From Clinical Question to Submission: An End-to-End AI Research Workflow for Health Researchers

​Clinical research moves slowly. Framing the question, searching the literature, screening studies, synthesising the evidence and writing it up can take months, all alongside clinical and teaching duties.

​In this live, hands-on session, Joanne Donoghue, Ph.D., ACSM-CEP, Director of Clinical Research at NYIT, walks through a complete research workflow with SciSpace. It starts from a clinical question and ends with a manuscript ready for journal submission, all in one place.

​What you’ll learn

• ​Frame the right question: turn a clinical problem into a focused, answerable research question using PICO.

• ​Search smarter: find the most relevant studies fast, beyond PubMed keyword searches.

• ​Screen and extract: screen studies against your inclusion criteria and pull key data into structured evidence tables.

• ​Synthesise the evidence: spot patterns, gaps and conflicting findings across studies.

• ​Write it up: draft the introduction, methods, results and discussion grounded in your evidence, with accurate citations.

• ​Get submission-ready: choose the right journal and run final checks before you submit.

​Who this is for

• ​Physicians, nurses, physiotherapists and allied health professionals who research or publish

• ​Clinical researchers and research coordinators

• ​Medical, nursing and health-science faculty

• ​Graduate students and residents working on research projects

​Format : About 45 minutes of live demo, followed by 15 minutes of Q&A

​About the speaker

​Joanne Donoghue, Ph.D., ACSM-CEP, is Director of Clinical Research at NYIT. She brings hands-on experience in clinical research design and evidence-based practice, and helps researchers make effective, rigorous use of AI tools across the research process.