| SparkMed: A Framework for Dynamic Integration of Multimedia Medical Data into Distributed m-Health Systems. | |
| | |
MedLine Citation:
|
PMID: 22049371 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
|
With the advent of 4G and other long term evolution (LTE) wireless networks, the traditional boundaries of patient record propagation are diminishing as networking technologies extend the reach of hospital infrastructure and provide ondemand mobile access to medical multimedia data. However, due to legacy and proprietary software, storage and decommissioning costs, and the price of centralization and redevelopment, it remains complex, expensive and often unfeasible for hospitals to deploy their infrastructure for online and mobile use. This paper proposes the SparkMed data integration framework for mobile healthcare (m-Health), which significantly benefits from the enhanced network capabilities of LTE wireless technologies, by enabling a wide range of heterogeneous medical software and database systems (such as the PACS, HIS and reporting systems) to be dynamically integrated into a cloud-like peerto- peer multimedia data store. Our framework allows medical data applications to share data with mobile hosts over a wireless network (such as WiFi and 3G), by binding to existing software systems and deploying them as m-Health applications. SparkMed integrates techniques from multimedia streaming, rich Internet applications (RIA), and remote procedure call (RPC) frameworks to construct a Self-managing, Pervasive Automated netwoRK for Medical Enterprise Data (SparkMed). Further, it is resilient to failure, able to use mobile and handheld devices to maintain its network, even in the absence of dedicated server devices. We have developed a prototype of the SparkMed framework for evaluation on a radiological workflow simulation, which uses SparkMed to deploy a radiological image viewer as an m-Health application for telemedical use by radiologists and stakeholders. We have evaluated our prototype using 10 devices over Wi-Fi and 3G, verifying that our framework meets its two main objectives: (1) interactive delivery of medical multimedia data to mobile devices; and (2) attaching to non-networked medical software processes without significantly impacting their performance. Consistent response times of under 500 ms and graphical frame-rates of over 5 FPS were observed under intended usage conditions. Further, overhead measurements displayed linear scalability and low resource requirements. |
| | |
Authors:
|
L Constantinescu; J Kim; D Feng |
Publication Detail:
|
Type: JOURNAL ARTICLE Date: 2011-10-28 |
Journal Detail:
|
Title: IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society Volume: - ISSN: 1558-0032 ISO Abbreviation: - Publication Date: 2011 Oct |
Date Detail:
|
Created Date: 2011-11-3 Completed Date: - Revised Date: - |
Medline Journal Info:
|
Nlm Unique ID: 9712259 Medline TA: IEEE Trans Inf Technol Biomed Country: - |
Other Details:
|
Languages: ENG Pagination: - Citation Subset: - |
Export Citation:
|
APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
|
|
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
Previous Document: Analysis of Using Interpulse Intervals to Generate 128-bit Biometric Random Binary Sequences for Sec...
Next Document: Air Quality and Exercise-Related Health Benefits from Reduced Car Travel in the Midwestern United St...