International Business Machines Corporation

Pearson Education, Inc.

Other

Pearson Eduction, Inc.

Richard D Hennessy

Robert R Friedlander

James R Kraemer

William J Baer

Janet L Murray

I-Ming Kao

Robert C Hartman, Jr

Jerry Duaine Robertson, Iii

Eugene Johnson, Jr

Richard W Walkus

Edward Hanapole

Robert Lee Angell

Anwer Mujahid Khan

William Philip Shaouy

James A Barker

David Charles Martin

Thomas L Hanks

Richard D Dettinger

Jeffrey Thomas Kreulen

James J Rhodes

James William Cooper

Tapas Kanungo

Stephen Kane Boyer

Joanna Lynn Fueyo

John Baxter Rollins

W Scott Spangler

Julian I Kamil

Herschel J R Weintraub

Tony H Chow

Daniel J Byrne

Edward J Macko

Mark W Byrne

Donna DeCesare

Daniel Joseph Gatins

Gerald McLoughlin

A computer implemented method modifies a unit of medical equipment based on never-event cohorts, where a never-event is a preventable error experienced by a patient while receiving medical care. One or more processors process patient care data to form digital patient care data. The processor(s) analyze the digital patient care data using cohort criteria to identify a set of never-event attributes from the set of patient care patterns. The processor(s) receive, from a set of sensors, facility event data that describe an electrical fault in a unit of medical equipment used on patients in the patient care facility in order to modify the digital patient care data, and then modify the unit of medical equipment in order to correct the electrical fault based on the modified digital patient care data.

Controlling equipment in a patient care facility based on never-event cohorts from patient care data

A processor-implemented method, computer program product, and/or computer system predicts a future event. A first bit array, which describes characteristics of a single entity while experiencing a first event, is generated using values received from a set of physical test devices. After the first single entity experiences a different second event, a second bit array is generated from another set of physical test devices. The second bit array describes characteristics of an event cohort, which is made up of entities, other than the single entity, which also experience the second event, but which never experienced the first event. When another single entity experiences the first event, a determination is made as to whether that other single entity has characteristics from both the first bit array and the second bit array. If so, a prediction is made that the other single entity will also experience the second event.

Cohort-based prediction of a future event

A system and method for processing a document to generate a set of related documents. A system is provided that includes a textual analytics system that analyzes unstructured data contained in a source document and extracts a set of structured information about the source document; and a compare system that identifies a set of related documents by comparing the set of structured information with metadata indexed from a set of publications.

System and method for using text analytics to identify a set of related documents from a source document

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.

Ensuring small cell privacy at a database level

A computer-implemented method, system and/or computer program product manages data in a webpage. A processor receives an input to an input box located in a first webpage on a first network. This input is analyzed to determine whether there is match between a subject topic of the entered data and a first interest window on the first webpage, where the first interest window is reserved for data entries that are described by the subject topic. In response to a processor being unable to determine the subject topic of the entered data in the text entry box, the processor creates a new interest window in the first webpage.

Management of data on related websites

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

A processor-implemented method, system, and/or computer program product directs a user using a physiological sensor to a needed medical resource. A real-time state of a medical condition of a user is determined based on readings from a physiological sensor on a user. A processing system correlates the real-time state of the medical condition of the user to a medical resource, which has been predetermined to have a capability of ameliorating the real-time state of the medical condition of the user. Directions are then sent, to the user, for a temporally nearest medical resource that has been predetermined to have the capability of ameliorating the real-time state of the medical condition of the user.

Directing a user to a medical resource

A computer hardware-implemented method, system, and/or computer program product matches a current patient to a specific patient readmission cohort. The specific patient readmission cohort, made up of patients having a shared attribute, has a historical likelihood of hospital readmission within a predefined post-discharge length of time for members of the specific patient readmission cohort. A database describing a current patient is selected, based on the cost and speed of accessing that database, as well as the probability that the database describes a similar attribute for the current patient as the shared attribute in the specific patient readmission cohort. If the current patient meets the requisite criteria for entry into the specific patient readmission cohort, then a recommendation designed to reduce a likelihood of hospital readmission of the current patient is generated.

Patient cohort matching

A rules engine assigns a set of appropriateness rules to a particular data collection. The set of appropriateness rules describes an optimum usage for the particular data collection based on a source of the particular data collection and a type of activity that is deemed best suited to utilize the particular data collection. The set of appropriateness rules also requires that a data collection requester's role matches a data collection provider's role. In response to determining that a requesting computer is implementing an activity that matches the set of appropriateness rules, a rules engine directs a database controller to transmit the particular data collection to the requesting computer.

Managing database inquiries

A processor-implemented method, system, and/or computer program product protects sensitive data in a received transmission. A network interface receives a data transmission, which includes multiple units of data. Any sensitive data in the received data transmission is identified by the recipient according to a pre-determined rule. Identified sensitive data from the data transmission is then encrypted.

Protecting sensitive data in a transmission

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.

A computer-implemented method, system, and/or computer program product creates a physical information environment for a specific industry type. A candidate industry type, which has specific information environment requirements, is selected to describe a customer's operations. A set of information environment components that is specific to the candidate industry type is selected. Inherent constraints, for the set of information environment components, are identified. A processor recursively optimizes the set of information environment components to create a set of optimized information environment components that meet the inherent constraints and key performance indicators (KPIs) of the candidate industry type. A hierarchy of KPIs for the candidate industry type is defined. The processor predicts access patterns to the optimized information environment components based on the hierarchy of KPIs. A physical information environment that comprises the set of optimized information environment components is then constructed and deployed.

Automated derivation, design and execution of industry-specific information environment

A computer implemented method, system, and/or computer program product optimizes systems usage. A work request is decomposed into units of work. A processor selectively sends each unit of work from the work request to either a first system or a second system for execution, depending on a work constraint on each unit of work and/or system constraints on the first and second systems.

Use of constraint-based linear programming to optimize hardware system usage

A computer implemented method 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.

Deriving a hierarchical event based database optimized for pharmaceutical analysis

A computer-implemented method, system and program product for creating a physical information environment for a specific industry type are presented. A candidate industry type is selected to describe a customer's operations. A set of information environment components, which is modeled and simulated in software and is specific for the candidate industry type, is selected. Inherent constraints, from the candidate industry type and the set of information environment components, are identified. The set of information environment components are then recursively optimized in order to comply with the inherent constraints and to meet the specific information environment requirements. Based on optimized information environment components, construction of a information environment is simulated in order to define an architecture of a simulated information environment for the candidate industry type. A physical information environment that comports with the architecture of the optimally simulated information environment is then constructed and deployed.

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York, ME, United States of America

Richard D Hennessy