Results 61 to 70 of about 168,531 (277)

Trends and Perceptions of Electronic Health Record Usage among Plastic Surgeons

Plastic and Reconstructive Surgery, Global Open, 2020
Background:. Electronic health records (EHRs) should help physicians stay organized, improve patient safety, and facilitate communication with both patients and fellow healthcare providers.
Michelle Seu, BA, Brian H. Cho, MD, Rachel Pigott, OT, MPH, Samuel Sarmiento, MD, MPH, MBA, Rachel Pedreira, BA, Deepa Bhat, MD, Justin Sacks, MD, MBA   +6 more
doaj   +1 more source

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

Physician Satisfaction Following Electronic Health Record Adoption in Three Massachusetts Communities

Interactive Journal of Medical Research, 2012
BackgroundDespite mandates and incentives for electronic health record (EHR) adoption, little is known about factors predicting physicians’ satisfaction following EHR implementation.
Heyworth, Leonie, Zhang, Fang, Jenter, Chelsea A, Kell, Rachel, Volk, Lynn A, Tripathi, Micky, Bates, David W, Simon, Steven R   +7 more
doaj   +1 more source

ROMOP: a light-weight R package for interfacing with OMOP-formatted electronic health record data. [PDF]

, 2019
Objectives:Electronic health record (EHR) data are increasingly used for biomedical discoveries. The nature of the data, however, requires expertise in both data science and EHR structure.
Butte, Atul J, Datta, Debajyoti, Frazier, Remi, Giangreco, Nicholas, Glicksberg, Benjamin S, Larsen, Rick, Lee, Nelson, Oskotsky, Boris, Rudrapatna, Vivek, Tatonetti, Nicholas P, Thangaraj, Phyllis M   +10 more
core  

The Challenge of Handling Structured Missingness in Integrated Data Sources

Advanced Intelligent Discovery, EarlyView.
As data integration becomes ever more prevalent, a new research question that emerges is how to handle missing values that will inevitably arise in these large‐scale integrated databases? This missingness can be described as structured missingness, encompassing scenarios involving multivariate missingness mechanisms and deterministic, nonrandom ...
James Jackson, Marius Hofert, Eleni‐Rosalina Andrinopoulou, Niels Hagenbuch, Sarah McGough, Chris Harbron, Robin Mitra   +6 more
wiley   +1 more source

Report on the EHCR (Deliverable 26.1) [PDF]

, 2005
The challenge of richly interpreting electronic health information, in order to populate EHR instances with suitable terms, to provide decision support in the care of individuals, to identify suitable patients for teaching or clinical trials ...
Kalra, D.
core  

Machine Learning‐Enhanced Random Matrix Theory Design for Human Immunodeficiency Virus Vaccine Development

Advanced Intelligent Discovery, EarlyView.
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah, Muhammad Zulqarnain Zeb, Muhammad Husnain Zeb, Babar Shabbir   +3 more
wiley   +1 more source

Characterizing electronic health record usage patterns of inpatient medicine residents using event log data.

PLoS ONE, 2019
Amid growing rates of burnout, physicians report increasing electronic health record (EHR) usage alongside decreasing clinical facetime with patients.
Jason K Wang, David Ouyang, Jason Hom, Jeffrey Chi, Jonathan H Chen   +4 more
doaj   +1 more source

OntONeo: The Obstetric and Neonatal Ontology [PDF]

, 2016
This paper presents the Obstetric and Neonatal Ontology (OntONeo). This ontology has been created to provide a consensus representation of salient electronic health record (EHR) data and to serve interoperability of the associated data and information ...
Almeida, Mauricio, Elkin, Peter, Farinelli, Fernanda, Smith, Barry   +3 more
core  

Improving Palliative Care with Deep Learning

, 2017
Improving the quality of end-of-life care for hospitalized patients is a priority for healthcare organizations. Studies have shown that physicians tend to over-estimate prognoses, which in combination with treatment inertia results in a mismatch between ...
Avati, Anand, Downing, Lance, Harman, Stephanie, Jung, Kenneth, Ng, Andrew, Shah, Nigam H.   +5 more
core   +1 more source