International Business Machines Corporation

Anwer Mujahid Khan

Robert R Friedlander

James R Kraemer

Richard D Hennessy

Tony H Chow

At least one attribute type associated with an individual in a first record of a first database and one or more similar attribute types in record(s) of other second database(s) are located. The attribute types compared. Based on the comparison, a first weighted score for the first record and another weighted score for each other records are computed. The weighted score indicates a likelihood the particular attribute type is associated with a same individual as other attribute type(s) located in other record(s) and further accounts for a time delta between measurements of the attribute types. Confidence score outputs for the records are also computed. The confidence score output of a record is based on all weighted scores of that record and indicates a likelihood that record is associated with the same individual. At least one database is updated based on at least one of the confidence score outputs.

Associating records in healthcare databases with individuals

A computer implemented method, apparatus, and computer usable program code for finding skills and resources for a chaotic event. Skills data for the chaotic event are organized. A determination is made whether the skills and the resources are available in response to a receiving an identification of the skills and the resources that are required to manage the chaotic event. The skills and the resources are optimized based on requirements and constraints, potential skills, and enabling resources to determine optimized skills and optimized resources. The availability of the optimized skills and the optimized resources are verified. The optimized skills and the optimized resources are reoptimized in response to a determination that the optimized skills and the optimized resources are unavailable.

Optimizing the selection, verification, and deployment of expert resources in a time of chaos

Systems and computer program products for relating facts stored in healthcare databases are provided. At least two fact tables stored in a healthcare database including data meeting a criteria of interest are located. An identification key is assigned to the at least two fact tables including the located data meeting the criteria of interest. The identification key provides access to a dimension table including a list of subjects associated with the at least two fact tables including the located data meeting the criteria of interest so as to allow future identification of the subjects meeting the criteria of interest.

Techniques for relating data in healthcare databases

Methods, systems and computer program products for associating healthcare records in healthcare databases with an individual are provided. One or more attribute types are located in first and second records. The one or more attribute types being associated with the individual. A weighted score is determined for the located at least one attribute type based on a comparison of the located at least one attribute type in the first record and the located at least one attribute type in the second record. The weighted score indicates a likelihood that the located at least one attribute type in the first and second records are both associated with the individual. A confidence is provided and is associated with the first and second records based on the weighted score. The confidence score indicates a likelihood that both the first and second records are associated with the individual.

Systems for associating records in healthcare database with individuals

Methods for associating healthcare records in healthcare databases with an individual are provided. One or more attribute types are located in first and second records. The one or more attribute types being associated with the individual. A weighted score is determined for the located at least one attribute type based on a comparison of the located at least one attribute type in the first record and the located at least one attribute type in the second record. The weighted score indicates a likelihood that the located at least one attribute type in the first and second records are both associated with the individual. A confidence is provided and is associated with the first and second records based on the weighted score. The confidence score indicates a likelihood that both the first and second records are associated with the individual.

Methods of organizing medical data include hierarchically relating a single type of medical or research event to medical data generated from the single type of medical or research event in a computer database environment. Organizing the data in this way enables a researcher to access medical data collected as part of a medical procedure performed on a large number of patients, but at different times. For example, the medical data may be viewed in a more hierarchical fashion, thereby enabling the researcher to further investigate potential relationships between other factors.

Methods for hierarchical organization of data associated with medical events in databases

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.

Methods, systems and computer program products for synthesizing diagnoses in healthcare databases

A method for optimally selecting a subset of decisions from a first plurality of decisions related to management of a chaotic event. The first plurality of decisions related to the chaotic event is received. A heuristic algorithm is used to eliminate a first subset of decisions. The first subset of decisions is in the first plurality of decisions. A second plurality of decisions is formed. The second plurality of decisions comprises the first plurality of decisions less the first subset of decisions. A mathematical optimization algorithm is then used to select a second subset of decisions. The second subset of decisions is within the second plurality of decisions. The mathematical optimization algorithm takes as input at least one constraint and chaotic event information. The second subset of decisions is stored.

System and method for managing a chaotic event by optimizing decision subdivisions subject to multidimensional constraints

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.

System and method for managing a chaotic event

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 &#x201c;to be&#x201d; which are mapped to the &#x201c;as-is&#x201d; 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.

System and method for optimizing project subdivision using data and requirements focuses subject to multidimensional constraints

Methods, systems and computer program products for relating facts stored in healthcare databases are provided. At least two fact tables stored in a healthcare database including data meeting a criteria of interest are located. An identification key is assigned to the at least two fact tables including the located data meeting the criteria of interest. The identification key provides access to a dimension table including a list of subjects associated with the at least two fact tables including the located data meeting the criteria of interest so as to allow future identification of the subjects meeting the criteria of interest.

Methods for relating data in healthcare databases

Method, system, and program product for managing research grants. This is done by capturing at least one grant description into a database. Next one or more of researcher capability, researcher availabilities, and research subject availabilities are entered into the database. The grant description is then text mined to identify matches between the grant descriptions and the data items. Then a gain is defined and determined for each such match. This gain is then tabulated.

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Irvine, CA, United States of America

Anwer Mujahid Khan