TY - JOUR
T1 - Clinical Information Retrieval
T2 - A Literature Review
AU - Sivarajkumar, Sonish
AU - Mohammad, Haneef Ahamed
AU - Oniani, David
AU - Roberts, Kirk
AU - Hersh, William
AU - Liu, Hongfang
AU - He, Daqing
AU - Visweswaran, Shyam
AU - Wang, Yanshan
N1 - Publisher Copyright:
© 2024, The Author(s), under exclusive licence to Springer Nature Switzerland AG.
PY - 2024
Y1 - 2024
N2 - Clinical information retrieval (IR) plays a vital role in modern healthcare by facilitating efficient access and analysis of medical literature for clinicians and researchers. This scoping review aims to offer a comprehensive overview of the current state of clinical IR research and identify gaps and potential opportunities for future studies in this field. The main objective was to assess and analyze the existing literature on clinical IR, focusing on the methods, techniques, and tools employed for effective retrieval and analysis of medical information. Adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we conducted an extensive search across databases such as Ovid Embase, Ovid Medline, Scopus, ACM Digital Library, IEEE Xplore, and Web of Science, covering publications from January 1, 2010, to January 4, 2023. The rigorous screening process led to the inclusion of 184 papers in our review. Our findings provide a detailed analysis of the clinical IR research landscape, covering aspects like publication trends, data sources, methodologies, evaluation metrics, and applications. The review identifies key research gaps in clinical IR methods such as indexing, ranking, and query expansion, offering insights and opportunities for future studies in clinical IR, thus serving as a guiding framework for upcoming research efforts in this rapidly evolving field. The study also underscores an imperative for innovative research on advanced clinical IR systems capable of fast semantic vector search and adoption of neural IR techniques for effective retrieval of information from unstructured electronic health records (EHRs).
AB - Clinical information retrieval (IR) plays a vital role in modern healthcare by facilitating efficient access and analysis of medical literature for clinicians and researchers. This scoping review aims to offer a comprehensive overview of the current state of clinical IR research and identify gaps and potential opportunities for future studies in this field. The main objective was to assess and analyze the existing literature on clinical IR, focusing on the methods, techniques, and tools employed for effective retrieval and analysis of medical information. Adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we conducted an extensive search across databases such as Ovid Embase, Ovid Medline, Scopus, ACM Digital Library, IEEE Xplore, and Web of Science, covering publications from January 1, 2010, to January 4, 2023. The rigorous screening process led to the inclusion of 184 papers in our review. Our findings provide a detailed analysis of the clinical IR research landscape, covering aspects like publication trends, data sources, methodologies, evaluation metrics, and applications. The review identifies key research gaps in clinical IR methods such as indexing, ranking, and query expansion, offering insights and opportunities for future studies in clinical IR, thus serving as a guiding framework for upcoming research efforts in this rapidly evolving field. The study also underscores an imperative for innovative research on advanced clinical IR systems capable of fast semantic vector search and adoption of neural IR techniques for effective retrieval of information from unstructured electronic health records (EHRs).
KW - Applications
KW - Electronic health records
KW - Information retrieval
KW - Natural language processing
KW - Tools
UR - http://www.scopus.com/inward/record.url?scp=85183373523&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85183373523&partnerID=8YFLogxK
U2 - 10.1007/s41666-024-00159-4
DO - 10.1007/s41666-024-00159-4
M3 - Article
AN - SCOPUS:85183373523
SN - 2509-498X
JO - Journal of Healthcare Informatics Research
JF - Journal of Healthcare Informatics Research
ER -