What are the major challenges in Clinical Data Management today?

<p dir="ltr">The major challenges in &lt;a href="https://www.shiksha.com/medicine-health-sciences/clinical-data-management-chp"&gt;Clinical Data Management&lt;/a&gt; today are:</p><ul><li dir="ltr" aria-level="1"><p dir="ltr" role="presentation">Data Volume and Complexity: Clinical trials are generating massive amounts of diverse data from various sources (e.g., wearables, labs), making it difficult to process and integrate.</p></li><li dir="ltr" aria-level="1"><p dir="ltr" role="presentation">Evolving Regulations: Staying updated with constantly changing global data privacy regulations like GDPR and HIPAA, especially in multi-country trials, is a significant challenge.</p></li><li dir="ltr" aria-level="1"><p dir="ltr" role="presentation">Technological Integration: The need to seamlessly integrate new technologies like AI and decentralized trial data into existing systems is a major hurdle.</p></li><li dir="ltr" aria-level="1"><p dir="ltr" role="presentation">Maintaining Data Quality: Human error and site variability across large, multi-site studies can lead to inconsistent and unreliable data.</p></li></ul>

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