Explore insights to improve outcomes
What if one insight could hold the key to a diagnosis?
Advancing progress with AI and trusted insights
Reimagining the future of care
As healthcare continues to evolve, clarity and precision are more critical than ever. The future isn’t defined by the volume of information—it’s shaped by our ability to make sense of it and equipping clinicians with the insights and support they need to make decisions that truly matter.
It begins with bold questions like, what if one insight could hold the key to a diagnosis?
The answer to this lies at the intersection of trusted content, healthcare expertise, and advanced AI—working in harmony to shape a future where every decision drives better outcomes.
How AI and trusted insights drive progress
The challenges facing healthcare professionals today are immense. From managing critical decisions to addressing the growing demand for personalized care, clinicians are under constant pressure to deliver the best outcomes.
By integrating advanced AI with trusted, evidence-based content, Elsevier is helping to reduce this burden—enabling clinicians to focus on what matters most: delivering patient-centered care. The incorporation of AI can also help clinicians with:
Clarity in decision-making: AI-powered tools synthesize vast amounts of scientific literature, including peer-reviewed journals, medical books, and clinical guidelines, to provide clinicians with reliable knowledge quickly and confidently, tailored to their specific needs.
Precision and speed: AI streamlines access to critical insights by filtering out irrelevant data and highlighting the most relevant information, enabling decisive action in time-sensitive situations.
Confidence in every moment: Thoughtfully designed AI tools enhance and support clinical expertise, enabling healthcare professionals to dedicate more attention to their patients.
Rather than replacing the vital role of clinicians, AI acts as a tool to empower general practitioners, with the potential to enhance diagnostic support, clinical knowledge, and provide administrative relief.
RG
Rahul Goyal, MD
Elsevier 的 Clinical Executive
The importance of responsible AI in healthcare
Elsevier’s latest published Clinician of the Future report highlights that while 70% of clinicians believe AI will save them time and improve patient outcomes, only 32% feel supported by their institutions with adequate digital tools, and just 30% receive sufficient AI training. This underscores the need for responsible AI that is transparent, reliable, and designed to complement clinical expertise.
As AI becomes a more integral part of healthcare, its implementation must be guided by trust, transparency, and collaboration. Responsible AI is not just about technology—it’s about ensuring that every tool supports the people who use it.
Building trust: AI tools are grounded in evidence-based content, helping clinicians access accurate and reliable insights.
Fostering transparency: Clear, explainable recommendations and citations allow clinicians to understand and trust the insights they receive.
Promoting equity: Addressing bias and prioritizing inclusivity helps AI support equitable care for all patients.
We’re leveraging the power of generative AI to not just search this vast repository of information but also to synthesize the results and serve them up in a way that is easy to understand, to iterate on, and where you can follow references back to the source to verify information.
LC
Louise Chang, MD, FACP
Elsevier 的 Global VP of Clinical Solutions Strategy and Partnerships