Semi-automated Database Design by the End-user

d'Hollosy, Wendy Oude Nijeweme; Walrave, M. H. F.; Hendriks, Boyd; Debruyne, F.M.J.; Wijkstra, Hessel

doi:10.1055/s-0038-1634605

Cited by 5 publications

(5 citation statements)

References 10 publications

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“…They do not, for instance, allow the researcher to access their databases directly and analyze the extracted data. As observed earlier in [1][2][3], such flexibility is extremely important in institutions where clinical research is of major importance. ArchiMed was designed to provide this support at Vienna General Hospital, the largest university hospital in Europe.…”

Section: Introductionmentioning

confidence: 92%

“…All patient data are stored in the same database, which means that a common data model can be employed for every clinical study. Data extraction can be based on generic mechanisms, avoiding complicated and time-consuming adaptations to varying data models [1]. All data are held in one system, rather than in numerous incompatible systems, greatly improving both the speed and the accuracy of retrieval.…”

Section: Introductionmentioning

confidence: 99%

“…"Semi-automated database design by the end-user" was proposed by d'Hollosy [1]. The URIS system was developed in response to demands similar to those that led to WAMASTAT.…”

Section: Introductionmentioning

confidence: 99%

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ArchiMed: A Medical Information and Retrieval System

Dorda¹,

Wrba²,

Duftschmid³

et al. 1999

Methods Inf Med

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Abstract:ArchiMed is a highly flexible medical data storage and retrieval system which adds sophisticated clinical research support to a standard hospital information system (HIS).Currently, the HIS of Vienna General Hospital-University Hospital (2000 beds) stores the clinical data of over 2 million patients. While this system supports patient care (e.g., ADT, clinical chemistry, diagnosis, procedures), it has no features to facilitate research, such as the management of clinical studies.ArchiMed is designed to support clinical research. It includes an independent database, which mirrors virtually all the information held in the HIS while also allowing new data to be collected independently and to be added to the database. Flexible retrieval and analysis of data contained in the database are then possible. Thus, existing patient data can be smoothly incorporated into a study together with data collected specifically for research purposes. The system has already been successfully installed in the departments of surgery and soon in other departments as well.

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Section: Introductionmentioning

confidence: 92%

Section: Introductionmentioning

confidence: 99%

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ArchiMed: A Medical Information and Retrieval System

Dorda¹,

Wrba²,

Duftschmid³

et al. 1999

Methods Inf Med

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“…Lately, the Internet is being seen as an opportunity to develop more efficient CTIS [71] but concerns about privacy, confidentiality and data security are more acute with systems based on Internet technology. While no study has yet specifically addressed this issue, some authors have searched for security breaches during the period their systems were in production, and no signs of access violations were detected [5,39,54,64]. One relevant development in this domain is represented by the recent caGRID initiative from the NCI, where a technology based on the concept of data grids is being applied to the creation of a cancer research informatics infrastructure that will support data exchange and interoperability among heterogeneous applications.…”

Section: Software Architecturementioning

confidence: 99%

“…Database design issues, discussed by papers of Nadkarni et al[32,37,38], d'Hollosi et al[39], have concentrated on designs that allow investigators to define and modify the structure of a data-entry system for research data without the need for programming. Nadkarni et al described a generic framework for Web application development for research databases[38] based on entity-attribute-value (EAV) tables[32], modified and expanded to include complex objects and relationships[37] that provide richer expressiveness for clinical trial data.…”

mentioning

confidence: 99%

Design aspects of a distributed clinical trials information system

Oliveira¹,

Salgado

2006

Clinical Trials

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Backgound Clinical trials informatics has evolved through the development of multiple applications addressing distinct parts of the clinical trials cycle. This setting creates difficulties in the transport and sharing of data among applications that serve a common functionality. Purpose We present an alternative approach for the design of clinical trials information systems consisting of loosely coupled components standing on a comprehensive model of the global clinical trial process. Methods We describe how such a structure is able to support the development and implementation of complex knowledge-driven modules, such as automated database query systems, reporting systems and intelligent data-analysis tools, and how currently available internet technologies may be used to support the independent development of applications and collaboration between researchers. Results These principles were applied to the development of a fully functional system that has been in production for eight years in a diversity of pharmaceutical and academic drug trials. Marked time savings in database set-up and statistical reporting have been documented, as well as good reliability in the selection of appropriate statistical methods to clinical trial data analysis. Conclusions In order to meet the expected functionality and to avoid the proliferation of databases and software applications, clinical trials information systems need to be based on a generic model of clinical trials and on a distributed architecture.

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