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Evaluating Usability of Radiology Information Systems in Hospitals of Tabriz University of Medical Sciences. [PDF]
Acta Inform Med, 2016 Introduction and purpose: Radiology information system (RIS) in order to reduce workload and improve the quality of services must be well-designed. Heuristic evaluation is one of the methods that understand usability problems with the least time, cost ...
Rezaei-Hachesu P +2 more
europepmc +2 more sources
Improving radiology information systems for inclusivity of transgender and gender-diverse patients: what are the problems and what are the solutions? A systematic review. [PDF]
J Med Radiat SciIn medical radiation science (MRS), radiology information systems (RISs) record patient information such as name, gender and birthdate. The purpose of RISs is to ensure the safety and well‐being of patients by recording patient data accurately.
Ho N, Williams A, Sun Z.
europepmc +2 more sources
Information systems integration in radiology [PDF]
Journal of Digital Imaging, 1999 Advances in information systems and technology in conjunction with outside forces requiring improved reporting are driving sweeping changes in the practice of radiology. In most academic radiology departments, there can be at least five separate information systems in daily use, a clinical picture archiving and communication system (PACS), a hospital ...
J. Honeyman
openaire +3 more sources
Acta medica medianae, 2012 The development of information systems in health care is approaching the process of integration of various systems used in a single computer so that we witness today the omnipresent idea of merging the functions of the clinical-hospital (CHIS) and radiology (RIS) information system.
Rade R. Babić +3 more
openaire +2 more sources
Journal of Medical Systems, 2014 This study was conducted to evaluate the usability of widely used laboratory and radiology information systems. Three usability experts independently evaluated the user interfaces of Laboratory and Radiology Information Systems using heuristic evaluation method. They applied Nielsen's heuristics to identify and classify usability problems and Nielsen's
Ehsan Nabovati +3 more
openaire +3 more sources
European Journal of RadiologyRadiology is one of the medical specialties most significantly impacted by Artificial Intelligence (AI). AI systems, particularly those employing machine and deep learning, excel in processing large datasets and comparing images from similar contexts ...
Fabio De-Giorgio +4 more
semanticscholar +3 more sources
RadGraph2: Modeling Disease Progression in Radiology Reports via Hierarchical Information Extraction [PDF]
Machine Learning in Health Care, 2023 We present RadGraph2, a novel dataset for extracting information from radiology reports that focuses on capturing changes in disease state and device placement over time.
Sameer Khanna +6 more
semanticscholar +1 more source
ESR paper on structured reporting in radiology—update 2023
Insights into Imaging, 2023 Structured reporting in radiology continues to hold substantial potential to improve the quality of service provided to patients and referring physicians.
European Society of Radiology (ESR)
doaj +1 more source