Literature DB >> 9357731

Can data representation and interface demands be reconciled? Approach in ORCA.

A M van Ginneken1, M de Wilde, E M van Mulligen, H Stam.   

Abstract

Research in the domain of computer-based patient records had always faced the conflicting demands of efficiency for the practicing physician and suitability of the record contents for data analysis in view of decision support, research, and quality assessment. Interface and contents pose different demands on the data model underlying the record. The challenge is to combine the most suitable model for data representation with the interface that best fits the clinical setting. ORCA (Open Record for CAre) provides a solution by making the distinction between domain dependent and domain independent data and letting domain dependence be decisive for the choice of model. Interactive definition of custom-views provides interface flexibility for domain dependent data. Views on domain independent data need not cope with the limitations of multiple table views in relational DBMSs. A standard set of single table queries can support recording of domain independent data, irrespective of the clinical setting.

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Year:  1997        PMID: 9357731      PMCID: PMC2233342     

Source DB:  PubMed          Journal:  Proc AMIA Annu Fall Symp        ISSN: 1091-8280


  20 in total

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Authors:  A M van Ginneken; H Stam; P W Moorman
Journal:  Int J Biomed Comput       Date:  1996-07

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Authors:  A M van Ginneken
Journal:  Proc AMIA Annu Fall Symp       Date:  1996

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Journal:  JAMA       Date:  1988-06-17       Impact factor: 56.272

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Authors:  D A Evans; J J Cimino; W R Hersh; S M Huff; D S Bell
Journal:  J Am Med Inform Assoc       Date:  1994 May-Jun       Impact factor: 4.497

5.  Evaluation of reporting based on descriptional knowledge.

Authors:  P W Moorman; A M van Ginneken; P D Siersema; J van der Lei; J H van Bemmel
Journal:  J Am Med Inform Assoc       Date:  1995 Nov-Dec       Impact factor: 4.497

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Journal:  Methods Inf Med       Date:  1994-12       Impact factor: 2.176

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Journal:  N Engl J Med       Date:  1984-06-21       Impact factor: 91.245

8.  Renal sarcomas of childhood.

Authors:  D P Wood; R Kay; D Norris
Journal:  Urology       Date:  1990-07       Impact factor: 2.649

9.  Improvements in data collection through physician use of a computer-based chemotherapy treatment consultant.

Authors:  D L Kent; E H Shortliffe; R W Carlson; M B Bischoff; C D Jacobs
Journal:  J Clin Oncol       Date:  1985-10       Impact factor: 44.544

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Authors:  Q E Whiting-O'Keefe; D W Simborg; W V Epstein; A Warger
Journal:  JAMA       Date:  1985-09-06       Impact factor: 56.272

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  3 in total

1.  Recognizing obesity and comorbidities in sparse data.

Authors:  Ozlem Uzuner
Journal:  J Am Med Inform Assoc       Date:  2009-04-23       Impact factor: 4.497

2.  Self-contained patient data in ORCA to cope with an evolving vocabulary.

Authors:  A M van Ginneken; P W Moorman
Journal:  Proc AMIA Symp       Date:  1998

3.  Clinical data entry.

Authors:  E M van Mulligen; H Stam; A M van Ginneken
Journal:  Proc AMIA Symp       Date:  1998
  3 in total

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