conceptual mapping and is adapted to interact with a tool for performing an extract, transform, and load process. The source datum is mapped to the target domain using the tool. The tool performs the semantic conceptual mapping using the semantic conceptual construct. A conformed datum is created by the semantic conceptual mapping. The conformed datum is stored in a target data repository.

Abstract: Exemplary illustrative embodiments provide for a computer implemented method, apparatus, and computer usable program code for mapping data. The mapping is defined by a user and maps a source datum to a target datum having a target attribute. The mapping is defined using metadata. Source specific information is omitted from the mapping and stored in a target data repository.

Abstract: A computer implemented method, apparatus, and computer usable program code for inferring a probability of a first inference absent from a database at which a query regarding the inference is received. The first inference relates to identifying a potentially violent person or group. Each datum of the database is conformed to the dimensions of the database. Each datum of the plurality of data has associated metadata and an associated key. The associated metadata includes data regarding cohorts associated with the corresponding datum, data regarding hierarchies associated with the corresponding datum, data regarding a corresponding source of the datum, and data regarding probabilities associated with integrity, reliability, and importance of each associated datum. The query is used as a frame of reference for the search. The database returns a probability of the correctness of the first inference based on the query and on the data.

Abstract: A computer implemented method, apparatus, and computer usable program code for inferring a probability of a first inference absent from a database at which a query regarding the inference is received. Each datum of the database is conformed to the dimensions of the database. Each datum of the plurality of data has associated metadata and an associated key. The associated metadata includes data regarding cohorts associated with the corresponding datum, data regarding hierarchies associated with the corresponding datum, data regarding a corresponding source of the datum, and data regarding probabilities associated with integrity, reliability, and importance of each associated datum. The query is used as a frame of reference for the search. The database returns a probability of the correctness of the first inference based on the query and on the data.

Abstract: A computer implemented method, apparatus, and computer usable program code for inferring a probability of a first inference absent from a database at which a query regarding the inference is received. Each datum of the database is conformed to the dimensions of the database. Each datum of the plurality of data has associated metadata and an associated key. The associated metadata includes data regarding cohorts associated with the corresponding datum, data regarding hierarchies associated with the corresponding datum, data regarding a corresponding source of the datum, and data regarding probabilities associated with integrity, reliability, and importance of each associated datum. The query is used as a frame of reference for the search. The database returns a probability of the correctness of the first inference based on the query and on the data.

Abstract: A computer implemented method, apparatus, and computer usable program code for inferring a probability of a first inference absent from a database at which a query regarding the inference is received. Each datum of the database is conformed to the dimensions of the database. Each datum of the plurality of data has associated metadata and an associated key. The associated metadata includes data regarding cohorts associated with the corresponding datum, data regarding hierarchies associated with the corresponding datum, data regarding a corresponding source of the datum, and data regarding probabilities associated with integrity, reliability, and importance of each associated datum. The query is used as a frame of reference for the search. The database returns a probability of the correctness of the first inference based on the query and on the data.

Abstract: A method for inferring a probability of a first inference. The inference is related to identification of a cause of an outcome in a healthcare setting. A fact, related to the query, is related to the healthcare setting. The fact further relates to a network of interactions associated with the outcome. Each datum of the database conforms to the dimensions of the database. Each datum of the plurality of data has associated metadata and an associated key. The associated metadata includes data regarding cohorts associated with the corresponding datum, data regarding hierarchies associated with the corresponding datum, data regarding a corresponding source of the datum, and data regarding probabilities associated with integrity, reliability, and importance of each associated datum. The query establishes a frame of reference for the search. The database returns a probability of the correctness of the first inference based on the query and on the data.

Abstract: A computer implemented method, apparatus, and computer usable program code for inferring a probability of a first inference absent from a database at which a query regarding the inference is received. Each datum of the database is conformed to the dimensions of the database. Each datum of the plurality of data has associated metadata and an associated key. The associated metadata includes data regarding cohorts associated with the corresponding datum, data regarding hierarchies associated with the corresponding datum, data regarding a corresponding source of the datum, and data regarding probabilities associated with integrity, reliability, and importance of each associated datum. The query is used as a frame of reference for the search. The database returns a probability of the correctness of the first inference based on the query and on the data.

Abstract: Inferring a probability of a first inference absent from a database at which a query regarding the inference is received. The query is used as a frame of reference for the search. The database returns a probability of the correctness of the first inference based on the query and on the data. An action trigger is executed responsive to at least one of a) the probability of the first inference exceeding a first pre-selected value, b) a significance of the inference exceeding a second pre-selected value, c) a rate of change in the probability of the first inference exceeding a third pre-selected value, d) an amount of change in the probability of the first inference exceeding a fourth pre-selected value, and e) combinations thereof. At least one of the probability of the first inference and the action trigger is stored in the database.

Abstract: Inferring a probability of a first inference absent from a database. Each datum of the database is conformed to the dimensions of the database. Each datum of the plurality of data has associated metadata and an associated key. The associated metadata includes data regarding cohorts associated with the corresponding datum, data regarding hierarchies associated with the corresponding datum, data regarding a corresponding source of the datum, and data regarding probabilities associated with integrity, reliability, and importance of each associated datum. The query is used as a frame of reference for the search. The database returns a probability of the correctness of the first inference based on the query and on the data. Security filtering is performed based on at least one of a significance level of the probability of the first inference, the probability itself exceeding a pre-selected value, and a security level possessed by a user.

Abstract: A computer implemented method, apparatus, and computer usable program code for inferring a probability of a first inference absent from a database at which a query regarding the inference is received. Each datum of the database is conformed to the dimensions of the database. Each datum of the plurality of data has associated metadata and an associated key. The associated metadata includes data regarding cohorts associated with the corresponding datum, data regarding hierarchies associated with the corresponding datum, data regarding a corresponding source of the datum, and data regarding probabilities associated with integrity, reliability, and importance of each associated datum. The query is used as a frame of reference for the search. The database returns a probability of the correctness of the first inference based on the query and on the data.

Abstract: A computer implemented method, apparatus, and computer usable program code for inferring a probability of a first inference absent from a database at which a query regarding the inference is received. Each datum of the database is conformed to the dimensions of the database. Each datum of the plurality of data has associated metadata and an associated key. The associated metadata includes data regarding cohorts associated with the corresponding datum, data regarding hierarchies associated with the corresponding datum, data regarding a corresponding source of the datum, and data regarding probabilities associated with integrity, reliability, and importance of each associated datum. The query is used as a frame of reference for the search. The database returns a probability of the correctness of the first inference based on the query and on the data.

Abstract: A computer implemented method, apparatus, and computer usable program code for inferring a probability of a first inference related to a chaotic event. Each datum of the database is conformed to the dimensions of the database. Each datum of the plurality of data has associated metadata and an associated key. The query is used as a frame of reference for the search. The database returns a probability of the correctness of the first inference based on the query and on the data. The probability of the first inference relates to a cause of the chaotic event, an affect of the chaotic event, an effect of the chaotic event, whether an event is related to the chaotic event, a whether an object is related to the chaotic event, and combinations thereof.