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.

The National Institute of Standards and Technology (NIST) has developed a comprehensive framework aimed at enhancing the trustworthiness of AI systems. This framework, known as the NIST AI Risk Management Framework (AI RMF), is designed to support stakeholders across industry, academia, and government in fostering responsible AI development and deployment.

In today's fast-paced world, effective time management and prioritization are crucial. Enter the Eisenhower Matrix, a powerful tool that can help you streamline your tasks and make better decisions. Named after President Dwight D. Eisenhower, this matrix categorizes tasks based on their urgency and importance, enabling you to focus on what truly matters.

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.

In the rapidly evolving field of artificial intelligence, NIST's new Generative Artificial Intelligence (genAI) Profile guidance offers crucial strategies for managing AI risks. This post breaks down the essential tasks under four categories: Govern, Map, Measure, and Manage.

Introduction The National Institute of Standards and Technology (NIST) has crafted a robust framework aimed at guiding the responsible development and deployment of generative artificial intelligence. The draft Generative AI Intelligence Profile addresses critical concerns that span safety, security, ethical standards, and compliance issues.

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.

Toward the end of clinical document development, a quality control (QC) review is needed to verify data, check facts, ensure structure is internally logical and meets regulatory requirements, and proofread for typographical errors or inconsistencies.

The International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH) recently released a third revision of its E6 Guideline, also known as ICH E6 (R3). This revision introduces new concepts and updates in the realm of clinical trial methodologies, with an emphasis on quality, flexibility, and modernization.

We asked ChatGPT to tell us a story about a medical writer; here’s what it got right and what it got wrong.

Crawl technology is a valuable tool for content curation. Download this poster, presented by Synterex at the 2022 American Medical Writers Association (AMWA) conference, or scroll down for a text-only version.

Five ways to use SharePoint better! Download this poster, presented by Synterex at the 2022 American Medical Writers Association (AMWA) conference, or scroll down for a text-only version.

Co-authoring has grown to become a huge part of our lives regardless of the industry. People can collaborate on documents in real-time, leave comments, and work together regardless of their geographic location. The technology is growing quickly and they constantly add new features that provide a rich and user-friendly experience.