Dxrx, Inc.

Athenahealth, Inc.

Hewlett-packard Development Company, L.P.

Ria Technology Management Inc.

Robert P Nix

John E Mendelson

David A G Deacon

David J Sager

Joel S Emer

Michael C Adler

Francis X McKeen

Michael Swain

Abbe Don

P Geoffrey Lowney

Nathan Wilkinson

Lauren Fitch

Alexander C Jergensen

Shayne Guiliano

Jeremy Magid

Peter Parnassa

Anne Meneghetti

Nikolay Andreev

William Clayton

David Ag Deacon

Peter Hung

Michael Yun

Patients with substance abuse problems may be prescribed regular medication that dulls the positive effects of the substance. However, one of the largest challenges for substance abuse patients is that many do not regularly take their medication as they want to experience the high of the substance. Accordingly, systems and methods have been developed for medication sessions that distract the patient from taking the medicine by incorporating the reminder and other med actions in close temporal proximity.

Systems and methods for treatment adherence in substance abuse treatment

Methods and apparatus for tracking antimicrobial resistance based on geography. An application server receives a query from a client application to provide antimicrobial resistance data for a geographic location. The application server determines a geographic region based, at least in part, on the geographic location included in the query, and antimicrobial data for samples collected from patients residing in the geographic region are retrieved from at least one health information datastore of a health information system. The retrieved antimicrobial data comprises information describing antimicrobial resistance of an infectious organism detected in the biological samples to at least one antimicrobial agent, and is transmitted to a client device on which the client application that issued the query is executing.

Methods and apparatus for geography-based antimicrobial resistance tracking

Methods and apparatus for identifying and analyzing clusters of medical billing claims in a queue to identify a shared root cause issue for the medical billing claims in the cluster. Exemplary methods and apparatus involve grouping each of the plurality of medical billing claims into clusters based on predetermined cluster patterns that include at least one attribute, validating the clusters using predetermined criteria to determine if the clusters should be analyzed, discarded, and/or marked for further analysis, collecting information about each of the medical billing claims in clusters, and determining a root cause issue for the medical billing claims in the clusters based on the collected information.

Methods and apparatus for queue-based cluster analysis

A mechanism for executing computer instructions in parallel includes a compiler for generating and grouping instructions into a plurality of sets of instructions to be executed in parallel, each set having a unique identification. A computer system having a real state and a speculative state executes the sets in parallel, the computer system executing a particular set of instructions in the speculative state if the instructions of the particular set have dependencies which can not be resolved until the instructions are actually executed. The computer system generates speculative data while executing instructions in the speculative state. Logic circuits are provided to detect any exception conditions which occur while executing the particular set in the speculative state. If the particular set is subject to an exception condition, the instructions of the set are re-executed to resolve the exception condition, and to incorporate the speculative data in the real state of the computer system.

Mechanism for executing computer instructions in parallel

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San Francisco, CA, United States of America

Robert P Nix