In the fast-evolving biopharmaceutical industry, the integration of artificial intelligence (AI) into clinical documentation processes presents an unprecedented opportunity to enhance efficiency and accuracy across the entire value chain. By adopting a technology-agnostic AI system, biopharma companies can significantly streamline operations, reduce costs, and accelerate drug development, ultimately delivering innovative therapies to patients more quickly.

As artificial intelligence (AI) permeates various aspects of life and business, the importance of explainable AI (XAI) grows, particularly in content creation tools—especially when those are being used in a regulated environment. Explainable AI enhances user trust by making the workings of AI systems transparent and comprehensible.

In recent years, lean authoring principles have emerged as a cornerstone for efficient and effective communication. These principles, which emphasize planning, avoiding redundancy, and using precise language, are especially relevant in technical and professional writing.

The World Health Organization (WHO) has long been a guiding force in global health issues, setting standards and offering recommendations to ensure the well-being and safety of populations worldwide.

Artificial intelligence (AI) systems are increasingly integrated into various sectors, including healthcare, finance, and customer service, making their reliability and accuracy critical. However, one lesser-known issue that can arise with AI systems is confabulation (aka hallucinations, fabrications).

In today’s rapid digital transformation of the clinical trials space, artificial intelligence (AI) is becoming an indispensable part of meeting business goals and improving patient care and treatment.

In the rapidly evolving landscape of artificial intelligence (AI), the 11 × 11 tipping point has emerged as a critical concept. This tipping point refers to the moment when AI technologies reach an optimal level of efficiency and effectiveness.

The United Nations General Assembly in March 2024 adopted a significant resolution aimed at leveraging artificial intelligence (AI) for sustainable development while ensuring it remains safe, secure, and trustworthy. This initiative underscores a global commitment to balancing technological advancement with ethical standards, human rights, and social inclusiveness.

In recent years, the integration of Artificial Intelligence (AI) into various sectors has sparked widespread discourse, particularly concerning its application in the medical writing field.

Implementing an AI pilot project for clinical documentation software requires meticulous planning and strategic execution. Here are the essential best practices for ensuring the success of your AI pilot project.

Introduction In the rapidly evolving landscape of healthcare, artificial intelligence (AI) is transforming the way clinical documentation is managed. As biotech and pharmaceutical companies, academic institutions, and healthcare systems increasingly adopt AI tools to improve the accuracy and efficiency of clinical information, the need for robust governance structures becomes imperative.

In today’s digital age, accessibility in technology is not just a feature—it's a necessity. As a disabled-owned company, we recognize the importance of creating tools that everyone can use, particularly when it comes to AI-enabled and intelligent authoring systems.

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