Elsevier, Springer· Springer Nature and Wiley, together with Elsevier, are collectively known as the three major academic publishers. Currently, Elsevier has become the world’s largest publisher and has successfully transformed from a traditional publisher into a provider of information analytics and solutions. By integrating cutting-edge scientific research technologies with its extensive accumulated data, Elsevier is expanding into a broader range of user scenarios.
Data-Driven, Technology-Powered
In the 17th century, the Dutch Elzevir family risked their financial stability and personal safety to publish numerous scientific breakthroughs that were banned in other countries, such as the works of Galileo, Descartes, and Locke. In 1880, Jacobus Robbers decided to name his publishing house after the Elzevirs, modernizing the spelling to “Elsevier” in the hope of carrying forward the spirit of the Elzevir family.
After nearlyWith 140 years of development, Elsevier has now become the world's largest publisher, publishing more than 2,500 journals. Top medical journals such as Cell and The Lancet, along with their subsidiary journals, are all published and distributed by Elsevier. “We receive over 18010,000 copies, of which only“Articles can be formally published at a rate of 1/3 to 1/4. Professional editors and peer reviewers who are experts in relevant fields are responsible for ensuring the quality of the published content,” said Mr. Lin Guoqing, President of Elsevier Greater China.
Leveraging its vast repository of accumulated articles, Elsevier has long been strategically positioning itself in the database sector. Elsevier’s literature databaseScienceDirect has indexed 2,500Various journals,More than 39,000 e-books and 1,600Tens of thousands of articles. Serving overProvides robust work support to 15 million researchers, faculty members, students, and healthcare professionals.
“Elsevier’s user base is highly diverse, so we need to address these different segments through varied product strategies. What Elsevier has consistently been doing is ensuring that high-quality content is delivered more precisely toin the hands of users.“Lin Guoqing said. To meet the needs of more users, Elsevier has been trying to help users access information through multiple channels. For example, by collaborating with information vendors to assist doctors in obtaining clinical decision support information promptly during their work; partnering with research institutions to enhance research performance, strategies, and impact; and sharing medical knowledge and healthcare information via multimedia platforms.”
In its adoption of new technologies, Elsevier is evolving from a traditional publisher into an information analytics and solutions provider that leverages technology to empower content. The company now boasts a technical team of more than 1,000 professionals. Given Elsevier’s massive annual publication output, machine learning is indispensable for accurately extracting content. Consequently, Elsevier began its machine learning initiatives years ago to develop diverse products tailored to varying user needs.
Big Data Empowers Scientific Research and Assists in Research Planning
“In our communications with hospitals, their needs are primarily focused on medical care, education, and research,” said Lin Guoqing. In the realm of scientific research, Elsevier has developed a wide variety of service offerings. Standard article publication is itself a form of research support; additionally, Elsevier facilitates research through workshops and lectures, enabling publishing professionals to exchange experiences and insights on academic paper publication with researchers.
Leveraging its vast data resources, Elsevier is exploring the use of big data to support scientific research. On ScienceDirect, Elsevier employs big data analytics to identify areas of reader interest and precisely recommend hot research papers in those fields to users. “We aim to evolve the services we provide from supporting reading, to supporting search, and ultimately to supporting utilization,” said Ma Yunpeng, Head of Healthcare Solutions for Greater China at Elsevier.
Furthermore, Elsevier is leveraging big data to assist research institutions and relevant authorities in managing scientific talent, research directions, and research outcomes. Elsevier has a dedicated team focused on optimizing data structuring and tagging, providing corresponding platform products to institutions in need.
Localized Clinical Products, Supporting Primary Healthcare, and Advancing Healthy China 2030
“Elsevier’s mission in China extends beyond supporting scientific research to also contributing to the nation’s health initiatives. ‘Healthy China 2030’ is a key national health strategy, and enhancing primary healthcare services is one of its critical measures,” said Lin Guoqing.
Clinical decision support is Elsevier’s current primary strategic focus. To date, Elsevier has established the medical imaging database STATdx, the clinical decision support product ClinicalKey, and Via Oncology, a clinical decision support solution in the field of oncology.
ClinicalKey is an application product developed by Elsevier specifically for clinical practice. It is one of the most comprehensive, high-quality, and technologically advanced medical platforms globally, covering all clinical specialties and providing effective support to medical schools in the areas of medical care, education, and research.
However, the deployment of ClinicalKey in China has encountered certain obstacles. For physicians at tertiary hospitals and students at medical universities, using ClinicalKey presents virtually no barriers. However, for staff at hospitals below the tertiary level and at primary healthcare institutions, the all-English interface and relatively advanced content have posed significant challenges during use.
To support the development and capacity building of primary healthcare, Elsevier has comprehensively localized ClinicalKey, branding it as "Clinical Key China." Within Clinical Key China, Elsevier has curated the core international content from ClinicalKey, subjecting it to review and editing by authoritative domestic experts to localize portions that align with clinical needs in China. This content is primarily drawn from clinical reviews, specialized textbooks, and pharmaceutical databases, encompassing multidimensional information such as drug package inserts, drug interactions, incompatibilities, and research advances. Additionally, Clinical Key China features over 400 built-in medical calculators and scoring tools to assist users as needed.
Elsevier leverages this content to interconnect diseases, medications, and treatment regimens, delivering tailored information to healthcare professionals based on their needs. This assists them in rapidly performing differential diagnoses and confirming patient treatment plans. “Due to the complexity of medical knowledge, physicians may encounter situations that require verification of drug dosages, contraindications, and other specific considerations. Amidst their busy schedules, doctors greatly need a tool to provide timely reminders. Elsevier’s ClinicalKey is designed to address precisely such clinical scenarios,” introduced Ma Yunpeng. ClinicalKey is now available as a web-based version and an Android app, with an iOS version forthcoming.
To facilitate use in clinical practice, Clinical Key features three core attributes. First is speed: Clinical Key supports fuzzy search and intelligent recommendations, helping physicians quickly find clinical answers. Second is precision: The content consists of thematic monographs authored by experts in various fields based on the latest domestic and international guidelines; it remains concise and easy to understand while being localized, assisting physicians in accurately confirming treatment plans. Third is accuracy: By leveraging machine learning technologies and highly structured content, Clinical Key ensures that user queries are precisely matched.
Resource-Derived Teaching Services to Enhance Instructional Communication Efficiency
ClinicalKey has also spawned a derivative product aimed directly at students: ClinicalKey Student. Previously, Elsevier’s support for education primarily involved introducing foreign English-language reference books or collaborating with domestic publishers to release corresponding translated editions. ClinicalKey Student shifts Elsevier’s educational support from offline to online, making its solutions more accessible.
ClinicalKey Student encompasses over 200 highly acclaimed medical textbooks, more than 850 videos, upwards of 85,000 images, and over 1,500 quick-reference summaries, covering nearly all the resources medical students require throughout their studies. Its unique assessment functionality serves as a supplement to instructors’ daily coursework; with a question bank containing more than 4,000 items, it enables educators to easily build customized assessment systems. Through detailed performance evaluation reports and data collection, it effectively links students’ knowledge gaps to relevant knowledge bases. Meanwhile, students can rapidly integrate medical knowledge into clinical practice scenarios by testing themselves with clinical scenario-based questions.
From publisher to information services provider, at the intersection of a new era and emerging technologies, Elsevier, this century-old giant, has once again charted a new course by leveraging its vast accumulated data. “China’s scientific research is accelerating under the impetus of innovation-driven initiatives such as the ‘Double First-Class’ initiative,” said Lin Guoqing, expressing strong confidence in China’s research environment. Elsevier will continue to support the advancement of scientific research and healthcare development in China.