Abstract: A request is received for a set of entries that make up a small cell in a database, wherein the small cell is initially described at a fine granular level of detail by a set of descriptors. In response to the total number of entries in the small cell being below a predetermined limit, the set of descriptors are modified to reduce the fine granular level of detail to a coarse granular level of detail in order to protect the privacy of individuals described by the set of entries.

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: 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 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: Method, system, and program product for configuring and using a federated database and data structure management system with error prone data. 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 with provision for exception detection and error handling.

Abstract: A data retrieval method and system. The method includes transmitting, by a computing device to data source organizations in response to a request for data, a request for populating online forms. The computing device receives input data associated with the online forms. The computing device transmits notification data requesting analysis of the input data and an input form for uploading results of the analysis. The computing device receives analysis data files. The computing device transmits the analysis data files and data transformation requirements to an IT service organization. The computing device receives clarification inquiries data. The computing device transmits the clarification inquiries data to the data source organizations. The computing device receives response data from the data source organizations. The computing device receives modified analysis data files from the IT service organization.

Abstract: A computer-implemented method, system and computer program product of managing and sharing entries into a webpage are presented. The computer-implemented method receives an input to an input box located in a first webpage on a first network. This input is analyzed to determine its subject matter, and is then migrated into an appropriate subject box on the webpage. In one embodiment, the input is then shared with another webpage, for the same user, which is on a second network.

Abstract: A computer implemented method, apparatus, and computer usable program code for automatically selecting an optimal control cohort. Attributes are selected based on patient data. Treatment cohort records are clustered to form clustered treatment cohorts. Control cohort records are scored to form potential control cohort members. The optimal control cohort is selected by minimizing differences between the potential control cohort members and the clustered treatment cohorts.

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. 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 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 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.

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. 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: Methods, systems and computer program products for synthesizing diagnoses stored in healthcare databases are provided. A diagnosis query associated with a single patient or a group of patients is received. Query results are provided responsive to the diagnosis query. The query results may include diagnoses from multiple sources that are expressed in multiple standards formats.

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: The illustrative embodiments described herein provide a computer implemented method, apparatus, and computer program product for generating never-event cohorts. In response to receiving patient care data derived from a population of patients, the patient care data is processed to form digital patient care data. The digital patient care data includes metadata describing a set of patient care patterns associated with one or more patients in the population of patients. The digital patient care data is analyzed using cohort criteria to identify a set of never-event attributes from the set of patient care patterns. The cohort criteria specifies at least one never-event attribute from the set of never-event attributes for each cohort in a set of never-event cohorts. Thereafter, a set of never-event cohorts is generated.

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.