Nowadays companies have at their disposal several commercial solutions that allow them to minimize the time required in the daily work of receiving, assessing, transmitting cases and at the same time to ensure high levels of compliance with data integrity requirements.
Technological development makes available to companies not only on premises solutions but also web-based, on cloud or even multi-tenant solutions. In the latter one, a single instance of the software is provided by a supplier, it runs from a server and is used by several organizations, each one with its own environmental peculiarities that conceptually constitute a specific tenant. In addition, the advent of wearable devices and social media providing real-time data constituted new sources of information and potentially new PV obligations and thus the need to have system with advanced and up-to-date capabilities, systems that allows quickly to be adapted to changes and/or new requirements with little impact on the management processes. These systems among other should help to avoid duplicate storage, reducing the risk of non-compliance due to late submission, of unexpected serious adverse reactions to competent authorities, allowing the preparation of aggregate reports and regulatory documents that need to be prepared using data originating from the databases, without using additional tools or external applications that may high the risk of data integrity breaches.
It is therefore critical that the systems and their assets for receiving, managing and transmitting cases ensure that the entire process complies with the data integrity requirements of ALCOA+, in this regard it is important and required by regulatory standards that the systems is validated following international guidelines for a proper validation process (e.g. GAMP5). The use of cloud or multi-tenant systems has the advantage of lowering validation and management costs due to an important involvement of the supplier, which provides the service or the system. On the other hand, for multi-tenant systems for example, it is essential to have a good change control management process to deal and identify the impact on the systems and managed processes due to periodic updates the system may require and/or scheduled by the supplier.
Safety data management system may need high level of configurations (or even customization) to adhere to the customer processes. This is an important factor that need not to be underestimate during the implementation of the system but it requires a careful initial analysis, even with standard and pre-validated system provided by suppliers, to fulfil customer requirements, company policies assuring the compliance with regulatory agencies expectations, and finally minimizing the risk of deviations during the validation phase and on the on-going process.
Moreover, the use of queries and external tools widely used for data extraction and analysis are also other important aspects that may have impact on regulatory decision and data quality, which should require highly attention and validation by the Company.
In conclusion changes on Regulatory Agency expectations, the growing of the AE cases due to disease complexity, the increased regulatory scrutiny on the data integrity, the request of Company in reducing cost, new sources of information and potentially new PV obligations, need for advanced safety data analytics tools focused on risk/benefit analysis and signal management, to deal with higher number of data and in a shorter time.
All these factors are a challenge for pharmacovigilance in its daily activity of monitoring the pharmaceutical products placed on the market and the continuous interaction with the regulatory agencies in charge of control.