Literature DB >> 12087118

Metadata-driven ad hoc query of patient data: meeting the needs of clinical studies.

Aniruddha M Deshpande1, Cynthia Brandt, Prakash M Nadkarni.   

Abstract

Clinical study data management systems (CSDMSs) have many similarities to clinical patient record systems (CPRSs) in their focus on recording clinical parameters. Requirements for ad hoc query interfaces for both systems would therefore appear to be highly similar. However, a clinical study is concerned primarily with collective responses of groups of subjects to standardized therapeutic interventions for the same underlying clinical condition. The parameters that are recorded in CSDMSs tend to be more diverse than those required for patient management in non-research settings, because of the greater emphasis on questionnaires for which responses to each question are recorded separately. The differences between CSDMSs and CPRSs are reflected in the metadata that support the respective systems' operation, and need to be reflected in the query interfaces. The authors describe major revisions of their previously described CSDMS ad hoc query interface to meet CSDMS needs more fully, as well as its porting to a Web-based platform.

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Year:  2002        PMID: 12087118      PMCID: PMC346624          DOI: 10.1197/jamia.m1034

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  13 in total

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Journal:  J Am Med Inform Assoc       Date:  2000 Jul-Aug       Impact factor: 4.497

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4.  Data extraction and ad hoc query of an entity-attribute-value database.

Authors:  P M Nadkarni; C Brandt
Journal:  J Am Med Inform Assoc       Date:  1998 Nov-Dec       Impact factor: 4.497

5.  Data mining by clinicians.

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6.  A graphical tool for ad hoc query generation.

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7.  Managing attribute--value clinical trials data using the ACT/DB client-server database system.

Authors:  P M Nadkarni; C Brandt; S Frawley; F G Sayward; R Einbinder; D Zelterman; L Schacter; P L Miller
Journal:  J Am Med Inform Assoc       Date:  1998 Mar-Apr       Impact factor: 4.497

8.  Medical data mining: knowledge discovery in a clinical data warehouse.

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10.  CHRONOMERGE: an application for the merging and display of multiple time-stamped data streams.

Authors:  P M Nadkarni
Journal:  Comput Biomed Res       Date:  1998-12
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  7 in total

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6.  Association rule mining based study for identification of clinical parameters akin to occurrence of brain tumor.

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7.  Is OpenSDE an alternative for dedicated medical research databases? An example in coronary surgery.

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  7 in total

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