Master systematic review methods and tools to effectively evaluate and synthesize medical research evidence for evidence-based practice.
Master systematic review methods and tools to effectively evaluate and synthesize medical research evidence for evidence-based practice.
This foundational course introduces the principles and practices of systematic reviews in healthcare research. Participants learn to distinguish systematic reviews from other review types and understand key methodological guidelines from organizations like Cochrane Collaboration and National Academy of Medicine. The curriculum covers protocol development, review tools, database searching techniques, and librarian collaboration strategies. Through structured learning modules and practical assessments, students gain competency in conducting comprehensive literature searches and organizing systematic review projects.
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Instructors:
English
English
What you'll learn
Differentiate systematic reviews from other review types
Apply guidelines from leading research organizations
Develop effective research questions and protocols
Master systematic review software tools
Conduct comprehensive database searches in PubMed and EMBASE
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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Module Description
This introductory course provides comprehensive training in systematic review methodology. Through structured modules, participants learn to identify proper review types, develop research protocols, and utilize specialized databases. The curriculum emphasizes practical skills in literature searching, data organization, and collaboration with information specialists.
Fee Structure
Instructor
1 Course
Research Data Management and Education Leader at Stanford Medicine
Dr. John Borghi serves as the SADR/CTSA Data Management Project Manager at Stanford School of Medicine's Senior Associate Dean Research Operations, bringing his expertise in cognitive neuroscience to academic librarianship. After earning his Ph.D. in Integrative Neuroscience and MA in Psychology from Stony Brook University, along with a BA in Psychology from Clark University, he has established himself as a key figure in research data management and instruction. At Stanford's Lane Medical Library, he manages the Research and Instruction team, coordinating essential education and outreach activities. His teaching portfolio includes specialized workshops on research data management, focusing on NIH Data Management and Sharing Plans, research workflows, and standard operating procedures. As a Certified Software Carpentry Instructor, Borghi has contributed significantly to Stanford's research community through his expertise in data management practices and research methodology. His research work has garnered over 1,000 citations, demonstrating his impact in both neuroscience and research data management fields.
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Frequently asked questions
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