%0 Journal Article %1 noauthororeditor %A Shirisha, Md. Wasioullah | Yathara %D 2024 %J INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT %K AI Adaptive Algorithms Anomaly Artificial Case Clinical Data Design, Detection, Dynamic Electronic Form, Improvement, Intelligence, Management, Quality Report Trials, Validation, eCRF, intelligenttechnology %N 2 %P 18-22 %T Intelligent eCRF Design Improving Data Quality with AI %U https://www.ijtsrd.com/pharmacy/other/64553/intelligent-ecrf-design-improving-data-quality-with-ai/md-wasioullah %V 8 %X Intelligent Electronic Case Report Form eCRF design, empowered by Artificial Intelligence AI , marks a significant advancement in the realm of clinical data management. This innovative approach aims to enhance data quality by leveraging AI algorithms for dynamic validation, anomaly detection, and adaptive design. This abstract explores the transformative impact of intelligent eCRF design on data accuracy and reliability in clinical trials. The integration of AI ensures real time error detection, facilitates adaptive modifications, and ultimately contributes to streamlined and efficient data collection processes. Md. Wasioullah | Yathara Shirisha "Intelligent eCRF Design: Improving Data Quality with AI" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-2 , April 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64553.pdf Paper Url: https://www.ijtsrd.com/pharmacy/other/64553/intelligent-ecrf-design-improving-data-quality-with-ai/md-wasioullah

@article{noauthororeditor, abstract = {Intelligent Electronic Case Report Form eCRF design, empowered by Artificial Intelligence AI , marks a significant advancement in the realm of clinical data management. This innovative approach aims to enhance data quality by leveraging AI algorithms for dynamic validation, anomaly detection, and adaptive design. This abstract explores the transformative impact of intelligent eCRF design on data accuracy and reliability in clinical trials. The integration of AI ensures real time error detection, facilitates adaptive modifications, and ultimately contributes to streamlined and efficient data collection processes. Md. Wasioullah | Yathara Shirisha "Intelligent eCRF Design: Improving Data Quality with AI" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-2 , April 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64553.pdf Paper Url: https://www.ijtsrd.com/pharmacy/other/64553/intelligent-ecrf-design-improving-data-quality-with-ai/md-wasioullah }, added-at = {2024-07-15T10:55:01.000+0200}, author = {Shirisha, Md. Wasioullah | Yathara}, biburl = {https://www.bibsonomy.org/bibtex/272ea963f2e3ec3101d73005346777c38/ijtsrd}, interhash = {c7525d14623063c5f0cc168974b2c714}, intrahash = {72ea963f2e3ec3101d73005346777c38}, issn = {2456-6470}, journal = {INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT}, keywords = {AI Adaptive Algorithms Anomaly Artificial Case Clinical Data Design, Detection, Dynamic Electronic Form, Improvement, Intelligence, Management, Quality Report Trials, Validation, eCRF, intelligenttechnology}, language = {English}, month = apr, number = 2, pages = {18-22}, timestamp = {2024-07-15T10:55:01.000+0200}, title = {Intelligent eCRF Design Improving Data Quality with AI }, url = {https://www.ijtsrd.com/pharmacy/other/64553/intelligent-ecrf-design-improving-data-quality-with-ai/md-wasioullah}, volume = 8, year = 2024 }