Wolters Kluwer Gives Medical Researchers a Productivity Boost with Ovid AI Article Summary
AI summarization enhances medical research workflows with instant, trustworthy synopses to help streamline information gathering
“Amid the accelerating pace of research publishing, and while balancing patient care, administrative demands, and teaching, clinicians and researchers need support in identifying relevant insights faster,” said
AI summarization built for researchers, by researchers
Having AI article summarization built right into the Ovid platform saves users valuable time by helping them quickly identify the key points of lengthy research papers. This is particularly relevant for contemporary clinical care and research. The immense volume of new research published every day makes manual curation and distillation a formidable task. Not only is the summarizer helpful for quickly sharing insights with colleagues, but it also helps busy clinicians and researchers to stay current with the latest evidence.
Ovid’s AI Article Summary tool highlights tactical and ready-to-use insights, as well as key, salient points most relevant to clinical decision-making. This distinction means users receive practical, applicable information quicker. Additionally, the AI generated summaries in Ovid are consistent in structure regardless of journal, making it easier for researchers to quickly distill information from different sources.
Meeting the demands of modern healthcare
“Ovid’s AI Article Summary translates intricate research into clear and actionable insights, enabling evidence-based practices in real-world settings. This is a key step in translating the rapid rate of scientific and research progress to improvements in clinical care delivery,” added
Ovid’s integrated summarization feature offers a research-centric, user-informed design that has direct alignment with clinician and researcher workflows, pinpointing critical findings and methodological insights without ever leaving Ovid. This unique capability was built leveraging specialized prompt engineering to extract clinically and scientifically pertinent information effectively and reliably.
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