Results 61 to 70 of about 102,740 (301)

Enhanced EHR Lifecycle Enhancing the EHR Lifecycle with Process Mining

, 2022
Data used for experimentation is from the open-source EHR, Open ...
Lili Wang (12184214), Xianwen Fang (12184219), Esther Asare (12184178)   +2 more
core   +1 more source

Towards a Compositional Framework for Describing Human Phenotypes

Advanced Science, EarlyView.
The Phenotype Assembly Method (PhenoAM) decomposes phenotype variables into measurable Features and typed Qualifiers, enabling standardized, machine‐readable Phenome Data Elements (PhenoDEs) that preserve measurement context. Applied in the International Human Phenome Project (IHPP), the framework yields 58 371 PhenoDEs and supports component‐level ...
Wanting Hu, Yunchao Ling, Xinyue Hu, Wei Chen, Rong Zhou, Xinhao Zhuang, Yanfeng Jiang, Jialu Zhao, Xingdong Chen, Jingchun Luo, Li Jin, Guoqing Zhang   +11 more
wiley   +1 more source

Symptom‐Driven Prediction of Chronic Multimorbidity with a Macro–Micro Heterogeneous Graph Neural Network

Advanced Science, EarlyView.
Clinical symptoms offer a window into multimorbidity. A macro‐micro heterogeneous graph neural network integrates clinical records with biomedical knowledge to improve patient‐level symptom‐disease association learning and visit‐level multimorbidity completion.
Yiheng Ye, Miaoru Han, Siqiao Tang, Zongxiang Zhang, Haichen Shen, Bingzhen Sun, Yan Zhang, Xiaodong Chu, Lijuan Deng, Chaoyang Zheng, Qingchun Huang, Kun Bao, Ronghua Zhang, Yong Wang, Fengwei Zhang, Xiaoli Chu   +15 more
wiley   +1 more source

The Adaptation of Digital Health Solutions During the COVID-19 Pandemic in Hungary: A Scoping Review [PDF]

International Journal of Health Policy and Management
Background Before the pandemic, digital health was merely a potential alternative to established systems of healthcare provision in Hungary. The technology was available but there was no governmental strategy regarding digital health use and development.
Bence Döbrössy, Edmond Girasek, Zsuzsa Győrffy   +2 more
doaj   +1 more source

When Biology Meets Medicine: A Perspective on Foundation Models

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu, Yuxing Wang, Limin Zou, Jing Huang   +3 more
wiley   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

EHR implementation

, 2016
To increase patient safety and efficiency levels in patient care, electronic health records (EHRs) are increasingly implemented in, for example, hospital settings.
Nicola Stanczyk
core   +2 more sources

Association of Electronic Health Record Use With Quality of Care and Outcomes in Heart Failure: An Analysis of Get With The Guidelines—Heart Failure

Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, 2018
BackgroundAdoption of electronic health record (EHR) systems has increased significantly across the nation. Whether EHR use has translated into improved quality of care and outcomes in heart failure (HF) is not well studied.
Senthil Selvaraj, Gregg C. Fonarow, Shubin Sheng, Roland A. Matsouaka, Adam D. DeVore, Paul A. Heidenreich, Adrian F. Hernandez, Clyde W. Yancy, Deepak L. Bhatt   +8 more
doaj   +1 more source

Current Standards of Monitoring Models in Healthcare Settings

Advanced Intelligent Discovery, EarlyView.
AI/ML‐enabled medical devices are entering clinical practice faster than monitoring standards mature. This review highlights gaps in postmarket surveillance, limited use of predetermined change‐control plans, and the need for ongoing performance tracking, drift detection, explainability, and workflow‐aware governance to support safer, more reliable ...
Alan Kay, Daljit Takher, Wenting Liu, Emily Wittrup, Gilbert S. Omenn, Kayvan Najarian   +5 more
wiley   +1 more source

Return on Investment in Electronic Health Records in Primary Care Practices: A Mixed-Methods Study

JMIR Medical Informatics, 2014
BackgroundThe use of electronic health records (EHR) in clinical settings is considered pivotal to a patient-centered health care delivery system. However, uncertainty in cost recovery from EHR investments remains a significant concern in primary care ...
Jang, Yeona, Lortie, Michel A, Sanche, Steven   +2 more
doaj   +1 more source