Skip to main content

Primark Consultancy

Scientific Journal of Healthcare and Medical Technology

Email: sjhmt@primarkconsultancy.com

ISSN No: In process

About Journal

The Scientific Journal of Healthcare and Medical Technology (SJHMT) is an open-access, peer-reviewed journal dedicated to research and innovation in advancements pertaining to healthcare, medicine and emerging technologies. The journal provides a multidisciplinary platform for researchers, clinicians, engineers, data scientists, healthcare professionals, and policymakers to publish high-quality research that addresses current challenges to improve healthcare.

The journal promotes scientific excellence, technological innovation, interdisciplinary collaboration and evidence-based healthcare by disseminating impactful research with global relevance. Through a rigorous peer review process, SJHMT aims to promote translation of scientific discoveries into practical healthcare solutions that improve patient outcomes and strengthen the health systems worldwide.

ISSN
Online ISSN

In Process (Application Submitted)

Licence
Open Access License

CC by 4.0 International

Model
Access Model

Gold Open Access – Free to read

Review
Peer-review

Double-Blind

APC
Article Processing Charges

Free untill December 31, 2026

Submit
Submission Link

Editor-in-Chief

Ehab M. Almetwally
Ehab M. Almetwally

Department of Mathematics and Statistics

Imam Mohammad Ibn Saud Islamic University (IMSIU)

Saudi Arabia

Dr. Ehab Mohamed Almetwally is an Assistant Professor of Mathematical Statistics at Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia. Previously, he served as a Lecturer and Assistant Professor (2020-2023) at Delta University for Science and Technology, Egypt. Dr. Almetwally holds a PhD in Statistics from the Faculty of Graduate Studies for Statistical Research (FGSSR), Cairo University in 2023, BSc in Statistics and Insurance from Zagazig University in 2016, followed by MSc in Statistics from FGSSR, Cairo University, in 2019.

His research interests include sstatistical inference and multivariate statistics, reliability modeling, stress-strength reliability and lifetime distributions including Weibull and Rayleigh models. His expertise also includes Bayesian inference and maximum likelihood estimation. With a Scopus h-index of 34 and more than 200 publications in his name, Dr. Almetwally is an esteemed researcher in mathematics and statistics.

For complete editorial board: Click Here

Subject Areas

  • Artificial Intelligence and Computational Healthcare
  • Digital Health and Telemedicine
  • Biomedical Engineering
  • Medical Devices and Biosensors
  • Medical Imaging and Diagnostics
  • Health Informatics and Data Science
  • Precision and Personalized Medicine
  • Biotechnology and Translational Medicine
  • Healthcare Innovation, Policy, and Ethics

Target Audience

The journal invites physicians and clinicians, healthcare professionals, biomedical and clinical engineers, data scientists, researchers in robotics and artificial intelligence, scholars in medical imaging and biomedical informatics and experts in the pharmaceutical industry.

Ethics Statement

SJHMT strictly adheres to the ethical guidelines established by the Committee on Publication Ethics (COPE). We maintain a rigorous peer review process to provide originality, quality, accuracy and scientific integrity. Submitted manuscripts are evaluated to eradicate plagiarism, data fabrication, duplication and falsification and unauthorized authorship.

Editorial Contact

For editorial inquiries, manuscript submissions, publication-related assistance or complaints, please contact sjhmt@primarkconsultancy.com