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Electronic Health Records [PDF]

International Dental Journal
doaj   +5 more sources

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, Usman Qamar, Ayesha Khalid   +2 more
doaj   +2 more sources

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, Aokun Chen, Nima M. Pournejatian, Hoo-Chang Shin, Kaleb E. Smith, Christopher Parisien, Colin B. Compas, Cheryl Martin, Anthony B Costa, Mona G. Flores, Ying Zhang, Tanja Magoc, C. Harle, Gloria P. Lipori, Duane A. Mitchell, W. Hogan, E. Shenkman, Jiang Bian, Yonghui Wu   +18 more
semanticscholar   +1 more source

Natural Language Processing in Electronic Health Records in relation to healthcare decision-making: A systematic review [PDF]

Comput. Biol. Medicine, 2023
BACKGROUND Natural Language Processing (NLP) is widely used to extract clinical insights from Electronic Health Records (EHRs). However, the lack of annotated data, automated tools, and other challenges hinder the full utilisation of NLP for EHRs ...
Elias Hossain, R. Rana, N. Higgins, J. Soar, P. Barua, Anthony R. Pisani, K. Turner   +6 more
semanticscholar   +1 more source

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, Shan Chen, S. Thomas, T. Chaunzwa, I. Franco, B. Kann, S. Moningi, J. Qian, Madeleine H Goldstein, Susan M. Harper, H. Aerts, G. Savova, R. Mak, D. Bitterman   +13 more
semanticscholar   +1 more source

6-month neurological and psychiatric outcomes in 236 379 survivors of COVID-19: a retrospective cohort study using electronic health records

Lancet psychiatry, 2021
Background Neurological and psychiatric sequelae of COVID-19 have been reported, but more data are needed to adequately assess the effects of COVID-19 on brain health.
M. Taquet, J. Geddes, M. Husain, S. Luciano, Paul J. Harrison   +4 more
semanticscholar   +1 more source

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, Yang Xiang, Ziqian Xie, Cui Tao, Degui Zhi   +4 more
semanticscholar   +1 more source

What is stopping primary health centers to go digital? Findings of a mixed-method study at a district level health system in Southern India

Indian Journal of Community Medicine, 2021
Introduction: Electronic medical records (EMRs) are computerized medical information systems that collect, store, and display patient information and essential for the achievement of primary health-care goals.
Ravi Barigela, Prakash Babu Kodali, Sibasis Hense   +2 more
doaj   +1 more source

Analysis of Platforms and Functions of Mobile-Based Personal Health Record Systems [PDF]

Healthcare Informatics Research, 2020
Objectives Little is known about the platforms and functionalities of mobile-based personal health record (PHR) applications. The objective of this study was to investigate these two features of PHR systems.
Byung Kwan Choi, Young-Taek Park, Lee-Seung Kwon, Yeon Sook Kim   +3 more
doaj   +1 more source

Scalable and accurate deep learning with electronic health records [PDF]

npj Digital Medicine, 2018
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, Eyal Oren, Kai Chen, Andrew M. Dai, Nissan Hajaj, Michaela Hardt, Peter J. Liu, Xiaobing Liu, J. Marcus, Mimi Sun, Patrik Sundberg, H. Yee, Kun Zhang, Yi Zhang, Gerardo Flores, Gavin E Duggan, Jamie Irvine, Quoc V. Le, Kurt Litsch, Alexander Mossin, Justin Tansuwan, De-Jun Wang, James Wexler, Jimbo Wilson, Dana Ludwig, S. Volchenboum, Katherine Chou, Michael Pearson, Srinivasan Madabushi, N. Shah, A. Butte, M. Howell, Claire Cui, Greg S. Corrado, Jeffrey Dean   +34 more
semanticscholar   +1 more source