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Research and Reviews : A Journal of Medical Science and Technology Cover

Research and Reviews : A Journal of Medical Science and Technology

E-ISSN: 2319-3417 | P-ISSN: 2349-1272 | Peer-Reviewed Journal (Refereed Journal) | Hybrid Open Access

About the Journal

Research and Reviews : A Journal of Medical Science and Technology [2319-3417(e)] is a peer-reviewed hybrid open access journal launched in 2012 and focused on the publication of current research work carried out under Medical Science and Technology. This journal covers all major fields of applications and advances in basic, translational, and clinical research in Medical Science and Technology. RRJoMST is now an open platform to publish articles in open access special issues.

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Journal Information

Title: Research and Reviews : A Journal of Medical Science and Technology
Abbreviation: rrjomst
Issues Per Year: 3 Issues
P-ISSN: 2349-1272
E-ISSN: 2319-3417
Publisher: STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd.
DOI: 10.37591/RRJoMST
Starting Year: 2012
Subject: Medical Science and Technology
Publication Format: Hybrid Open Access
Language: English
Copyright Policy: CC BY-NC-ND
Type: Peer-reviewed Journal (Refereed Journal)

Address:

STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd. A-118, 1st Floor, Sector-63, Noida, U.P. India, Pin - 201301

Editorial Board

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rrjomst maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

Editor in Chief

Editor

Dr. Karthikeyan T, Professor

Gurugram University (A Govt University), Haryana, India, 122003

Email :

Latest Articles

Ahead of Print

A Standards-Compliant API Framework for Integrating NAMASTE and ICD-11 TM2 Terminologies into Indian Electronic Medical Records (EMRs)

The lack of standardized, interoperable terminology services has hindered the integration of India’s traditional medical systems into the mainstream digital health infrastructure.

EHR standards, electronic medical records (EMR), health interoperability, traditional medicine informatics, terminology mapping, Restful API, NAMASTE terminology, ICD-11 TM2, FHIR R4

AI-Enhanced EHR System with Intelligent Prescription Processing and Automated Patient Engagement

AI-Enhanced EHR System with Intelligent Prescription Processing and Automated Patient Engagement: A Comprehensive Electronic Health Record and Hospital Management System Healthcare institutions increasingly require digital solutions to manage the growing complexity of patient data, staff coordination, and multi-branch operations.

Electronic health record, hospital management system, intelligent prescription processing, automated patient engagement, Django rest framework

Transforming Healthcare Through Big Data: Applications, Challenges, and Future Perspectives

Healthcare institutions produce substantial amounts of information through electronic health records, laboratory systems, medical imaging technologies, patient monitoring devices, and various digital healthcare platforms.

Big data, healthcare systems, data analytics, disease prediction, personalized treatment, data mining, healthcare management, medical data processing

Digital Therapeutics for Management of Chronic Diseases

Digital therapeutics (DTx) mark a major advancement in modern medicine, using advanced software technologies to deliver clinically validated treatments for various physical and mental health conditions.

DTx , Technology , AI , Machine Learning , Chronic Diseases

Early Pregnancy Levels of Fasting Glucose, HbA1c, and Adiponectin as Predictors of Gestational Diabetes Mellitus Among Pregnant Women in Tamil Nadu, India

Gestational diabetes mellitus (GDM) is rapidly becoming a major public health issue across India, and Tamil Nadu continues to report some of the country’s highest incidence figures.

Gestational diabetes mellitus, fasting plasma glucose, HbA1c, adiponectin, pregnancy screening

Automated Healthcare Support System with AI

The Automated Healthcare Support System with Artificial Intelligence (AI) presents a smart and scalable digital solution aimed at improving the accessibility and efficiency of healthcare services.

Artificial Intelligence, Healthcare Assistant, Machine Learning, Natural Language Processing, Symptom Evaluation, Telemedicine, Digital Healthcare