In the rapidly evolving landscape of artificial intelligence, ensuring that generative AI systems adhere to robust standards is crucial. The National Institute of Standards and Technology (NIST), for example, has developed the Generative AI Intelligence Profile, a comprehensive framework designed to guide the development and deployment of generative AI technologies. AgileWriter is at the forefront of this movement to explore safe, reliable, and effective AI solutions.

Human in the Loop: Addressing Confabulations (Hallucinations) and Other Dangerous or Inappropriate Content

Human oversight is crucial in AI systems to ensure ethical and accurate outcomes. AgileWriter embodies the Human in the Loop (HITL) approach, where human experts review and validate not only AI-generated content but also the sources and mapping going into the system as well as the training materials and decision-making rules it is taught. This integration helps the AI’s outputs meet high standards of accuracy and ethical considerations, particularly in sensitive areas like clinical documentation.

Medical communicators play a vital role in this process by doing what we do best: ensuring that content adheres to relevant guidelines and patient safety and ethical standards. AgileWriter also leverages other LLM models outside of GPT as a strategy to enhance training and give the model broadest context in terms of scenarios it might encounter in the real world, enhancing the reliability and trustworthiness of its outputs. It also focuses the specific technical components for the parts of the document production process where they maximize the value of that specific approach—for example, toggling the target audience—while leveraging other types of programming logic to perform tasks where generative AI does not bring the same value proposition.

Confabulations (aka hallucinations) can occur when there has been insufficient or ineffective training data, poorly written instructions, idioms or slang that the system cannot comprehend, or model overfitting (where the AI is memorizing answers because of limited training). AgileWriter addresses this issue in a couple of ways:

• The Knowledge Graph is trained on multiple libraries and our own proprietary library built based on our decades of experience producing clinical documentation
• AgileWriter uses both clean copies of documents and templates to streamline the instruction processing
• Every document type is trained on multiple sets of documents, including publicly available documents and templates, to ensure effective training

All outputs are further reviewed by our expert team, leveraging our experience to make sure that hallucinations, biased or toxic language, and dangerous content remain at bay.

Data Privacy, IP, and Security

AgileWriter places a strong emphasis on data privacy and security. By leveraging well-known technologies including Microsoft SharePoint, including a dedicated site for each client, the system stores data in a manner consistent with typical standards that IT professionals would already deploy in other systems. This makes AgileWriter a pliable, scalable, technology-agnostic option for AI-driven generation of clinical documentation. These sites are permissioned based on client domains using standard Microsoft group provisioning techniques, providing an additional layer of control and aligning with best practices in data stewardship and data protection. AgileWriter also leverages advanced encryption and secure access protocols to protect intellectual property and sensitive data.

In addition, our hosting platform resides in the same overall environment as our AI (i.e., Azure), thereby reducing the need for API calls going outside of the hosting environment.

Lastly, AgileWriter maintains audit trails, recording each version of documents produced within the system. This feature not only enhances transparency but also provides a detailed history of changes and updates. As a companion to this feature, technical system logs are also available from the system in the case any troubleshooting is needed.

Sustainability

AgileWriter is committed to sustainability, aligning with Synterex’s rigorous environmental practices. By optimizing data processing and leveraging energy-efficient infrastructures like Microsoft Azure, AgileWriter minimizes its carbon footprint. These efforts reflect a broader commitment to environmental responsibility, ensuring that the advancement of AI technology does not come at the expense of the planet. Synterex’s initiatives, such as innovative carbon footprint reduction strategies and remote work policies, further enhance the sustainability of AgileWriter’s operations.

Human-AI Integration

Explainable AI (XAI) is critical for user trust and compliance. AgileWriter integrates XAI techniques to make the decision-making process of its AI transparent and understandable. This involves using methods like decision trees to clarify how and why certain outputs are generated as well as confusion matrices to summarize the performance of a machine learning model on a set of test data. By making the AI’s operations more transparent, users can better trust and utilize the tool, enhancing their content creation experience. AgileWriter ensures that human expertise is seamlessly integrated with AI capabilities to achieve accurate, reliable, and ethical outcomes.

Additionally, AgileWriter adheres to the Authoring Tool Accessibility Guidelines (ATAG). This commitment to accessibility not only broadens the tool’s usability but also promotes digital inclusivity and equality. By integrating ATAG guidelines, AgileWriter ensures that its AI-driven content creation tools are usable by everyone, including those with disabilities, fostering a more inclusive digital environment.

Streamlining Value Chain and Component Integration

AgileWriter streamlines the value chain by enhancing the efficiency of clinical documentation processes. By using generative AI to automate routine tasks, AgileWriter frees up valuable time for medical writers and other professionals to focus on higher-level tasks. The platform integrates various components, such as document ingestion, knowledge integration, and language processing, into a cohesive workflow that maximizes productivity and accuracy. This comprehensive approach not only improves efficiency but also ensures that all components work together seamlessly to deliver high-quality, compliant documents.

Additionally, AgileWriter leverages a continuous improvement strategy by making the best use of any HITL investments to reteach the model with findings or optimizations. This approach allows the AI to evolve and improve over time. The implications of harnessing the feedback loop range from micro-level savings on single documents or several documents to macro-level impacts, such as taking tasks off the critical path and allowing products to reach the market potentially weeks sooner. This continuous improvement process not only increases efficiency but also accelerates the overall value chain, providing potentially significant value to patients, clients, and other stakeholders.

Conclusion

AgileWriter is committed to ethical, reliable, and sustainable AI development. By prioritizing human oversight, data privacy, sustainability, explainability, and streamlined integration, AgileWriter will remain a trusted and innovative tool in the realm of AI-driven content creation.

Click to find out more information on how AgileWriter is transforming clinical documentation and follow us on social media for the latest updates and insights. Together, we can create a future with ethical, sustainable, and accessible AI technology.