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Digital health technology and diabetes management

Avivit Cahn, Amit Akirov, Itamar Raz • Journal of Diabetes (2017)

Diabetes care is largely dependent on patient self-management and empowerment, given that patients with diabetes must make numerous daily decisions as to what to eat, when to exercise, and determine their insulin dose and timing if required...

OPENALEX DOI: https://doi.org/10.1111/1753-0407.12606

Exploring barriers and enablers to implementing a digital mental health crisis risk mitigation pathway in acute paediatric care: A multi-site, exploratory mixed-methods study

Takawira C Marufu, Jane Coad, Zaki Albelbisi, Tim Carter et al. • Digital Health (2026)

Objective Children and young people (CYP) presenting in mental health crisis to acute paediatric settings represent a growing clinical and system-level challenge. These environments, primarily designed for physical healthcare, frequently la...

DOAJ Open Access (DOAJ) DOI: 10.1177/20552076261431890

Reducing Alert Fatigue by Sharing Low-Level Alerts With Patients and Enhancing Collaborative Decision Making Using Blockchain Technology: Scoping Review and Proposed Framework (MedAlert)

Wan, Paul Kengfai, Satybaldy, Abylay, Huang, Lizhen, Holtskog, Halvor et al. • Journal of Medical Internet Research (2020)

BackgroundClinical decision support (CDS) is a tool that helps clinicians in decision making by generating clinical alerts to supplement their previous knowledge and experience. However, CDS generates a high volume of irrelevant alerts, res...

DOAJ Open Access (DOAJ) DOI: 10.2196/22013

Deep learning-based multimodal data fusion in bone tumor management: Advances in clinical decision support

Tongtong Huo, Wei Wu, Xiaoliang Chen, Mingdi Xue et al. • Intelligent Oncology (2025)

Bone tumors (BTs)—including osteosarcoma, Ewing sarcoma, and chondrosarcoma—are rare but biologically complex malignancies characterized by pronounced heterogeneity in anatomical location, histological subtype, and molecular alterations. Re...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.intonc.2025.06.005

The Intellectual Structure of Health and Medical Informatics

Wullianallur Raghupathi, Sridhar Nerur • International Journal of Healthcare Information Systems and Informatics (2010)

This paper presents the results of an author co-citation analysis of the health and medical informatics discipline. It updates a smaller study that focused on health information systems. Drawing on such sub-fields as bio informatics, clinic...

OPENALEX DOI: https://doi.org/10.4018/jhisi.2010100102

Medical informatics education.

Nicos Maglaveras • PubMed (1998)

Medical Informatics is a multidisciplinary field, dealing mainly with informatics and technology applications in health care. Medical Informatics is composed from a number of sub-areas such as computer based patient record (CPR), processing...

OPENALEX DOI: https://doi.org/10.3233/978-1-60750-900-4-135

Implementing and Evaluating a National Integrated Digital Registry and Clinical Decision Support System in Early Intervention in Psychosis Services (Early Psychosis Informatics Into Care): Co-Designed Protocol

Siân Lowri Griffiths, Graham K Murray, Yanakan Logeswaran, John Ainsworth et al. • JMIR Research Protocols (2024)

BackgroundEarly intervention in psychosis (EIP) services are nationally mandated in England to provide multidisciplinary care to people experiencing first-episode psychosis, which disproportionately affects deprived and ethnic minority yout...

DOAJ Open Access (DOAJ) DOI: 10.2196/50177

The deep learning applications in IoT-based bio- and medical informatics: a systematic literature review

Zahra Amiri, Arash Heidari, Nima Jafari Navimipour, Mansour Esmaeilpour et al. • Neural Computing and Applications (2024)

Abstract Nowadays, machine learning (ML) has attained a high level of achievement in many contexts. Considering the significance of ML in medical and bioinformatics owing to its accuracy, many investigators discussed multiple solutions for ...

OPENALEX cc-by DOI: https://doi.org/10.1007/s00521-023-09366-3

Integrating machine learning algorithms and explainable artificial intelligence approach for predicting patient unpunctuality in psychiatric clinics

Alireza Kasaie, Suchithra Rajendran • Healthcare Analytics (2023)

This study addresses patient unpunctuality, a major concern affecting patient waiting time, resource utilization, and quality of care. We develop and compare four machine learning models, including multinomial logistic regression, decision ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.health.2023.100242

Future History: Medical Informatics in Geriatrics

Jonathan R. Nebeker, John F. Hurdle, Byron D. Bair • The Journals of Gerontology Series A (2003)

With deference to Isaac Asimov's The Foundation, which is the inspiration for this series, we briefly describe the "present history" of medical informatics (the application of information technology in medicine) in geriatrics, and then proj...

OPENALEX DOI: https://doi.org/10.1093/gerona/58.9.m820

Medical Informatics: Concepts and Applications

Farzaneh Aminpour • E-LIS Repository (University of Naples Federico II) (2004)

Medical Informatics is a developing body of knowledge concerned with the use of information and communication technology in support of medical research, education and also for promoting health care delivery. The field focuses on the biomedi...

OPENALEX Open Access

Argumentation approaches for explanaible AI in medical informatics

Luciano Caroprese, Eugenio Vocaturo, Ester Zumpano • Intelligent Systems with Applications (2022)

Artificial Intelligence algorithms are powerful in performing accurate predictions, but they are often considered black boxes as they do not provide any explanation about how outputs are derived from inputs or why a decision is taken. There...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.iswa.2022.200109

Medical Informatics and Pediatrics

Kevin B. Johnson • Archives of Pediatrics and Adolescent Medicine (1995)

Decision support is an important area of medical informatics research. Computer-based decision-support tools facilitate diagnosis and the management of patients after a diagnosis has been established. Diagnostic decision-support tools, such...

OPENALEX DOI: https://doi.org/10.1001/archpedi.1995.02170250077014

Medical Informatics as a Concept and Field-Based Medical Informatics Research: The Case of Turkey

Muhammet Damar, Tuncay Küme, İbrahim Yüksel, Ali Emre Çetinkol et al. • Düzce Tıp Fakültesi Dergisi (2024)

Aim: This study aimed to evaluate the position of Turkey in the field of Medical Informatics and assess the general structure of research by analyzing Medical Informatics research with bibliometric methods. Material and Methods: In this stu...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.18678/dtfd.1410276