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Improving Efficiency and Effectiveness with AI-Enhanced Compliance Training

Marc Gracieux, Product Manager, Learning Solutions

Learning Management

Friday, March 8, 2024 | 9:28 AM

tha training joint

Artificial intelligence (AI) and machine learning seem to be hot topics today, as many industries try to implement AI into their workflows in novel ways. However, not everyone has been able to apply AI in a way that results in a tangible impact to workflows. Take training technology for example; many Learning Management Systems (LMS) struggle to effectively leverage Artificial Intelligence for substantial business impact. Often, these systems focus on surface-level features like automated course generation or AI-assisted eLearning content creation, which, while innovative, may not adequately address the critical needs of training and compliance in high-stakes fields like clinical trials. 

The clinical trials sector, driven by stringent regulatory standards and an increasing focus on training compliance, presents a unique challenge. With recent GCP inspections highlighting incomplete training as a top issue, there's a pressing need for LMS platforms to utilize AI in ways that meaningfully enhance compliance and training efficacy.  

LMS providers need to respond to this challenge by deploying AI in strategically impactful ways, directly addressing core business outcomes in the clinical trials industry. Here are three unique ways that AI can be deployed in coordination with a learning management system to improve training outcomes:  

1. Compliance Scoring 

One way that businesses can leverage AI to improve training outcomes is by using it to create a sophisticated compliance scoring system.  Use AI to analyze factors like login frequency and engagement with content to provide a nuanced understanding of each learner's compliance status, allowing for better targeted interventions that can be more efficient than a catch-all approach. This can help organizations identify and mitigate compliance risks proactively, ensuring adherence to industry regulations. 

2. Business-Centric Adaptive Reminder System 

Building on compliance scoring, another way to leverage AI for improved training outcomes is to dynamically tailor reminders to individual learning needs. These notifications can be programmed based on the learner’s compliance score, or on an organization's priorities for compliance. This is crucial for businesses with strict regulation around training compliance, ensuring that staff training remains on schedule and reducing the risk of compliance lapses that could lead to costly regulatory penalties. 

3. Optimize Clinical Study Training with AI-powered content recommendations  

To better illustrate this use case, picture a new clinical trial that is about to begin study conduct. The study team is a diverse group and includes team members like clinical research coordinators, data managers, and safety monitors, with unique knowledge and skill sets. 

With such varied roles and responsibilities, it can sometimes be challenging to ensure that the right folks get the training most relevant to them. This can be solved by leveraging AI to provide personalized course content for these varied roles. Organizations can provide customized training experiences, based on AI- powered analysis of role responsibilities, past training history, and the needs of the upcoming trial. 

For instance, clinical research coordinators might be presented with modules emphasizing patient recruitment strategies and regulatory compliance, areas crucial to their role's success. Meanwhile, data managers find their training path steered towards modules focusing on data integrity and effective database management systems, aligning with their core responsibilities. 

This approach ensures that every member of the study team receives training that is not only relevant and role-specific but also aligned with the precise demands of the clinical trial they are about to undertake 

In summary, the integration of AI in Learning Management Systems, particularly in clinical trials, can lead to operational excellence and regulatory compliance. These applications illustrate how teams can leverage AI beyond basic functionalities to enhance training effectiveness and compliance management in the clinical research space. In this era of rapid technological advancement, as AI and ML applications are increasing by leaps and bounds, embracing intelligent solutions like these is key to maintaining a competitive edge and ensuring the highest standards of training and compliance in clinical trials. 

Interested in learning more about how Trial Interactive can improve your organization's training outcomes and boost your compliance? Get in touch today.  

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