Health and Technology

Aims & Scope

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 viceversa.

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.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	2.8
2024	3.10

Journal Rank

Year	Value
2024	8100

Journal Citation Indicator

Year	Value
2024	1433

SJR (SCImago Journal Rank)

Year	Value
2024	0.700

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	39

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science
• Embase

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Biochemistry, Genetics and Molecular Biology, Chemical Engineering, Engineering and Immunology and Microbiology, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Google DeepMind and healthcare in an age of algorithms

  Citation: 353

  Authors: Julia, Hal

• Nanocomposites: a brief review

  Citation: 332

  Authors: Enisa, Almir, Anera, Muhamed

• Artificial Intelligence Applied to clinical trials: opportunities and challenges

  Citation: 188

  Authors: Scott, Denis, Gilda, Samar

• Artificial intelligence in disease diagnostics: A critical review and classification on the current state of research guiding future direction

  Citation: 185

  Authors: Milad, Stefan, Nicholas R. J.

• Machine Learning Techniques for Heart Disease Prediction: A Comparative Study and Analysis

  Citation: 167

  Authors: Rahul, Sunit Kumar

• Application of telemedicine and eHealth technology for clinical services in response to COVID‑19 pandemic

  Citation: 166

  Authors: Anthony Jnr.

• Digital transformation in the area of health: systematic review of 45 years of evolution

  Citation: 159

  Authors: Isabel C. P., João J. M.

• Semantic interoperability in health records standards: a systematic literature review

  Citation: 132

  Authors: Blanda Helena, Sandro José, Cristiano André, Rodrigo, Bruna, Marta Rosecler, Luana Carina

• Healthcare scheduling in optimization context: a review

  Citation: 128

  Authors: Zahraa A., Amiza, Mohammed Azmi, Phaklen, Abdelaziz I.

• Heart disease classification using data mining tools and machine learning techniques

  Citation: 115

  Authors: Ilias, Abdelilah, Jamal

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