Revolutionizing Clinical Trial Data Quality through Intelligent Query Management

Clinical trials are critical in advancing medical research, but they are also resource-intensive and complex. A key challenge in clinical trials is ensuring data quality, as poor data can compromise study validity and lead to regulatory issues. Intelligent query management, powered by advanced technologies like artificial intelligence (AI) and machine learning (ML), is transforming how clinical trial data is managed, ensuring higher accuracy, completeness, and reliability.

1. Welcome R evolutionizing Clinical Trial Data Quality through Intelligent Query Management B.Sudha Rani M . Pharmacy CSRPL_STD_IND_HYD_ONL/CLS_075/062024 8/19/2024 www.clinosol.com | follow us on social media @clinosolresearch 1

2. Index 8/19/2024 www.clinosol.com | follow us on social media @clinosolresearch 2 Introduction to Clinical trials Data Management in Clinical trials Importance of Data quality in Clinical trials Technology advancements in Clinical t rial Data Analysis Benefits of Intelligent Query Management Advantages and Limitations of Using artificial intelligence(AI) in Clinical Trials. Future Direction References Conclusion

3. Introduction to Clinical trials Clinical trials are studies performed with human subjects to test new drugs or combination of drugs, new approaches to surgery or radiotherapy or procedures to improve the diagnosis of disease and quality of life of patient. Clinical trials in nutshell : 8/19/2024 www.clinosol.com | follow us on social media @clinosolresearch 3

4. Introduction Clinical research often focuses on finding approaches for early diagnosis of disease, preventing health issues, or enhancing quality of life for those dealing with chronic diseases. An effective clinical data management (CDM) is paramount in order to establish the accuracy, reliability and integrity of research outcomes . Traditional query systems often manual and labor intensive, struggle to keep pace with increasing volume and complexity of clinical data. 8/19/2024 www.clinosol.com | follow us on social media @clinosolresearch 4

5. Data Management in Clinical trials 8/19/2024 www.clinosol.com | follow us on social media @clinosolresearch 5

6. Importance of Data quality in Clinical trials Several data quality metrics can be used to assess the quality of data in clinical trials. Some of the most important metrics include : Accuracy Completeness Consistency Timeliness Relevance Error ratio Uniqueness 8/19/2024 www.clinosol.com | follow us on social media @clinosolresearch 6

7. Technology advancements in Clinical trial Data Analysis 8/19/2024 www.clinosol.com | follow us on social media @clinosolresearch 7

8. Technology advancements in Clinical trial Data Analysis Artificial Intelligence(AI): AI excel inefficiently processing extensive datasets, detecting patterns, forecasting results, and even proposing tailored treatment strategies based on patient information.  8/19/2024 www.clinosol.com | follow us on social media @clinosolresearch 8

9. Technology advancements in Clinical trial Data Analysis Block Chain Technology: Ensures Data Security and transparency. Builds trust among Stakeholders &simplifies data sharing. Effectively used in electronic trial Masterfile(eTMF) clinical document management. Data Lakes And Cloud Computing: Facilities the storage and analysis of massive datasets. Accessible from everywhere. Enhances collaboration and data sharing among researches. Natural Language Processing ( NLP): Extract valuable insights from unstructed clinical notes, allowing researches to utilize previously untapped information. 8/19/2024 www.clinosol.com | follow us on social media @clinosolresearch 9

10. Benefits of Intelligent Query Management The Adoption of Intelligent Query Management offers numerous benefits: Improves Accuracy by automating data checks , reducing the likelihood of human error. Higher data Integrity and more reliable trial outcomes. Another major advantage is efficiency with faster query resolution times accelerating the overall trial process. Consistency of data handling and quality is obtained by standardization process . Intelligent systems are inherently scalable , making it easier to manage large volumes of data in extensive clinical trials. 8/19/2024 www.clinosol.com | follow us on social media @clinosolresearch 10

11. Advantages and Limitations of Using artificial intelligence(AI) in Clinical Trials . 8/19/2024 www.clinosol.com | follow us on social media @clinosolresearch 11

12. Future Direction The horizon of clinical trial data is brimming with excitement and harbors great potential for advancements in healthcare technology. Numerous emerging trends warrant close attention.  8/19/2024 www.clinosol.com | follow us on social media @clinosolresearch 12

13. Conclusion In conclusion intelligent query has the potential to revolutionize data quality in clinical trials. By leveraging the advanced technologies ,it addresses the limitations of traditional methods enhances the accuracy and efficiency. While challenges persist, technological advancements are transforming the landscape, making clinical trial data more accessible and valuable than ever before.   In the future, patient-centricity, AI, ML, RWE, and decentralized studies will shape the next era of clinical research, bringing closer medical miracles that can change lives and improve healthcare .  8/19/2024 www.clinosol.com | follow us on social media @ clinosolresearch 13

14. References https://www.linkedin.com/pulse/data-quality-metrics-paradigmittechnologyservices-v2ezc/   https://imagecorelab.com/the-importance-of-data-management-in-clinical-trials/   https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10720846/   https://www.clinvigilant.com/revolutionizing-electronic-data-capture-in-clinical-trials-a-game-changer-for-researchers/   https://pharmanewsintel.com/features/revolutionizing-clinical-trial-data-tracking-analysis-with-technology 8/19/2024 www.clinosol.com | follow us on social media @clinosolresearch 14

15. Thank You! www.clinosol.com (India | Canada) 9121151622/623/624 [email protected] 8/19/2024 www.clinosol.com | follow us on social media @clinosolresearch 15