International Journal of Medical Informatics
Overview
The International Journal of Medical Informatics is a leading scholarly publication that focuses on the intersection of healthcare and information technology. It covers a wide range of topics including electronic health records, telemedicine, health information exchange, clinical decision support systems, and data analytics. The journal provides a platform for researchers, practitioners, and policymakers to share innovative research and advancements in medical informatics, ultimately aiming to improve healthcare delivery and patient outcomes.
Details
Details
Abbr.
Int J Med Inform
Start
1997
End
Continuing
Frequency
Monthly
p-ISSN
1386-5056
e-ISSN
1872-8243
Country
Ireland
Language
English
Specialty
Medical Informatics
Metrics
Metrics
h-index / Ranks: 1957
129
SJR / Ranks: 3180
1110
CiteScore / Ranks: 1607
9.50
JIF / Ranks: 1632
4.9
Recent Articles
1.
Luo X, Li B, Zhu R, Tai Y, Wang Z, He Q, et al.
Int J Med Inform
. 2025 Mar;
198:105874.
PMID: 40073651
Background: Timely and accurate outcome prediction is essential for clinical decision-making for ischemic stroke patients in the intensive care unit (ICU). However, the interpretation and translation of predictive models into...
2.
Zhang Y, Liu H, Huang Q, Qu W, Shi Y, Zhang T, et al.
Int J Med Inform
. 2025 Mar;
198:105875.
PMID: 40073650
Background: Machine learning (ML) models have been constructed to predict the risk of in-hospital mortality in patients with myocardial infarction (MI). Due to diverse ML models and modeling variables, along...
3.
Cresswell K, Hinder S, Williams R
Int J Med Inform
. 2025 Mar;
198:105868.
PMID: 40073649
Background: Hospitals increasingly implement complex electronic health record (EHR) systems to improve quality, safety and efficiency. Whilst many aspects surrounding implementation and adoption processes have been researched, the benefits of...
4.
Kasbgar R, Vard A
Int J Med Inform
. 2025 Mar;
198:105869.
PMID: 40068250
Background And Objective: In the traditional diagnostic process for multiple myeloma cancer, a pathologist screens prepared blood samples using a microscope to detect, classify, and count plasma cells. This manual...
5.
Vos G, Ebrahimpour M, van Eijk L, Sarnyai Z, Azghadi M
Int J Med Inform
. 2025 Mar;
198:105859.
PMID: 40056845
Introduction: The use of low-cost, consumer-grade wearable health monitoring devices has become increasingly prevalent in mental health research, including stress studies. While cortisol response magnitude remains the gold standard for...
6.
Yismaw M, Tafere C, Tefera B, Demsie D, Feyisa K, Addisu Z, et al.
Int J Med Inform
. 2025 Mar;
198:105858.
PMID: 40043515
Aims: Several Artificial Intelligence (AI) based predictive tools have been developed to predict non-adherence among patients with type 2 diabetes (T2D). Hence, this study aimed to describe and evaluate the...
7.
Peracchio L, Nicora G, Parimbelli E, Buonocore T, Tavazzi E, Bergamaschi R, et al.
Int J Med Inform
. 2025 Mar;
197:105857.
PMID: 40037268
Objectives: AI/ML advancements have been significant, yet their deployment in clinical practice faces logistical, regulatory, and trust-related challenges. To promote trust and informed use of ML predictions in real-world scenarios,...
8.
Vickers A, Hollingsworth A, Bozzo A, Chatterjee A, Chatterjee S
Int J Med Inform
. 2025 Feb;
197:105844.
PMID: 40020442
Net benefit is the most widely used metric for evaluating the clinical utility of medical prediction models. The approach applies decision analytic theory to weight true and false positives depending...
9.
Hu H, Zhao Y, Sun C, Wu Q, Deng Y, Liu J
Int J Med Inform
. 2025 Feb;
197:105845.
PMID: 40015152
Background: The 30-day hospital readmission rate is a key indicator of healthcare quality and system efficiency. This study aimed to develop machine-learning (ML) models to predict unplanned 30-day readmissions in...
10.
Trojanowski M, Michalek I, Kubiak A, Taraszkiewicz L, Kycler W
Int J Med Inform
. 2025 Feb;
197:105821.
PMID: 39999765
Background: The International Classification of Diseases (ICD) is a cornerstone in medical data standardisation worldwide. The newly released ICD-11, with its updated chapter on neoplasms, is expected to revolutionise cancer...