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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

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

Are Medical Informatics and Nursing Informatics Distinct Disciplines?: The 1999 ACMI Debate

Daniel R. Masys, Patricia Brennan, Judy G. Ozbolt, M Corn et al. • Journal of the American Medical Informatics Association (2000)

The 1999 debate of the American College of Medical Informatics focused on the proposition that medical informatics and nursing informatics are distinctive disciplines that require their own core curricula, training programs, and professiona...

OPENALEX Open Access DOI: https://doi.org/10.1136/jamia.2000.0070304 PMC: 61434

Ontology Technology in Medical Informatics

Hong Gee Kim, Myeng Ki Kim • Journal of Korean Society of Medical Informatics (2003)

The main purpose of this paper is to overview the current issues in the area of medical ontology. Ontology technology in Medical Informatics is evolved from the three different research areas: namely, web application for the Semantic Web, K...

OPENALEX DOI: https://doi.org/10.4258/jksmi.2003.9.3.213

Медицинская информатика [Medical Informatics]

B.A. Kobrinsky, T.V. Zarubina • Zenodo (CERN European Organization for Nuclear Research) (2012)

A 2009 Russian-language textbook by Boris A. Kobrinsky and Tatyana V. Zarubina on medical informatics. The book covers the principles and methods of information technology in medicine, including medical information systems, biomedical data ...

OPENALEX cc-by DOI: https://doi.org/10.5281/zenodo.21930521

Medical Informatics/Computers in Medicine

Donald A. B. Lindberg • JAMA (1986)

Quietly over the past 25 years, the field of medical informatics has been emerging as a distinct disciplinary area that provides the scientific and theoretical basis for current and future practical applications of computers and automated i...

OPENALEX DOI: https://doi.org/10.1001/jama.1986.03380150130044

Data Mining Techniques in Medical Informatics

U. Rajendra Acharya, Wenwei Yu • The Open Medical Informatics Journal (2010)

The advent of high-performance computing has benefited various disciplines in finding practical solutions to their problems, and our health care is no exception to this.Signal processing, image processing, and data mining tools have been de...

OPENALEX cc-by-nc DOI: https://doi.org/10.2174/1874431101004010021 PMC: 2916206

Medical informatics education.

Nicos Maglaveras • PubMed (1998)

Medical Informatics is a multidisciplinary field, dealing mainly with informatics and technology applications in health care. Medical Informatics is composed from a number of sub-areas such as computer based patient record (CPR), processing...

OPENALEX DOI: https://doi.org/10.3233/978-1-60750-900-4-135

Fast Healthcare Interoperability Resources (FHIR) for Interoperability in Health Research: Systematic Review

Carina Nina Vorisek, Moritz Lehne, Sophie Anne Ines Klopfenstein, Paula Josephine Mayer et al. • JMIR Medical Informatics (2022)

BackgroundThe standard Fast Healthcare Interoperability Resources (FHIR) is widely used in health information technology. However, its use as a standard for health research is still less prevalent. To use existing data sources more efficien...

DOAJ Open Access (DOAJ) DOI: 10.2196/35724

Real-World Evaluation of AI-Driven Diabetic Retinopathy Screening in Public Health Settings: Validation and Implementation Study

Mona Duggal, Anshul Chauhan, Vishali Gupta, Ankita Kankaria et al. • JMIR Medical Informatics (2025)

Abstract BackgroundArtificial intelligence (AI) algorithms offer an effective solution to alleviate the burden of diabetic retinopathy (DR) screening in public health settings. However, there are challenges in translating diagno...

DOAJ Open Access (DOAJ) DOI: 10.2196/67529

Mobile health approaches to disease surveillance in Africa; Wellvis COVID triage tool

Ayomide Owoyemi, Ron Ikpe, Mariam Toye, Ayesan Rewane et al. • Digital Health (2021)

COVID-19 has rapidly spread across the globe and was declared a pandemic by the World Health Organization (WHO). The COVID-19 infection continues to spread across Africa. In Africa, mobile phone applications have been used for the surveilla...

DOAJ Open Access (DOAJ) DOI: 10.1177/2055207621996876

Medical informatics in the new millennium.

M. J. Ball, Judith V. Douglas • PubMed (1998)

In a period of social transformation, we must reinvent health care. For guidance, we can look to the evolving discipline of medical informatics and to the patterns of investment in the practice arena. A top ranked application need, the comp...

OPENALEX DOI: https://doi.org/10.3233/978-1-60750-896-0-1176