Literature DB >> 12463814

SYNCHRONUS: a reusable software module for temporal integration.

Amar K Das1, Mark A Musen.   

Abstract

Querying time-stamped data in clinical databases is an essential step in the actuation of many decision-support rules. Since previous methods of temporal data management are not readily transferable among legacy databases, developers must create de novo querying methods that allow temporal integration of a decision-support program and existing database. In this paper, we outline four software-engineering principles that support a general, reusable approach to temporal integration. We then describe the design and implementation of SYNCHRONUS, a software module that advances our prior work on temporal querying. We show how this module satisfies the four principles for the task of temporal integration. SYNCHRONUS can help developers to overcome the software-engineering burden of temporal model heterogeneity within decision-support architectures.

Mesh:

Year:  2002        PMID: 12463814      PMCID: PMC2244421     

Source DB:  PubMed          Journal:  Proc AMIA Symp        ISSN: 1531-605X


  8 in total

1.  Temporal expressiveness in querying a time-stamp--based clinical database.

Authors:  D J Nigrin; I S Kohane
Journal:  J Am Med Inform Assoc       Date:  2000 Mar-Apr       Impact factor: 4.497

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Authors:  M G Kahn
Journal:  Med Decis Making       Date:  1991 Oct-Dec       Impact factor: 2.583

3.  TQuery: a context-sensitive temporal query language.

Authors:  M G Kahn; S Tu; L M Fagan
Journal:  Comput Biomed Res       Date:  1991-10

Review 4.  Temporal reasoning and temporal data maintenance in medicine: issues and challenges.

Authors:  C Combi; Y Shahar
Journal:  Comput Biol Med       Date:  1997-09       Impact factor: 4.589

5.  A foundational model of time for heterogeneous clinical databases.

Authors:  A K Das; M A Musen
Journal:  Proc AMIA Annu Fall Symp       Date:  1997

6.  Managing different time granularities of clinical information by an interval-based temporal data model.

Authors:  C Combi; F Pinciroli; G Pozzi
Journal:  Methods Inf Med       Date:  1995-12       Impact factor: 2.176

7.  A temporal query system for protocol-directed decision support.

Authors:  A K Das; M A Musen
Journal:  Methods Inf Med       Date:  1994-10       Impact factor: 2.176

8.  A comparison of the temporal expressiveness of three database query methods.

Authors:  A K Das; M A Musen
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1995
  8 in total
  4 in total

1.  Ontology-driven mapping of temporal data in biomedical databases.

Authors:  Preetha S Narayanan; Martin J O'Connor; Amar K Das
Journal:  AMIA Annu Symp Proc       Date:  2006

2.  An ontology-driven method for hierarchical mining of temporal patterns: application to HIV drug resistance research.

Authors:  Rashmi Raj; Martin J O'Connor; Amar K Das
Journal:  AMIA Annu Symp Proc       Date:  2007-10-11

3.  The Analytic Information Warehouse (AIW): a platform for analytics using electronic health record data.

Authors:  Andrew R Post; Tahsin Kurc; Sharath Cholleti; Jingjing Gao; Xia Lin; William Bornstein; Dedra Cantrell; David Levine; Sam Hohmann; Joel H Saltz
Journal:  J Biomed Inform       Date:  2013-02-09       Impact factor: 6.317

4.  PROTEMPA: a method for specifying and identifying temporal sequences in retrospective data for patient selection.

Authors:  Andrew R Post; James H Harrison
Journal:  J Am Med Inform Assoc       Date:  2007-06-28       Impact factor: 4.497

  4 in total

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