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WHO WE ARE
The eClinical Forum is a global network of peers. It provides a non‐competitive environment for innovation, learning and collaboration in clinical research.
Version 2022.1JP1 (10-May-2022)
Japanese translation of eSRA Handbook and Assessment Questionnaire (eSRA日本語訳)
Version 2022.2 (25-May-2022; only the license agreement for those re-using in another form has been updated)
This is the ONE FILE that you need to perform an eSRA Assessment.
How to assess site's systems for appropriateness of collecting data for regulated clinical research. (Version 2022)
Step-by-step with screen shots
This is a categorised list of questions sent in from eSRA users (sites, sponsors, CROs) with the response from the eClinical Forum eSRA Team. We will update it periodically. Please send questions to eSRA@eClinicalForum.org
Medical Informatics (Japan Society for Medical Informatics) article on use of eSRA to assess the requirements of the Japan MHLW's "Guideline on security management for medical information systems."
This webinar recording provides the same content as was presented to the FDA CDER Health IT Board on 6-April-2021
This is the 2021JP1 version.
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eCF Webinar: Assessing e-Investigator Site Files for compliance with regulatory expectations (eCF eISFQ)
The intention of this webinar is to introduce you to the newest eCF Site Assessment -- the draft eInvestigator Site File Questionnaire (eISFQ). Each question in the eISFQ is based on regulatory authority document statements. It is intended for sites to self-assess their eISF such that sponsors can determine if it is suitable to use for their regulated clinical trials. The eCF eISFQ Team intends to start a pilot with the the eISFQ in late 1Q '23. We would like to present this information to our members to get your feedback and to inspire interest in participating in the pilot.
eCF Webinar: Artificial intelligence can improve patients’ experience in decentralized clinical trials
The clinical trial industry is undergoing a rapid transition toward decentralization, where some or all health assessments are performed remotely in participants’ homes instead of in medical centers. Adopting artificial intelligence in this setting can empower more patients to enroll in trials, successfully complete them without burden, and submit high-fidelity assessments of their health. In this talk, the presenters will discuss insights from their recent article in Nature Medicine on this topic. The article can be viewed at: Artificial intelligence can improve patients’ experience in decentralized clinical trials | Nature Medicine