Women Researcher Award
Ghada Alfattnii — Umm Alqura University
Ghada Alfattnii is a researcher affiliated with Umm Alqura University in Saudi Arabia whose stated subject area is the application of artificial intelligence (AI) in healthcare. This academic recognition profile presents the researcher’s institutional affiliation, research area, scholarly identifiers, potential research contributions, and relevance to the Women Researcher Award associated with the Business Global Awards. Bibliographic and researcher-identification information should be interpreted according to the records maintained by the respective scholarly platforms. [1]
Abstract
The Women Researcher Award profile for Ghada Alfattnii highlights a research identity associated with Umm Alqura University and the application of artificial intelligence in healthcare. AI-based healthcare research encompasses the investigation and development of computational approaches that may support clinical decision-making, health data interpretation, medical research, and healthcare delivery. The researcher is identified through a Scopus author identifier and an ORCID identifier, providing persistent mechanisms for distinguishing scholarly records and professional research activities. [1] [2]
Keywords
- Artificial intelligence in healthcare
- Healthcare informatics
- Machine learning
- Clinical decision support
- Medical data analysis
- Digital health
- Umm Alqura University
- Women researchers
Introduction
Artificial intelligence has become an important research area in healthcare, where computational methods are investigated for applications involving medical information, clinical support, prediction, classification, and healthcare-related decision processes. The interdisciplinary character of this field connects computer science with medicine, health informatics, statistics, and related scientific disciplines. [3]
Within this context, Ghada Alfattnii is associated with research concerning the application of AI in healthcare. Her institutional affiliation is Umm Alqura University in Saudi Arabia, while her scholarly identity is additionally represented by Scopus author ID 56514177100 and ORCID 0009-0005-0963-2105. These identifiers can assist in distinguishing research outputs from similarly named authors and in maintaining continuity across scholarly communication systems. [1] [2]
Research Profile
The available profile information places Ghada Alfattnii within the research area of AI applications in healthcare. This area includes computational approaches designed to process and interpret healthcare information and may involve machine learning, intelligent decision-support systems, predictive modelling, medical image processing, and other data-driven methods. The precise scope of an individual researcher’s work should be established from the researcher’s verified publications and institutional or bibliographic records rather than inferred solely from a subject-area label. [1] [3]
Research Contributions
Research in AI-enabled healthcare can contribute to the development of computational methods for handling complex health information and supporting evidence-based processes. Depending on the specific application, such work may address prediction, classification, clinical decision support, medical diagnostics, patient monitoring, or optimization of healthcare workflows. [3] [4]
For an individual researcher, contributions should be evaluated through documented scholarly outputs, methodological quality, reproducibility, research relevance, and the significance of findings within the applicable scientific community. In the case of Ghada Alfattnii, the stated research focus provides a basis for considering work related to AI in healthcare, while individual contribution claims should remain aligned with verified publication records. [1]
- Investigation of artificial intelligence methods for healthcare-related applications.
- Potential integration of computational methods with health and medical information.
- Interdisciplinary research connecting AI techniques with healthcare requirements.
- Contribution to scholarly discussion concerning responsible and evidence-based use of AI in healthcare.
Publications
The supplied profile information identifies a Scopus author record but does not provide a verified publication list, document count, citation count, or h-index. Accordingly, no specific publication titles or bibliometric values are attributed to the researcher in this article without independent verification. Scopus provides author-level bibliographic information, while ORCID provides a persistent identifier that can be connected to research outputs and other scholarly activities. [1] [2]
For formal award assessment, publication information should be cross-checked against the researcher’s institutional profile, Scopus author record, ORCID record, and relevant publisher or journal pages. Where available, DOI metadata can provide a persistent route to individual scholarly publications. [5]
Research Impact
The potential impact of AI research in healthcare is closely connected to the quality, validity, clinical relevance, and responsible implementation of the resulting methods. Healthcare AI may support research and practice when systems are appropriately validated and used within suitable clinical, technical, ethical, and regulatory contexts. International guidance emphasizes the importance of safety, transparency, accountability, and human oversight when AI is applied to health-related settings. [3] [4]
For recognition purposes, research impact can be assessed through documented scholarly influence, publication quality, citations, collaborations, practical applications, methodological contributions, and broader contributions to the scientific community. Since verified bibliometric values were not supplied for this profile, the article does not assign numerical impact measures.
Award Suitability
The Women Researcher Award provides a recognition framework in which a researcher’s academic background, research specialization, scholarly contributions, and broader research relevance may be considered. Ghada Alfattnii’s stated specialization in the application of AI in healthcare is relevant to an interdisciplinary research environment where computational innovation intersects with healthcare and medical research.
Suitability for an award should ultimately be determined according to the official eligibility requirements, evaluation criteria, submission information, and documented evidence requested by the awarding organization. The Business Global Awards website is therefore the appropriate source for current event-specific requirements and procedures. [6]
| Assessment Dimension |
Relevant Profile Evidence |
| Research specialization |
Application of AI in healthcare |
| Institutional affiliation |
Umm Alqura University |
| Research identification |
Scopus Author ID 56514177100 |
| Persistent researcher identity |
ORCID 0009-0005-0963-2105 |
| Award context |
Business Global Awards |
Conclusion
Ghada Alfattnii is identified in the supplied profile as a researcher affiliated with Umm Alqura University in Saudi Arabia, with a stated research focus on the application of artificial intelligence in healthcare. Her Scopus and ORCID identifiers provide established mechanisms for scholarly identity and record discovery. [1] [2]
The research area is relevant to contemporary interdisciplinary work connecting artificial intelligence with healthcare. Any final assessment of scholarly achievement, publication impact, or award eligibility should be based on verified records and the current official criteria of the relevant award organization. [3] [6]
External Links
References
- Elsevier. (n.d.). Scopus author details: Ghada Alfattnii, Author ID 56514177100. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=56514177100
- ORCID. (n.d.). ORCID record: Ghada Alfattnii, ORCID 0009-0005-0963-2105. ORCID.
https://orcid.org/0009-0005-0963-2105
- World Health Organization. (2021). Ethics and governance of artificial intelligence for health: WHO guidance. World Health Organization.
https://www.who.int/publications/i/item/9789240029200
- World Health Organization. (2023). Regulatory considerations on artificial intelligence for health. World Health Organization.
https://www.who.int/publications/i/item/9789240079119
- Crossref. (n.d.). Metadata and DOI registration services. Crossref.
https://www.crossref.org/