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Reflections Towards the Future of Medical Informatics

Reinhold Haux • Yearbook of Medical Informatics (2023)

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 ...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1055/s-0043-1768716 PMC: 10751126

SAP BusinessObjects in Medical Informatics

Iwan Sofjan, Irim Salik, Peter Panzica • Cureus (2023)

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...

OPENALEX cc-by DOI: https://doi.org/10.7759/cureus.40208 PMC: 10331897

Medical informatics: where are we in 2002?

Lynn R. Witherspoon • PubMed Central (2002)

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...

OPENALEX Open Access PMC: 3399262

Hackathons as Stepping Stones in Health Care Innovation: Case Study With Systematic Recommendations

Poncette, Akira-Sebastian, Rojas, Pablo-David, Hofferbert, Joscha, Valera Sosa, Alvaro et al. • Journal of Medical Internet Research (2020)

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...

DOAJ Open Access (DOAJ) DOI: 10.2196/17004

Demonstration of high value care to improve oral health of a remote Indigenous community in Australia

Sanjeewa Kularatna, Ratilal Lalloo, Jeroen Kroon, Santosh K. K. Tadakamadla et al. • Health and Quality of Life Outcomes (2020)

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, ...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12955-020-01300-8

Assessing Acceptance and Intention to Use of Home Telemonitoring Among Patients with Liver Cirrhosis: Development and Initial Psychometric Validation of a TAM-Based Questionnaire

Ruxandra-Cristina Marin, Horia Păunescu, Călin Muntean, Daniel Vasile Balaban et al. • Diagnostics (2026)

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...

DOAJ Open Access (DOAJ) DOI: 10.3390/diagnostics16162635

Artificial neural network–based model for sleep quality prediction for frontline medical staff during major medical assistance

Qingquan Chen, Zeshun Chen, Xi Zhu, Jiajing Zhuang et al. • Digital Health (2024)

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...

DOAJ Open Access (DOAJ) DOI: 10.1177/20552076241287363

Phosphorus runoff from Canadian agricultural land: A dataset for 30 experimental fields

Jian Liu, Jane A. Elliott, Henry F. Wilson, Merrin L. Macrae et al. • Data in Brief (2021)

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...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dib.2021.107405

Association between social health status and health-related quality of life among community-dwelling elderly in Zhejiang

Jieming Lu, Zhebin Yu, Xiaocong Zhang, Mengyin Wu et al. • Health and Quality of Life Outcomes (2020)

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...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12955-020-01358-4

Reducing Alert Fatigue by Sharing Low-Level Alerts With Patients and Enhancing Collaborative Decision Making Using Blockchain Technology: Scoping Review and Proposed Framework (MedAlert)

Wan, Paul Kengfai, Satybaldy, Abylay, Huang, Lizhen, Holtskog, Halvor et al. • Journal of Medical Internet Research (2020)

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...

DOAJ Open Access (DOAJ) DOI: 10.2196/22013

Data for the co-expression and purification of human recombinant CaMKK2 in complex with calmodulin in Escherichia coli

Lisa Gerner, Steffi Munack, Koen Temmerman, Ann-Marie Lawrence-Dörner et al. • Data in Brief (2016)

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...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dib.2016.06.033

Machine learning framework for early identification of high-spending Crohn’s disease patients using administrative claims

Jamieson D Gray, Lukasz S Wylezinski, Charles F Spurlock • BMJ Health & Care Informatics (2026)

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...

DOAJ Open Access (DOAJ) DOI: 10.1136/bmjhci-2025-101761

Web-based versus simulation-based refresher training in newborn life support

Kathleen Parthey, Anne Goldhahn, Anselm Linke, Katja Raberger et al. • Resuscitation Plus (2026)

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...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.resplu.2026.101382

ACHENY: A standard Chenopodiaceae image dataset for deep learning models

Ahmad Heidary-Sharifabad, Mohsen Sardari Zarchi, Sima Emadi, Gholamreza Zarei • Data in Brief (2021)

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...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dib.2021.107478