Bmc Medical Informatics and Decision Making
Overview
BMC Medical Informatics and Decision Making is a peer-reviewed open-access journal that focuses on the intersection of medical informatics and decision-making processes in healthcare. It publishes research articles, reviews, and case studies exploring the use of information technology, data analytics, and decision support systems to improve healthcare delivery, patient outcomes, and clinical decision-making. The journal aims to foster collaboration between researchers, clinicians, and policymakers to advance the field of medical informatics and enhance evidence-based decision-making in healthc
Details
Details
Abbr.
BMC Med Inform Decis Mak
Publisher
Biomed Central
Start
2001
End
Continuing
e-ISSN
1472-6947
Country
United Kingdom
Language
English
Specialty
Medical Informatics
Metrics
Metrics
h-index / Ranks: 3275
97
SJR / Ranks: 3803
1002
CiteScore / Ranks: 3626
6.20
JIF / Ranks: 2766
3.5
Recent Articles
1.
Fang M, Pan C, Yu X, Li W, Wang B, Zhou H, et al.
BMC Med Inform Decis Mak
. 2025 Mar;
25(1):131.
PMID: 40087711
Hyperuricemia has seen a continuous increase in incidence and a trend towards younger patients in recent years, posing a serious threat to human health and highlighting the urgency of using...
2.
Zaky H, Fthenou E, Srour L, Farrell T, Bashir M, El Hajj N, et al.
BMC Med Inform Decis Mak
. 2025 Mar;
25(1):130.
PMID: 40082942
Background: Gestational Diabetes Mellitus (GDM) is one of the most common medical complications during pregnancy. In the Gulf region, the prevalence of GDM is higher than in other parts of...
3.
Abu Attieh H, Muller A, Wirth F, Prasser F
BMC Med Inform Decis Mak
. 2025 Mar;
25(1):128.
PMID: 40075358
Background: Pseudonymization is an important technique for the secure and compliant use of medical data in research. At its core, pseudonymization is a process in which directly identifying information is...
4.
Halilovic M, Meurers T, Otte K, Prasser F
BMC Med Inform Decis Mak
. 2025 Mar;
25(1):129.
PMID: 40075355
Background: Sharing health data holds great potential for advancing medical research but also poses many challenges, including the need to protect people's privacy. One approach to address this is data...
5.
Huang G, Zhu W, Wang Y, Wan Y, Chen K, Su Y, et al.
BMC Med Inform Decis Mak
. 2025 Mar;
25(1):127.
PMID: 40069777
Objective: This study was designed to establish a diagnostic model for osteoporosis by collecting clinical information from patients with and without osteoporosis. Various machine learning algorithms were employed for training...
6.
Haimerl M, Reich C
BMC Med Inform Decis Mak
. 2025 Mar;
25(1):126.
PMID: 40069689
Background: In the future, more medical devices will be based on machine learning (ML) methods. In general, the consideration of risks is a crucial aspect for evaluating medical devices. Accordingly,...
7.
Sullivan B, Barker E, MacGregor L, Gorman L, Williams P, Bhamber R, et al.
BMC Med Inform Decis Mak
. 2025 Mar;
25(1):123.
PMID: 40065374
Purpose: Assessing risk factors and creating prediction models from real-world medical data is challenging, requiring numerous modelling decisions with clinical guidance. Logistic regression is a common model for such studies,...
8.
Bennis I, Mouwafaq S
BMC Med Inform Decis Mak
. 2025 Mar;
25(1):124.
PMID: 40065373
Background: As part of qualitative research, the thematic analysis is time-consuming and technical. The rise of generative artificial intelligence (A.I.), especially large language models, has brought hope in enhancing and...
9.
Scherer K, Budenbender B, Blum A, Grune B, Kriegmair M, Michel M, et al.
BMC Med Inform Decis Mak
. 2025 Mar;
25(1):120.
PMID: 40065322
Background: Shared decision-making (SDM) is the gold standard for patient-clinician interaction, yet many patients are not actively involved in medical consultations and hesitate to engage in decisions on their health....
10.
Schilling L, Kaden J, Ban I, Berger-Hoger B
BMC Med Inform Decis Mak
. 2025 Mar;
25(1):125.
PMID: 40065302
Background: Many patients with cancer want to be involved in healthcare decisions. For adequate participation, awareness of one's own desires and preferences and sufficient knowledge about medical measures are indispensable....