The efficient direct integration of real-time medical device data is a promising approach to improve patient care enabling a direct and eminent intervention. This study presents a comprehensive approach for integrating real-time medical device data into clinical environments using the HL7® FHIR® standards and IEEE 11073 Service-Oriented Device Connectivity (SDC). The study proposes a conceptual framework and an opensource proof-of-concept implementation for real-time data integration within the Medical Data Integration Center (MeDIC) at UKSH. Key components include a selective recording mechanism to mitigate storage issues and ensure accurate data capture. Our robust network architecture utilizes Kafka brokers for seamless data transfer in isolated networks. The study demonstrates the selective capturing of real-time data within a clinical setting to enable medical device data for a down-stream processing and analysis.
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http://dx.doi.org/10.3233/SHTI240661 | DOI Listing |
Alzheimers Dement
December 2024
The Jikei University School of Medicine, Minato ward, Tokyo, Japan.
Background: As Japan experiences a super-ageing society and caregiver manpower decreases, interest in the use of communication robots for active dementia care rises. In the U.S.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, México, DF, Mexico.
Background: The World Health Organization forecasts a population of 2,000 million people over 60 years by the year 2050, with 7% of this population suffering from dementia. Making a constant clinical-technological evaluation of older adults allows early detection of the disease and provides a better quality of life for the patient. In this sense, the research and development of innovative technological systems for the early detection of the disease, its monitoring and management of the growing number of patients with cognitive diseases has increased in recent years, integrating data collection and its automatic processing based on geriatric metrics into these systems using artificial intelligence (AI) methods.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
WellBe Senior Medical, Atlanta, GA, USA.
Background: Sundowning is the development or progression of neuropsychiatric symptoms (NPS) often occurring in the afternoon or early evening. Noninvasive ambient sensors (NAS) monitor individuals without the need to wear a device or use a camera. The data from NAS sensors can identify movement patterns in the context of cyclomatic complexity to indicate when an individual may be sundowning.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of Minnesota Duluth, Duluth, MN, USA.
This study was approved by the ethics review board at the University of Minnesota. In conclusion, the successful design and testing of an intelligent living space tailored for dementia care were conducted in a controlled lab environment with healthy participants. The primary aim was to assess the viability of integrating robots, wearable sensors, and spatial technology to support the well-being of individuals affected by dementia.
View Article and Find Full Text PDFThe recent ACHIEVE study (https://www.achievestudy.org/) demonstrated the substantial benefit of hearing aid use in those with mild-moderate hearing loss and at increased risk for cognitive decline.
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