Using Blockchain for Electronic Health Records
Blockchain have been an interesting research area for a long time and the benefits it provides have been used by a number of various industries. Similarly, the healthcare sector stands to benefit immensely from the blockchain technology due to security ...
Ayesha Shahnaz+2 more
doaj +2 more sources
Large language models to identify social determinants of health in electronic health records [PDF]
Social determinants of health (SDoH) play a critical role in patient outcomes, yet their documentation is often missing or incomplete in the structured data of electronic health records (EHRs).
Marco Guevara+13 more
semanticscholar +1 more source
A large language model for electronic health records [PDF]
There is an increasing interest in developing artificial intelligence (AI) systems to process and interpret electronic health records (EHRs). Natural language processing (NLP) powered by pretrained language models is the key technology for medical AI ...
Xi Yang+18 more
semanticscholar +1 more source
Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction [PDF]
Deep learning (DL)-based predictive models from electronic health records (EHRs) deliver impressive performance in many clinical tasks. Large training cohorts, however, are often required by these models to achieve high accuracy, hindering the adoption ...
L. Rasmy+4 more
semanticscholar +1 more source
Artificial intelligence-based methods for fusion of electronic health records and imaging data [PDF]
Healthcare data are inherently multimodal, including electronic health records (EHR), medical images, and multi-omics data. Combining these multimodal data sources contributes to a better understanding of human health and provides optimal personalized ...
Farida Mohsen+3 more
semanticscholar +1 more source
The shaky foundations of large language models and foundation models for electronic health records
The success of foundation models such as ChatGPT and AlphaFold has spurred significant interest in building similar models for electronic medical records (EMRs) to improve patient care and hospital operations.
Michael Wornow+8 more
semanticscholar +1 more source
Privacy in electronic health records: a systematic mapping study
Main Electronic health record (EHR) applications are digital versions of paper-based patient health information. Traditionally, medical records are made on paper.
Rodrigo Tertulino+2 more
semanticscholar +1 more source
The healthcare industry has been transitioning from paper-based medical records to electronic health records (EHRs) in most healthcare facilities. However, the current EHR frameworks face challenges in secure data storage, credibility, and management ...
F. Reegu+5 more
semanticscholar +1 more source
Scalable and accurate deep learning with electronic health records [PDF]
Predictive modeling with electronic health record (EHR) data is anticipated to drive personalized medicine and improve healthcare quality. Constructing predictive statistical models typically requires extraction of curated predictor variables from ...
A. Rajkomar+34 more
semanticscholar +1 more source
Long COVID burden and risk factors in 10 UK longitudinal studies and electronic health records
The frequency of, and risk factors for, long COVID are unclear among community-based individuals with a history of COVID-19. To elucidate the burden and possible causes of long COVID in the community, we coordinated analyses of survey data from 6907 ...
E. Thompson+65 more
semanticscholar +1 more source