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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

Flexible imputation toolkit for electronic health records [PDF]

Scientific Reports
Missing data in electronic health records (EHRs) poses a significant challenge for analysis. This study introduces Pympute, a comprehensive Python package designed for efficient and robust missing value imputation for EHRs.
Alireza Vafaei Sadr, Jiang Li, Wenke Hwang, Mohammed Yeasin, Ming Wang, Harold Lehmann, Ramin Zand, Vida Abedi   +7 more
doaj   +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, 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

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

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, Z. Xie, Cui Tao, Degui Zhi   +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, Hazrat Ali, N. Hajj, Zubair Shah   +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, Yizhe Xu, Rahul Thapa, Birju S. Patel, E. Steinberg, S. Fleming, M. Pfeffer, J. Fries, N. Shah   +8 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 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