Health and Technology is the first truly cross-disciplinary journal on issues related to health technologies addressing all professions relating to health, care and health technology.
The journal constitutes an information platform connecting medical technology and informatics with the needs of care, health care professionals and patients. Thus, medical physicists and biomedical/clinical engineers are encouraged to write articles not only for their colleagues, but directed to all other groups of readers as well, and vice versa.
By its nature, the journal presents and discusses hot subjects including but not limited to patient safety, patient empowerment, disease surveillance and management, e-health and issues concerning data security, privacy, reliability and management, data mining and knowledge exchange as well as health prevention. The journal also addresses the medical, financial, social, educational and safety aspects of health technologies as well as health technology assessment and management, including issues such security, efficacy, cost in comparison to the benefit, as well as social, legal and ethical implications.
This journal is a communicative source for the health work force (physicians, nurses, medical physicists, clinical engineers, biomedical engineers, hospital engineers, etc.), the ministries of health, hospital management, self-employed doctors, health care providers and regulatory agencies, the medical technology industry, patients' associations, universities (biomedical and clinical engineering, medical physics, medical informatics, biology, medicine and public health as well as health economics programs), research institutes and professional, scientific and technical organizations.
Health and Technology is jointly published by Springer and the IUPESM (International Union for Physical and Engineering Sciences in Medicine) in cooperation with the World Health Organization.
- First truly cross-disciplinary journal for the professional groups involved into health technologies
- Medical and scientific research professionals write articles not only for their colleagues, but directed to all other groups of readers as well, and vice versa.
- Official Journal of the IUPSEM (International Union for Physical and Engineering Sciences in Medicine)
- Magdalena Stoeva
- Publishing model
- Hybrid. Open Access options available
- 61 days
- Submission to first decision
- 176 days
- Submission to acceptance
- 67,238 (2019)
This is part of 1 collection:
Authors (first, second and last of 4)
Machine learning models for the prediction of acuity and variability of eye-positioning using features extracted from oculography
Authors (first, second and last of 6)
Authors (first, second and last of 6)
As a result of the significant disruption that is being caused by the COVID-19 pandemic we are very aware that many researchers will have difficulty in meeting the timelines associated with our peer review process during normal times. Please do let us know if you need additional time. Our systems will continue to remind you of the original timelines but we intend to be highly flexible at this time.
Enjoy free access to this selection of key articles from the journal by the Editor-in-Chief of Health and Technology.
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