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Salvatore Calcagno, Andrea Calvagna, Emiliano Tramontana and Gabriella Verga
The Electronic Health Record (EHR) is a system for collecting and storing patient medical records as data that can be mechanically accessed, hence facilitating and assisting the medical decision-making process. EHRs exist in several formats, and each for...
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Yijun Shao, Kaitlin Todd, Andrew Shutes-David, Steven P. Millard, Karl Brown, Amy Thomas, Kathryn Chen, Katherine Wilson, Qing T. Zeng and Debby W. Tsuang
The application of natural language processing and machine learning (ML) in electronic health records (EHRs) may help reduce dementia underdiagnosis, but models that are not designed to reflect minority populations may instead perpetuate underdiagnosis. ...
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Zhaoyi Chen, Yuchen Yang, Dazheng Zhang, Jingchuan Guo, Yi Guo, Xia Hu, Yong Chen and Jiang Bian
Alzheimer?s disease (AD) and AD-related dementias (AD/ADRD) are a group of progressive neurodegenerative diseases. The progression of AD can be conceptualized as a continuum in which patients progress from normal cognition to preclinical AD (i.e., no sym...
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Ruhi Kiran Bajaj, Rebecca Mary Meiring and Fernando Beltran
Computational analysis and integration of smartwatch data with Electronic Medical Records (EMR) present potential uses in preventing, diagnosing, and managing chronic diseases. One of the key requirements for the successful clinical application of smartw...
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Raza Nowrozy, Khandakar Ahmed, Hua Wang and Timothy Mcintosh
This paper proposed a novel privacy model for Electronic Health Records (EHR) systems utilizing a conceptual privacy ontology and Machine Learning (ML) methodologies. It underscores the challenges currently faced by EHR systems such as balancing privacy ...
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Bronwin Patrickson, Mike Musker, Dan Thorpe, Yasmin van Kasteren, Niranjan Bidargaddi and The Consumer and Carer Advisory Group (CCAG)
Advancements in digital monitoring solutions collaborate closely with electronic medical records. These fine-grained monitoring capacities can generate and process extensive electronic record data. Such capacities promise to enhance mental health care bu...
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Massimiliano Greco, Pier Francesco Caruso, Sofia Spano, Gianluigi Citterio, Antonio Desai, Alberto Molteni, Romina Aceto, Elena Costantini, Antonio Voza and Maurizio Cecconi
Background: Sepsis is one of the major causes of in-hospital death, and is frequent in patients presenting to the emergency department (ED). Early identification of high-risk septic patients is critical. Machine learning (ML) techniques have been propose...
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Leina Abdelgalil and Mohamed Mejri
Electronic health records (EHRs) play an important role in our life. However, most of the
time, they are scattered and saved on different databases belonging to distinct institutions (hospitals,
laboratories, clinics, etc.) geographically distributed acr...
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Elena Lazarova, Sara Mora, Norbert Maggi, Carmelina Ruggiero, Alessandro Cosolito Vitale, Paolo Rubartelli and Mauro Giacomini
Currently in hospitals, there are several separate information systems that manage, very often autonomously, the patient?s personal, clinical and diagnostic data. An electronic health record system has been specifically developed for a cardiology ward an...
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Maha Alnashmi, Ahmad Salman, Hanadi AlHumaidi, Maha Yunis and Naser Al-Enezi
After studying the professional practices related to the management of medical records in Kuwaiti hospitals, it became utterly evident that there is inadequate understanding about maintaining the health information of patients. This dire situation is fur...
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