Synterex Blog

Safety narratives serve as a critical component of clinical trial documentation, providing a comprehensive account of a patient’s...

The advent of AI has brought with it many ethical concerns from medical writers and other stakeholders.

Instead of focusing on shrinking teams, medical writing leaders should use AI to expand their department’s scope and strategic value.

When implemented thoughtfully, AI can enhance job satisfaction, improve digital employee experience (DEx), and foster a great workplace culture.

In an era dominated by rapid advancements in artificial intelligence (AI), the need for robust governance frameworks has never been more critical. The Universal Guidelines on Artificial Intelligence (UGAI) represented a pioneering effort to address the ethical, legal, and societal challenges posed by AI technologies.

Clinical documentation is a critical component in the healthcare and pharmaceutical industries, serving as the backbone for clinical studies, regulatory submissions, and patient care. Developing and maintaining metrics for the production of clinical documentation is essential to ensure quality, compliance, and efficiency and to be able to identify and mitigate risk during this process.

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.

The environmental impact of artificial intelligence (AI) is increasingly scrutinized due to the significant energy consumption and carbon emissions associated with data centers and computational processes. As a product of Synterex, AgileWriter.ai embodies a unique position in the AI landscape, integrating Synterex’s rigorous sustainability practices to mitigate environmental impacts effectively.

Artificial intelligence (AI) continues to reshape industries, societies, and economies globally. As AI technologies evolve and integrate deeper into various sectors, establishing robust frameworks to manage their development and use becomes crucial. The Organization for Economic Co-operation and Development (OECD) has taken significant steps in this direction with its Recommendation on Artificial Intelligence.

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.

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 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.

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.