Adlib's document process automation helps you expertly navigate the complex regulatory landscape to achieve faster product approvals.
Adlib simplifies the process of gathering a wide range of regulatory documents essential for submission. These include clinical study reports, product quality reviews and safety data. You benefit from a comprehensive compilation in accordance with International Council for Harmonisation (ICH) guidelines and this methodical collection is foundational for a well-prepared submission.
Our platform transforms diverse regulatory documents into the standardized electronic Common Technical Document (eCTD) format, adhering to the specific ICH M4 guidelines. This standardization is crucial in ensuring that submissions are compliant, organized, and formatted in a way that facilitates efficient review and approval by health authorities, allowing you to accelerate time to market for pharmaceutical products.
By employing intelligent data extraction techniques, Adlib strategically identifies and captures crucial data points from within the vast array of regulatory documentation. This simplifies the submission preparation, ensuring all relevant data is accurately presented and easily accessible, thereby streamlining the review process and supporting faster regulatory decisions.
The platform meticulously assembles submission documents in the exact eCTD structure required by regulatory authorities. That means that every component is correctly organized, formatted, and ready for review, which is vital for a successful submission as it minimizes the risk of queries or rejections due to formatting or organizational errors.
A thorough compliance check of all regulatory documents against the eCTD submission standards and ICH guidelines is crucial in reducing the risk of submission refusals or delays caused by non-compliance. This ensures that every part of the submission is in full alignment with regulatory expectations and significantly increasing your likelihood of approval.
Adlib enables the efficient delivery of eCTD submissions to health authorities, optimizing the process for smoother review and faster approval. This not only ensures faster market access for pharmaceutical products, but also supports the management of submissions for amendments or changes to existing licenses, maintaining compliance and facilitating ongoing market presence.
Adlib works across your entire organization’s disparate data sources to read and distill all your critical documentation, from any source. It then automatically converts it all into machine-readable and compliant documents of record, and finally, deposits those standardized documents into a central database in submission- and archive-ready formats.
Use these expert insights in your evaluation of document rendering platforms to uncover the complexities of document conversion and determine the key capabilities your ultimate choice must have.
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Adlib Software helps organizations meet compliance and governance requirements by implementing a set of business rules upon ingesting documents across several formats to deliver a “document of record”. These business rules define the creation of a custom header-footer, watermarks and the auto-generation of a table of contents, besides combining multiple formats into a single readable-searchable PDF. The result is an audit ready document that meets compliance and governance requirements. In addition, Adlib Software’s Transform Platform also implements document security and archival features when rendering documents of record to be in compliance with such policies resident within an organization. Finally, it also provides audit trails and reporting capabilities to help organizations track and monitor document activity.
Adlib Software is ideal for industries that generate large volumes of unstructured data that has to be managed to mitigate compliance, operational, audit and regulatory risks. Major industries use that to leverage our capabilities are as follows:
In addition, Adlib Software is also useful for any organization that needs to manage and analyze large amounts of data in various formats.