Startseite Comparative analysis of ISO 15189:2022 with earlier versions with reference to ethics
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Comparative analysis of ISO 15189:2022 with earlier versions with reference to ethics

  • Sudip K. Datta EMAIL logo , Nilda Fink , Estelle Bugni , Joe Wiencek und on behalf of the IFCC Task Force-Ethics
Veröffentlicht/Copyright: 24. September 2025
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Abstract

Objectives

The International Organisation for Standardisation (ISO) 15189 standard provides the requirements for quality and competence in medical laboratories. It aims to ensure that laboratories deliver accurate and reliable results for patient care. The first version of the same was published in 2003, followed by editions in 2007, 2012 and 2022. The objective of this article is to analyze the ethical commitments and requirements assumed to achieve reliable results in laboratory medicine incorporated in the ISO standard.

Methods

We compare the concepts and changes related to ethics introduced over time in the ISO 15189 versions. We also present, a comparative study about the evolution of ethical concepts in the clinical laboratory and how these changes have been reflected in ISO 15189 standards through 2003 to 2022.

Results

After a thorough comparative analysis, we observe that the ISO 15189:2022 version has strengthened the requirements for several key concepts of Ethics such as impartiality and confidentiality, and addressed the issues of laboratory users with regards to autonomy, beneficence and justice although these terminologies are not explicitly mentioned. However, several other key words and concepts have not been addressed with adequate emphasis.

Conclusions

We recommend that several key concepts related to ethics may need to be included in the future revisions, especially those related to new and upcoming technologies being used in laboratory diagnostics and research.


Corresponding author: Sudip K. Datta, MD, Professor and Head, Department of Laboratory Medicine, All India Institute of Medical Sciences, New Delhi, India, E-mail:

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The authors state no conflict of interest.

  6. Research funding: None declared.

  7. Data availability: Not applicable.

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Received: 2025-07-14
Accepted: 2025-09-11
Published Online: 2025-09-24

© 2025 Walter de Gruyter GmbH, Berlin/Boston

Heruntergeladen am 29.9.2025 von https://www.degruyterbrill.com/document/doi/10.1515/cclm-2025-0884/html
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