Life science companies can avoid software validation difficulties by taking a risk-based approach to evaluate potential risks and developing a risk management plan to deal with potential problems after they have been identified.
Of the 242 medical devices recalled by the U.S. Food and Drug Administration (FDA) between 1992 and 1998 for reasons related to software failures, “192 (79 percent) were attributable to changes made to the software after its initial implementation” (http://www.fda.gov/cdrh/comp/guidance/938.html). If software solutions are not deployed and validated properly the results can be product recalls, production downtime, business closure, or—worst case scenario—risk to patients’ health. Using a risk-based approach to validate software allows life science companies to save effort, time, and money, without affecting the quality and safety of the software. Avoiding software validation pitfalls begins with evaluating potential risks and developing a plan to deal with hazards once they have been identified.
Life science industry analysts, validation experts, software solution vendors, and the FDA are all calling for the industry-wide adoption of a risk-based approach to validation. To understand why, one must first examine how the risk-based approach is defined. The “21 CFR Part 11 Electronic Records, Electronic Signatures, Scope and Applications” industry guidance recommends that software validation be focused on “a justified and documented risk assessment and a determination of the potential of the system to affect product quality and safety, and record integrity.” Based on this “justified and documented risk assessment” companies can evaluate the best approach to validating the system and determine how much testing is necessary. According to the FDA’s General Principles of Software Validation guidance, the “selection of validation activities, tasks, and work items should be commensurate with the complexity of the software design and the risk associated with the use of the software for the specified intended use.” In a 2002 FDA Subcommittee meeting presentation, Leon Lachman, Ph.D., elaborated on the subject, indicating that the FDA’s determination of adequate risk-based validation requires documentation that can provide “assurance that a specific process will consistently produce a product meeting its pre-determined specifications and quality attributes.”
The reasons for the push toward a risk-based approach to validation are practical:
If all the players in the life sciences industry stand to benefit from basing validation on risk assessment, why are so many companies resisting the shift to a risk-based approach? Some of the general challenges that may be affecting their resistance include:
In his Journal of Validation Technology article “Risk-Based Validation of Commercial Off-the-Shelf Computer Systems” (May 2005, Vol. 11, No. 3) validation expert Ludwig Huber, Ph.D., states that the ultimate purpose of a risk-based position is to “identify and control critical functions that affect product quality and data integrity.” Companies thatwould benefit from a risk-based approach are often wary of Commercial Off-the-Shelf (COTS) systems because, while such systems may have been tested and validated with hundreds of previous customers, the lack of personal experience with a software solution is too daunting and risky in a strict regulatory environment. Huber’s article clarifies this common misconception: “The risk is not dependent mainly on the system,” he says, “but more on the records created, evaluated, transmitted, or archived by the system.”
Therefore, potential buyers of software solutions that are ready “out-of-the-box” can learn from other life science firms who have had successful validation experiences with COTS systems. Huber recommends that companies not already utilizing a risk-based outlook to validation should take the following steps:
Without an official FDA model to follow, formulating and actualizing a risk management plan with this suggested degree of detail is an overwhelmingly difficult undertaking without implementing an off-the-shelf software solution to streamline the process. If you do implement a risk-based approach utilizing a COTS validation system, take care to avoid IQ/OQ/PQ validation entanglements that hinder many life science companies. Most companies allocate the bulk of their validation efforts to Operational Qualification (OQ) when their products—and subsequently, profits—would be better served if the majority of time was devoted to Performance Qualification (PQ). A proven and effective COTS software validation solution could reverse this OQ/PQ conundrum. A good out-of-the-box solution should also perform affordable validation quality testing in a “transfer” setting—within its own environment prior to deployment—to prove the system can live up to validation expectations.
In the end, companies should keep their efforts in line with FDA and industry guidances which suggest that the level of validation to be performed should be based on the risk of the records generated by the system. And, if this method is followed accordingly, the cost of overall validation can sometimes be reduced, allowing companies to better take advantage of the benefits of an electronic system sooner due to less validation work and faster system implementation.
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