Medtech Clinical Teams Focus on Data Quality and Site Collaboration for Streamlined Trials

Streamlining Clinical Trials in Medtech: A Data-Driven Approach

In recent findings from the 2025 Veeva MedTech Clinical Benchmark, it has been highlighted that clinical teams in the medtech industry are increasingly focused on enhancing collaboration with research sites and improving data quality. The report suggests that nearly 70% of participants prioritize reducing manual processes as a critical step towards achieving efficient trial operations.

Key Findings from the Veeva Benchmark

The survey conducted among over 100 clinical professionals from medical device and diagnostics sectors indicates a pressing need to streamline workflows. Here are some critical insights from the research:

1. Reduction of Manual Processes: Approximately 68% of respondents indicated that minimizing manual processes is a key focus. The objective is to drive efficiency in trial operations and enhance data quality.
2. Challenges in Site Management: Major hurdles for medtech companies include on-time data entry, document and data exchange, and compliance with monitoring standards. The benchmarking shows a significant gap, as only 14% of larger medtech companies utilize site collaboration tools.
3. Increased Operational Risks: Relying on manual processes (32% of respondents cited this as a concern) and facing challenges related to global trial regulations were highlighted as the top obstacles affecting clinical operations. These could lead to increased costs and delays in trial timelines.

Optimizing Clinical Trial Practices

Refining processes within clinical trials is paramount. The study showed that 58% of medtech firms plan to improve data preparation and cleaning over the coming year. This strategy aims to cut down on time spent reconciling data, allowing teams to invest their efforts in more valuable trial activities.

Efforts to prioritize data quality and site collaboration suggest a significant shift in the medtech landscape. The use of technology to streamline these operations can significantly speed up the processes involved in bringing medical devices from development to market.

The Role of AI and Machine Learning

As part of ongoing evolution, a large proportion (72%) of organizations in the medtech field are laying plans to invest in AI and machine learning infrastructures. These technologies are seen as pivotal to harmonizing existing systems and standardizing data, making it more compatible with advanced analytics and automated processes.

Kevin Liang, Vice President of Clinical Strategy at Veeva MedTech, points out, “The medtech industry is driving initiatives to advance clinical processes, site collaboration, and data quality amidst economic pressures and new regulations.” Such efforts are essential for enhanced operational efficiency and integrity in clinical trials.

Conclusion

The results of this benchmarking study underscore the necessity for medtech companies to shift towards a more collaborative and technology-oriented approach in their clinical trial operations. As companies focus on data quality and efficient site collaboration, they are poised to significantly improve timelines for bringing new technologies to patients. Such strategic planning is crucial for the ongoing success and evolution of the medtech industry.

For detailed insights and comprehensive data, the full Veeva MedTech Clinical Benchmark report is available for review.