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[Total quality management of clinical database].
Suguru Okubo1, Hiroaki Miyata, Ai Tomotaki
1Department of Healthcare Quality Assessment, The University of Tokyo, Tokyo, Japan.
Kyobu Geka. the Japanese Journal of Thoracic Surgery
|August 7, 2013
Summary
Developing accurate clinical databases requires focusing on utility, accuracy, and propriety. Key strategies include error-proofing systems, user testing, participant guidance, and incentives for reliable data entry.
Area of Science:
- Clinical Informatics
- Data Management
- Health Data Science
Context:
- Effective clinical databases are crucial for research and patient care.
- Ensuring data integrity is paramount for reliable health outcomes.
- Current data entry systems face challenges in maintaining accuracy and usability.
Purpose:
- To outline essential considerations for constructing robust clinical data entry systems.
- To present methods for enhancing the utility and accuracy of clinical databases.
- To address the ethical and practical aspects of managing health information.
Summary:
- System development should incorporate 'error proofing' and real-user testing.
- Participant guidance and incentives are vital for accurate data entry.
- Propriety involves patient consent, transparent communication, data confidentiality, and anonymization.
Impact:
- Improved data quality enhances the reliability of clinical research findings.
- Ethical data handling fosters patient trust and societal benefit.
- Effective database management maximizes the value of health information for improved healthcare.
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