Publication date: April 29, 2025
The protection of personal data in clinical trials is one of the most important elements of ensuring the safety and privacy of participants in these trials. Due to the fact that clinical trials involve the processing of particularly sensitive health data, their conduct requires compliance with strict rules and the use of appropriate technical and organizational measures. Anonymization and pseudonymization is a key method for securing such data, and its proper application is important from both a legal and practical perspective.
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Publication date: April 28, 2025
Equal pay for men and women is one of the fundamental pillars of social justice and gender equality policy in the European Union. Despite many years of efforts to eliminate the pay gap, there are still significant differences in the earnings of women and men performing the same work or work of equal value. In response to these challenges, on 10 May 2023, the European Parliament and the Council of the European Union adopted Directive 2023/970, which aims to strengthen the application of the principle of equal pay through pay transparency mechanisms and more effective enforcement of the law.
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Publication date: April 28, 2025
The lawyers of KIELTYKA GLADKOWSKI KG LEGAL participated on 24 April 2025 in the meeting of the Life Science Cluster devoted to investing in life science companies from the perspective of investment funds. The case study was presented by the active investor supporting the development of innovative projects in the area of life science, specializing in investing in startups and young technology companies, especially those operating at the intersection of science, health and new technologies.
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Publication date: April 15, 2025
Monitoring employees at work is a common practice in many organizations. The tools used for such monitoring are designed to assess employee performance and time spent on individual tasks. This system has proven useful during the pandemic, when many people switched to remote work and the supervisor’s supervision was significantly reduced. However, employee control must be applied in a manner consistent with legal regulations, especially the General Data Protection Regulation (GDPR), which requires employers to protect employee privacy. There are a number of monitoring methods that can lead to serious violations of these rights if they are not used in accordance with the appropriate rules. Recently, there has been a boom in such methods for monitoring employees, such as keylogging – measuring keyboard keystrokes in a given unit of time, tracking what someone is typing on the keyboard, recording mouse movements, or the number of logins to a given system.
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Publication date: April 15, 2025
The purpose of data collection and its types.
Artificial intelligence and machine learning in medicine are areas that have gained importance in recent years. AI algorithms have been used to support clinical decision-making and image analysis. Doctors receive suggestions on the choice of therapy, drugs and the assessment of potential side effects.
In the area of medical imaging, machine learning is used to analyze computed tomography, X-rays and magnetic resonance imaging to identify pathological changes that could be missed by radiologists. Studies show that artificial intelligence algorithms achieve results comparable to, and in many cases even better than, the best diagnosticians. The effect of these actions is a reduction in the percentage of false positive diagnoses that indicate the presence of a disease, which in turn reduces unjustified anxiety among patients. Scientists from the United States have confirmed that decision-support tools can reduce the percentage of false positive diagnoses and improve drug dosing. Experts predict significant savings in the healthcare sector, provided that solutions based on artificial intelligence are consistently implemented. However, the implementation of AI in medicine raises numerous legal and ethical challenges that require special attention, especially in the context of medical data protection.
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