Rich internet application system for patient-centric healthcare data management using handheld devices.

Annu Int Conf IEEE Eng Med Biol Soc

Biomedical and Multimedia Information Technology Research Group, School of Information Technologies, University of Sydney, Australia.

Published: March 2010

Rich Internet Applications (RIAs) are an emerging software platform that blurs the line between web service and native application, and is a powerful tool for handheld device deployment. By democratizing health data management and widening its availability, this software platform has the potential to revolutionize telemedicine, clinical practice, medical education and information distribution, particularly in rural areas, and to make patient-centric medical computing a reality. In this paper, we propose a telemedicine application that leverages the ability of a mobile RIA platform to transcode, organise and present textual and multimedia data, which are sourced from medical database software. We adopted a web-based approach to communicate, in real-time, with an established hospital information system via a custom RIA. The proposed solution allows communication between handheld devices and a hospital information system for media streaming with support for real-time encryption, on any RIA enabled platform. We demonstrate our prototype's ability to securely and rapidly access, without installation requirements, medical data ranging from simple textual records to multi-slice PET-CT images and maximum intensity (MIP) projections.

Download full-text PDF

Source
http://dx.doi.org/10.1109/IEMBS.2009.5332734DOI Listing

Publication Analysis

Top Keywords

rich internet
8
data management
8
handheld devices
8
software platform
8
hospital system
8
internet application
4
application system
4
system patient-centric
4
patient-centric healthcare
4
data
4

Similar Publications

Introduction: This study explored the effectiveness of current placenta-derived biomaterials therapies in ulcer healing in DFU compared to standard of care (SOC).

Methods: The systematic review and meta-analysis were performed following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) standard. The electronic databases of PubMed, EMBASE, and Web of Science (WoS) internet were searched for the outcome rate of complete ulcer healing.

View Article and Find Full Text PDF

Large Language Model Enhanced Logic Tensor Network for Stance Detection.

Neural Netw

November 2024

College of Big Data and Internet, Shenzhen Technology University, Shenzhen, China; Guangdong Key Laboratory for Intelligent Computation of Public Service Supply, China. Electronic address:

Social media platforms, rich in user-generated content, offer a unique perspective on public opinion, making stance detection an essential task in opinion mining. However, traditional deep neural networks for stance detection often suffer from limitations, including the requirement for large amounts of labeled data, uninterpretability of prediction results, and difficulty in incorporating human intentions and domain knowledge. This paper introduces the First-Order Logic Aggregated Reasoning framework (FOLAR), an innovative approach that integrates first-order logic (FOL) with large language models (LLMs) to enhance the interpretability and efficacy of stance detection.

View Article and Find Full Text PDF
Article Synopsis
  • Breast cancer is a major global health issue, with 2.3 million new cases and 685,000 deaths annually; early detection through breast examinations is crucial.
  • A study involving 16,474 women in Kenya found that only 44.4% were aware of breast examination methods, with awareness linked to factors like older age, higher education, and internet use.
  • The study suggests that improving awareness among women, especially through education and media, could enhance early detection rates in the community.
View Article and Find Full Text PDF

This study presents the "ESP32 Dataset," a dataset of radio frequency (RF) data intended for human activity detection. This dataset comprises 10 activities carried out by 8 volunteers in three different indoor floor plan experiment setups. Line-of-sight (LOS) scenarios are represented by the first two experiment setups, and non-line-of-sight (NLOS) scenarios are simulated in the third experiment setup.

View Article and Find Full Text PDF

NeurosurGen, Inc.: an academic ancestry database for neurosurgery.

J Neurosurg

November 2024

1NeurosurGen Inc., Augusta, Georgia.

Article Synopsis
  • * Their database includes detailed records of over 8,800 neurosurgeons, highlighting a majority male demographic (92.96%) and notable diversity among ethnic backgrounds, while also emphasizing the historical impact of figures like Harvey W. Cushing.
  • * The project promotes inclusivity in neurosurgical education by recognizing institutions that are actively enhancing diversity among neurosurgeons, ultimately contributing to a richer and more connected neurosurgery community.
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!