Results 41 to 50 of about 5,919 (173)
Informatics(1) Background: Tumor-specific standardized data are essential for AI-based progress in research, e.g., for predicting adverse events in patients with melanoma. Although there are oncological Fast Healthcare Interoperability Resources (FHIR) profiles, it
Jessica Swoboda +7 more
doaj +1 more source
Voice Biometrics and Blockchain: Secure Interoperable Data Exchange for Healthcare
Blockchain in Healthcare Today, 2019 PURPOSE The healthcare system in the United States is unique. From payor to provider, patients have many choices but they lack in the ability to manage or share their health information.
Ben Chevallereau +2 more
doaj +1 more source
Sustainable Development, EarlyView.ABSTRACT The fifth industrial revolution (I5.0), which is based on the utilization of interconnected data for efficient resource usage in meeting human requirements, proposes efficient solutions to resource constraint situations. However, the transition to I5.0 in the health sector is not easy and has to face several obstacles.
Ajay Jha +5 more
wiley +1 more source
Strategic Management Journal, EarlyView.Abstract Research Summary Modular systems play a central role in technological innovation. Such systems emerge when interdependencies among modules in a complex system are isolated through interfaces. While early seminal work highlighted the importance of interface design, subsequent research on modularity has largely overlooked it.
Daniel Albert, Martin Ganco
wiley +1 more source
Sensors, 2019 Pervasive healthcare services have undergone a great evolution in recent years. The technological development of communication networks, including the Internet, sensor networks, and M2M (Machine-to-Machine) have given rise to new architectures ...
Jesús N. S. Rubí, Paulo R. L. Gondim
doaj +1 more source
BMC Medical Informatics and Decision Making, 2020 Background Informatics tools to support the integration and subsequent interrogation of spatiotemporal data such as clinical data and environmental exposures data are lacking.
Hao Xu +6 more
doaj +1 more source
Review on enhancing clinical decision support system using machine learning
CAAI Transactions on Intelligence Technology, EarlyView.Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood +4 more
wiley +1 more source
International Endodontic Journal, EarlyView.ABSTRACT Aim Artificial intelligence (AI) has the potential to reshape the healthcare industry, particularly in disease detection, diagnosis and management, as well as in supporting clinical decision‐making to enhance patient care. However, realising the full potential of AI in healthcare depends on several interrelated factors, including data quality,
Shilpa Thakkar +3 more
wiley +1 more source
DEVELOPMENT & INTEGRATION OF FHIR WITH OPEN-SOURCE EMR & RELATIONAL DATABASES [PDF]
, 2016 This project looks into the development and implementation of an open source EHR software, using a FHIR interface to the system for data exchange. The EMR system used was OpenEMR, which is an open source EMR system that uses MySQL as the database backend
Van Wagner, Timothy, Timothy Van Wagner
core +1 more source
Big Data in Cancer Genomics: Computational Foundations and Emerging Pathways for Precision Oncology
Computational and Systems Oncology, Volume 6, Issue 1, December 2026.ABSTRACT This review aims to explore the computational foundations of big data in cancer genomics and examine emerging pathways that support precision oncology and personalized cancer care. A narrative review approach was adopted to synthesize evidence from PubMed, Scopus, Web of Science, and IEEE Xplore.
Nur Vanu +8 more
wiley +1 more source