The DOI matches its Crossref record.
IMIA Educational Recommendations and Nursing Informatics
Abstract
The updated version of the IMIA educational recommendations has given an adequate guidelines platform for developing educational programs in Biomedical and Health Informatics at all levels of education, vocational training, and distance learning. This chapter will provide a brief introduction of the recommendations pinpointing aspects for developing and assessing educational programs. We will provide a review of the existing feedback we have acquired during the IMIA site visits of accrediting educational programs at a worldwide level and discuss implementations issues. A brief overview of existing academic programs in Europe, North America and in other regions, especially for programs related to Nursing and to Nursing Informatics is provided. Finally, we will draw conclusions as how the IMIA recommendations may be required to be fitted into the specific needs of the Nursing Informatics and the needs of the Nursing professionals when they apply the recommendations to their academic and/or hospital/professional environments.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“a significant current challenge is that many nursing educational programmes—both in entry‐level nursing education and continuing education of professional nurses—do not have enough expertise in teaching health informatics and AI technologies (Cummins et al., 2016; Mantas & Hasman, 2017) to effectively address this gap in AI understanding.”
From Artificial intelligence in nursing: Priorities and opportunities from an international invitational think‐tank of the Nursing and Artificial Intelligence Leadership Collaborative (2021) · cites this paper as Mantas & Hasman, 2017
Citations
Cites
Still being checked.
Cited by
Sorted by citations
Ronquillo, C. E., Peltonen, L., Pruinelli, L., Chu, C. H., Bakken, S., Beduschi, A., Cato, K., Hardiker, N., Junger, A., Michalowski, M., et al. (2021) · Journal of Advanced Nursing · doi:10.1111/jan.14855 · Cited by 453
O’Connor, S., & LaRue, E. M. (2020) · Nurse Education in Practice · doi:10.1016/j.nepr.2020.102934 · Cited by 66
Core competencies for clinical informaticians: A systematic review
Davies, A., Mueller, J., & Moulton, G. (2020) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2020.104237 · Cited by 53
Sapci, A. H., & Sapci, H. A. (2020) · JMIR Medical Informatics · doi:10.2196/15748 · Cited by 50
Digital professionalism on social media: The opinions of undergraduate nursing students
O’Connor, S., Odewusi, T., Smith, P. M., & Booth, R. G. (2022) · Nurse Education Today · doi:10.1016/j.nedt.2022.105322 · Cited by 47
Metadata
- Authors
- John, M., & Arie, H.
- Venue
- Studies in Health Technology and Informatics
- Publisher
- IOS Press
- Published
- 2017
- Volume
- 232
- Pages
- 20-30
- ISSN
- 0926-9630 (ISSN-L)
- OpenAlex
- W2780254412
- Cited by
- 20
- References
- 0
- Citations by year
- 2025: 1 · 2024: 6 · 2023: 2 · 2022: 2 · 2021: 1 · 2020: 6 · 2019: 1 · 2017: 1
- FWCI
- 8.06
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Studies in health technology and informatics (publishedVersion)
- PubMed (publishedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Pure Amsterdam UMC (submittedVersion)
- PubMed
- Topics
- Physical Sciences › Computer Science › Information Systems › Information Systems Education and Curriculum Development
- Health Sciences › Health Professions › General Health Professions › Health and Medical Education
- Social Sciences › Education › Innovations in Medical Education
- Keywords
- nursing informatics, health informatics education, biomedical informatics education, educational program accreditation, program evaluation, nursing education, distance education, vocational education
- MeSH terms
- Europe, Humans, Medical Informatics, North America, Education, Distance, Nursing Informatics
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
