Medical informatics meets medical education
https://doi.org/10.1001/jama.273.13.1061
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https://doi.org/10.1001/jama.273.13.1061
OBJECTIVE: To provide guidance on the future development and role of medical informatics, or biomedical and health informatics, in form of reflections. METHOD: To report on the author's previous activities as a medical informatician, which ...
https://doi.org/10.1055/s-0043-1768716
PMC: 10751126
Electronic health record (EHR) generates a large amount of data filled with opportunities to enhance documentation compliance, quality improvement, and other metrics. Various software tools exist, but many clinicians are unaware of them. Ou...
https://doi.org/10.7759/cureus.40208
PMC: 10331897
https://doi.org/10.1016/j.jbi.2003.09.003
Medical Informatics embodies two rather broad domains: “medical” and “informatics.” As described by the American Medical Informatics Association, “Medical informatics has to do with all aspects of understanding and promoting the effective o...
3399262
Abstract: Medical informatics, as a separate medical discipline, is quickly developing in our country, both in Bosnia and Herzegovina. In our country, medical informatics has been a separate subject for the last ten years with regard to Med...
https://doi.org/10.1055/s-0038-1638193
BackgroundUntil recently, developing health technologies was time-consuming and expensive, and often involved patients, doctors, and other health care professionals only as passive recipients of the end product. So far, users have been mini...
10.2196/17004
Abstract Background The oral health of Indigenous children in remote communities is much worse than other population groups in Australia. Providing and maintaining an oral health service is challenging due to the remoteness of communities, ...
10.1186/s12955-020-01300-8
Background/Objectives: Liver cirrhosis (LC) is a major cause of morbidity and mortality requiring continuous monitoring and early recognition of clinical deterioration. Home telemonitoring is increasingly considered a supportive strategy fo...
10.3390/diagnostics16162635
Background: The sleep quality of medical staff was severely affected during COVID-19, but the factors influencing the sleep quality of frontline staff involved in medical assistance remained unclear, and screening tools for their sleep qual...
10.1177/20552076241287363
Phosphorus (P) runoff from agricultural land plays a critical role in downstream water quality. This article summarizes P and sediment runoff data for both snowmelt and rainfall runoff from 30 arable fields in the Canadian provinces of Sask...
10.1016/j.dib.2021.107405
Abstract Background Population aging is an inevitable trend and previous studies have showed the relationship between social health related factors and health-related quality of life (HR-QOL) in the elderly. The objective of this study is t...
10.1186/s12955-020-01358-4
BackgroundClinical decision support (CDS) is a tool that helps clinicians in decision making by generating clinical alerts to supplement their previous knowledge and experience. However, CDS generates a high volume of irrelevant alerts, res...
10.2196/22013
Calcium/calmodulin-dependent kinase kinase 2 (CaMKK2) has been implicated in a range of conditions and pathologies from prostate to hepatic cancer. Here, we describe the expression in Escherichia coli and the purification protocol for the f...
10.1016/j.dib.2016.06.033
Objectives To develop and evaluate a machine learning (ML) model that predicts Crohn’s disease (CD) patients responsible for the top quartile of healthcare spending.Methods De-identified commercial claims (2016–2018) from ~267 000 continuou...
10.1136/bmjhci-2025-101761
10.3389/frdem.2025.1722518
Abstract Background Statistical bioinformatics is the study of biological data sets obtained by new micro-technologies by means of proper statistical methods. For a better understanding of environmental adaptations of proteins, orthologous ...
10.1186/1471-2105-11-573
Background: Regular training for healthcare professionals in newborn life support is life-saving. Web-based refresher has the potential to be non-inferior to simulation-based refresher training. Methods: The multicenter non-inferiority rand...
10.1016/j.resplu.2026.101382
This paper contains datasets related to the “Efficient Deep Learning Models for Categorizing Chenopodiaceae in the wild” (Heidary-Sharifabad et al., 2021). There are about 1500 species of Chenopodiaceae that are spread worldwide and often a...
10.1016/j.dib.2021.107478