This article introduces the development of a middleware based on HL7, which solves the problem of data integration and sharing effectively and successfully, among the hospital internal subsystems and different hospitals' information systems.
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J Appl Lab Med
January 2025
Department of Pathology and Laboratory Medicine, Loyola University Medical Center, Maywood, IL, United States.
Background: Our institution involves our pathology residents in departmental quality initiatives and in identifying needs for operational improvements. The solutions achieved by these projects have effects beyond the laboratory, and ultimately help to improve diagnostic stewardship by supporting the clinician's ability to obtain necessary biochemical information at the right time. A project highlighting a successful venture is described here in which our investment in new total laboratory automation was not meeting our goals for autoverification rates, resulting in less than expected improvements to turnaround times (TAT).
View Article and Find Full Text PDFClin Chem Lab Med
November 2024
Department of Clinical Biochemistry, 11297 Aarhus University Hospital, Aarhus, Denmark.
Objectives: To provide age- and sex-specific paediatric reference intervals (RIs) for 13 haematological parameters analysed on Sysmex XN-9000 and compare different methods for estimating RIs after indirect sampling.
Methods: Via the Danish Laboratory Information System, we conducted a population-based study. We identified samples from children aged 0-18 years analysed at Aarhus University Hospital from 2019 to 2023, including samples from general practitioners only.
Front Public Health
October 2024
FIND, Geneva, Switzerland.
Background: Antimicrobial resistance (AMR) is a major threat to global public health, affecting human and animal health, agriculture, food safety, and the environment. The control of AMR is often challenging, particularly when data are scanty or siloed in individual sectors. To develop evidence-based control policies for AMR, an electronic information system that integrates AMR data from various sectors, in a One Health approach, is critical.
View Article and Find Full Text PDFSensors (Basel)
September 2024
Computer Science and Communications Research Centre, School of Technology and Management, Polytechnic of Leiria, 2411-901 Leiria, Portugal.
The rise of robotics and the Internet of Things (IoT) could potentially represent a significant shift towards a more integrated and automated future, where the physical and digital domains may merge. However, the integration of these technologies presents certain challenges, including compatibility issues with existing systems and the need for greater interoperability between different devices. It would seem that the rigidity of traditional robotic designs may inadvertently make these difficulties worse, which in turn highlights the potential benefits of modular solutions.
View Article and Find Full Text PDFSensors (Basel)
September 2024
Department of Artificial Intelligence, Chungnam National University, Daejeon 34134, Republic of Korea.
As the adoption of large-scale model-based AI grows, the field of robotics is undergoing significant changes. The emergence of cloud robotics, where advanced tasks are offloaded to fog or cloud servers, is gaining attention. However, the widely used Robot Operating System (ROS) does not support communication between robot software across different networks.
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