Faculty Opinions recommendation of SemEHR: A general-purpose semantic search system to surface semantic data from clinical notes for tailored care, trial recruitment, and clinical research.

Abstract Objective Unlocking the data contained within both structured and unstructured components of electronic health records (EHRs) has the potential to provide a step change in data available for secondary research use, generation of actionable medical insights, hospital management, and trial recruitment. To achieve this, we implemented SemEHR, an open source semantic search and analytics tool for EHRs. Methods SemEHR implements a generic information extraction (IE) and retrieval infrastructure by identifying contextualized mentions of a wide range of biomedical concepts within EHRs. Natural language processing annotations are further assembled at the patient level and extended with EHR-specific knowledge to generate a timeline for each patient. The semantic data are serviced via ontology-based search and analytics interfaces. Results SemEHR has been deployed at a number of UK hospitals, including the Clinical Record Interactive Search, an anonymized replica of the EHR of the UK South London and Maudsley National Health Service Foundation Trust, one of Europe’s largest providers of mental health services. In 2 Clinical Record Interactive Search–based studies, SemEHR achieved 93% (hepatitis C) and 99% (HIV) F-measure results in identifying true positive patients. At King’s College Hospital in London, as part of the CogStack program (github.com/cogstack), SemEHR is being used to recruit patients into the UK Department of Health 100 000 Genomes Project (genomicsengland.co.uk). The validation study suggests that the tool can validate previously recruited cases and is very fast at searching phenotypes; time for recruitment criteria checking was reduced from days to minutes. Validated on open intensive care EHR data, Medical Information Mart for Intensive Care III, the vital signs extracted by SemEHR can achieve around 97% accuracy. Conclusion Results from the multiple case studies demonstrate SemEHR’s efficiency: weeks or months of work can be done within hours or minutes in some cases. SemEHR provides a more comprehensive view of patients, bringing in more and unexpected insight compared to study-oriented bespoke IE systems. SemEHR is open source, available at https://github.com/CogStack/SemEHR.

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SemEHR: A General-purpose Semantic Search System to Surface Semantic Data from Clinical Notes for Tailored Care, Trial Recruitment and Clinical Research

10.1101/235622 ◽

2017 ◽

Cited By ~ 1

Author(s):

Honghan Wu ◽

Giulia Toti ◽

Katherine I. Morley ◽

Zina M. Ibrahim ◽

Amos Folarin ◽

...

Keyword(s):

Information Extraction ◽

Open Source ◽

Language Processing ◽

Semantic Search ◽

Trial Recruitment ◽

College Hospital ◽

Link Type ◽

Semantic Data ◽

Wide Range ◽

The Uk

ABSTRACTObjectiveUnlocking the data contained within both structured and unstructured components of Electronic Health Records (EHRs) has the potential to provide a step change in data available forsecondary research use, generation of actionable medical insights, hospital management and trial recruitment. To achieve this, we implemented SemEHR - a semantic search and analytics, open source tool for EHRs.MethodsSemEHR implements a generic information extraction (IE) and retrieval infrastructure by identifying contextualised mentions of a wide range of biomedical concepts within EHRs. Natural Language Processing (NLP) annotations are further assembled at patient level and extended with EHR-specific knowledge to generate a timeline for each patient. The semantic data is serviced via ontology-based search and analytics interfaces.ResultsSemEHR has been deployed to a number of UK hospitals including the Clinical Record Interactive Search (CRIS), an anonymised replica of the EHR of the UK South London and Maudsley (SLaM) NHS Foundation Trust, one of Europes largest providers of mental health services. In two CRIS-based studies, SemEHR achieved 93% (Hepatitis C case) and 99% (HIV case) F-Measure results in identifying true positive patients. At King’s College Hospital in London, as part of the CogStack programme (github.com/cogstack), SemEHR is being used to recruit patients into the UK Dept of Health 100k Genome Project (genomicsengland.co.uk). The validation study suggests that the tool can validate previously recruited cases and is very fast in searching phenotypes - time for recruitment criteria checking reduced from days to minutes. Validated on an open intensive care EHR data - MIMICIII, the vital signs extracted by SemEHR can achieve around 97% accuracy.ConclusionResults from the multiple case studies demonstrate SemEHR’s efficiency - weeks or months of work can be done within hours or minutes in some cases. SemEHR provides a more comprehensive view of a patient, bringing in more and unexpected insight compared to study-oriented bespoke information extraction systems.SemEHR is open source available at https://github.com/CogStack/SemEHR.

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Cross-Cultural Religious Tourism with Impression Distance Search System

Frontiers in Artificial Intelligence and Applications - Information Modelling and Knowledge Bases XXXII ◽

10.3233/faia200836 ◽

2020 ◽

Author(s):

Piyaporn Nurarak ◽

Shiori Sasaki ◽

Irene Erlyn Wina Rachmawan ◽

Yasushi Kiyoki

Keyword(s):

Cross Cultural ◽

Semantic Search ◽

Experimental Results ◽

Cultural Communication ◽

Search System ◽

Cross Cultural Communication ◽

Emotional Distance ◽

Religious Tourism ◽

Global Tourism ◽

Different Cultures

Cross-cultural religious tourism is computational to promote cross-cultural communication and understanding according to impression distance. Our motivation to implement semantic search with an emotion-oriented context into the proposed system is to realize global tourism recommendations expressed in different cultures. The objectives of this paper are (1) to find the religious places by using the tourist’s emotional distance, (2) to find similar religious places not only in the same culture but also in the different cultures with the tourist’s emotional distance calculations. Experimental results demonstrate the feasibility and applicability of this method.

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Using Social Media to Increase the Recruitment of Clinical Research Participants

Encyclopedia of Information Science and Technology, Fourth Edition ◽

10.4018/978-1-5225-2255-3.ch624 ◽

2018 ◽

pp. 7181-7189

Author(s):

Saliha Akhtar

Keyword(s):

Clinical Trial ◽

Social Media ◽

Clinical Trials ◽

Clinical Research ◽

Recruitment Strategies ◽

Primary Role ◽

Trial Recruitment ◽

Recruitment Methods ◽

Pros And Cons ◽

Clinical Trial Recruitment

Research has shown that clinical research continues to have difficulty recruiting participants. This problem is expected to increase as the number of clinical trials increases and as there continues to be more focus on complex diseases and treatments. Researchers have typically relied on traditional recruitment methods to recruit participants, which revolve around the physicians and their support staff having the primary role to locate and recruit these participants. However, with individuals using online platforms such as social media to retrieve information, this creates an opportunity for research site personnel to use it as a way to relay information on clinical trial opportunities. Studies that have used social media as a way to recruit participants are discussed. Furthermore, pros and cons of social media for recruitment, along with recommendations that future researchers should consider when deciding whether to implement this type of strategy in their clinical trials will be shared. In general, clinical trial recruitment strategies need to shift to an approach that is not only more targeted, but also has a larger reach. By evaluating the success of studies that have used social recruitment strategies so far, it is evident that future researchers can also achieve recruitment success through social media. Moreover, social media could be a promising new avenue for clinical trial recruitment that allows for a more positive experience for both investigative site personnel and potential participants.

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