Quality is critical in any organization. Within the life sciences industry, where low quality can result in dire consequences for patients, a high level of quality is non-negotiable. Technology advancements like AI-powered electronic quality management systems (eQMS) are making quality more intuitive and enabling a predictive and proactive approach to quality management.
Manual or paper-based processes are error-prone and inefficient; however, many organizations still rely on managing quality this way.
In fact, almost a quarter of companies surveyed by LNS Research indicated they still use paper as part of their quality processes.
Doing so introduces certain challenges, including:
1. Analysis Paralysis
These days, data makes the world go round. There’s a whopping 79 zettabytes of data generated across the world—a number which is expected to double by 2025.
What’s more, 30% of the data volume worldwide is generated by the healthcare industry.
Without a vehicle to drive this data and make sense of it, organizations can suffer from what’s known as analysis paralysis.
Analysis paralysis occurs when we over-analyze data to try to find meaning in it.
To truly take advantage of the wealth of data that is at your fingertips, you need a digital solution that can provide insights to help you make meaningful connections with this data.
In other words, to make it make sense. This is where the AI-powered eQMS comes in.
This solution scans the vast amounts of data flowing into your organization to identify trends and correlations and provide you with actionable insights.
The result? AI is changing the life sciences industry by improving the efficiency and success rate of clinical trials, conducting predictive maintenance on medical equipment, and reducing the time and cost of drug development.
2. Reactive Quality Management
The objective of quality management, as defined by the National Library of Medicine (NCBI), is to “ensure that a particular product, service, or organization will consistently fulfill its intended purpose.”
Technology advancements can help ensure that only the safest products consistently make it to market.
When organizations take a reactive approach to quality, they’re often left with damage control when an adverse event occurs. Unfortunately, managing quality with old-fashioned solutions is prone to this approach.
By leveraging technology advancements like machine learning, life sciences organizations can benefit from predictive AI, which uses historical data to anticipate future occurrences so you can take action, stopping adverse events before they’ve occurred. Additionally, an eQMS with generative AI capabilities enables organizations to generate new content from existing data to provide ongoing AI insights.
These capabilities result in a proactive approach to quality management.
This means you can catch potential events before they occur and consistently fulfill your intended purpose–to ensure patients receive only the highest-quality products.
3. Lack of Visibility
Organizations that rely on manual, paper, or patchwork systems often find themselves operating in a silo. This is due to disconnected systems or processes that limit visibility of the overall quality process.
Anyone who has found themselves chasing down approvals via email or in person knows how time-consuming this process can be. The eQMS automates the document management process to allow for more seamless review and approval process, saving time and effort so you can focus on other critical operational needs.
The eQMS consolidates all data across the organization into a single platform, resulting in a high level of visibility and improving collaboration not just internally, but externally as well.
The eQMS can extend this visibility to your supplier network so you can manage and track all supplier interactions and performance to improve the way you collaborate with your third-party stakeholders.
Take Control of Your Data with an AI-Powered eQMS
The eQMS is transforming the way organizations manage quality. Thanks to the prevalence of AI, today’s approach to quality is predictive and proactive, providing access to the insights needed to make critical decisions.
Life sciences organizations that embrace today’s digital quality solutions will be in a better position to get innovative life-saving devices to market faster—without sacrificing quality or safety.
We’d like to invite you to see the power of an AI-enabled eQMS firsthand. Request a demo today.
