Using Blockchain for Electronic Health Records
IEEE Access, 2019 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
Health Records Database and Inherent Security Concerns: A Review of the Literature [PDF]
Cureus, 2022 The use of electronic health records (EHRs) has grown significantly in the past decade. Health information databases contain sensitive patient information, including their names and addresses, tests, diagnoses, treatment, and medical history.
Nduma N Basil +3 more
openalex +2 more sources
Large language models to identify social determinants of health in electronic health records [PDF]
npj Digit. Medicine, 2023 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]
npj Digital Medicine, 2022 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
Security and privacy of electronic health records: Concerns and challenges
Egyptian Informatics Journal, 2020 Ismail Keshta, Ammar Odeh
openalex +2 more sources
Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction [PDF]
npj Digital Medicine, 2020 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]
Scientific Reports, 2022 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
npj Digit. Medicine, 2023 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
Sustainability, 2023 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
Privacy in electronic health records: a systematic mapping study
Journal of public health, 2023 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