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<p>The paper describes the research support model for improving the effectiveness of the medical research data collection process and data quality. Every research project involves a data collection phase, during which different organisation, legal and technology factors are involved, including various procedures (questionnaire design, annotation, database design, data entry, data validation, discrepancy management, medical coding and data mining). The key task of clinical data management is to obtain high-quality data, which can be achieved by minimising data input errors and timely identifying missing data. This process is often time-consuming and takes up a significant part of the research project budget in both veterinary and human medicine. The aim of this study is to elaborate the research support model for the creation of a data collection automation software tool, which will allow one to ensure better data quality, shorten the time for data collection and minimise human work volume and respective human resource expenses, making research projects more effective in terms of their timing and budget. Research work included analysis of the current situation, its shortcomings, typical research project budget distribution and existing automated electronic data collection tools (EDC). Research was carried out in partnership with the Institute of Clinical and Preventive Medicine of the University of Latvia.</p>
</abstract>

The paper describes the research support model for improving the effectiveness of the medical research data collection process and data quality. Every research project involves a data collection phase, during which different organisation, legal and technology factors are involved, including various procedures (questionnaire design, annotation, database design, data entry, data validation, discrepancy management, medical coding and data mining). The key task of clinical data management is to obtain high-quality data, which can be achieved by minimising data input errors and timely identifying missing data. This process is often time-consuming and takes up a significant part of the research project budget in both veterinary and human medicine. The aim of this study is to elaborate the research support model for the creation of a data collection automation software tool, which will allow one to ensure better data quality, shorten the time for data collection and minimise human work volume and respective human resource expenses, making research projects more effective in terms of their timing and budget. Research work included analysis of the current situation, its shortcomings, typical research project budget distribution and existing automated electronic data collection tools (EDC). Research was carried out in partnership with the Institute of Clinical and Preventive Medicine of the University of Latvia.

Research Support Model for Improving the Effectiveness of Medical Study Data Collection

Rural Sustainability Research

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

The paper describes the research support model for improving the effectiveness of the medical research data collection process and data quality. Every research...

Research Support Model for Improving the Effectiveness of Medical Study Data Collection

Online veröffentlicht: 13. Okt. 2022

Seitenbereich: 76 - 86

Eingereicht: 01. Juni 2022

Akzeptiert: 04. Juli 2022

DOI: https://doi.org/10.2478/plua-2022-0009

Schlüsselwörter
codebook, medical research support model, electronic research data collection

© 2022 Signe Balina et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Research Support Model for Improving the Effectiveness of Medical Study Data Collection

Online veröffentlicht: 13. Okt. 2022

Seitenbereich: 76 - 86

Eingereicht: 01. Juni 2022

Akzeptiert: 04. Juli 2022

DOI: https://doi.org/10.2478/plua-2022-0009

Schlüsselwörtercodebook, medical research support model, electronic research data collection

© 2022 Signe Balina et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
codebook, medical research support model, electronic research data collection