Wireless local area network in a prehospital environment

BACKGROUND: Wireless local area networks (WLANs) are considered the next generation of clinical data network. They open the possibility for capturing clinical data in a prehospital setting (e.g., a patient's home) using various devices, such as personal digital assistants, laptops, digital electrocardiogram (EKG) machines, and even cellular phones, and transmitting the captured data to a physician or hospital. The transmission rate is crucial to the applicability of the technology in the prehospital setting. METHODS: We created two separate WLANs to simulate a virtual local are network environment such as in a patient's home or an emergency room (ER). The effects of different methods of data transmission, number of clients, and roaming among different access points on the file transfer rate were determined. RESULTS: The present results suggest that it is feasible to transfer small files such as patient demographics and EKG data from the patient's home to the ER at a reasonable speed. Encryption, user control, and access control were implemented and results discussed. CONCLUSIONS: Implementing a WLAN in a centrally managed and multiple-layer-controlled access control server is the key to ensuring its security and accessibility. Future studies should focus on product capacity, speed, compatibility, interoperability, and security management

Personalized online information search and visualization

BACKGROUND: The rapid growth of online publications such as the Medline and other sources raises the questions how to get the relevant information efficiently. It is important, for a bench scientist, e.g., to monitor related publications constantly. It is also important, for a clinician, e.g., to access the patient records anywhere and anytime. Although time-consuming, this kind of searching procedure is usually similar and simple. Likely, it involves a search engine and a visualization interface. Different words or combination reflects different research topics. The objective of this study is to automate this tedious procedure by recording those words/terms in a database and online sources, and use the information for an automated search and retrieval. The retrieved information will be available anytime and anywhere through a secure web server. RESULTS: We developed such a database that stored searching terms, journals and et al., and implement a piece of software for searching the medical subject heading-indexed sources such as the Medline and other online sources automatically. The returned information were stored locally, as is, on a server and visible through a Web-based interface. The search was performed daily or otherwise scheduled and the users logon to the website anytime without typing any words. The system has potentials to retrieve similarly from non-medical subject heading-indexed literature or a privileged information source such as a clinical information system. The issues such as security, presentation and visualization of the retrieved information were thus addressed. One of the presentation issues such as wireless access was also experimented. A user survey showed that the personalized online searches saved time and increased and relevancy. Handheld devices could also be used to access the stored information but less satisfactory. CONCLUSION: The Web-searching software or similar system has potential to be an efficient tool for both bench scientists and clinicians for their daily information needs

The AP – clients connection (A and B) and peer-to-peer connection (C and D) configurations were tested

<p><b>Copyright information:</b></p><p>Taken from "Wireless local area network in a prehospital environment"</p><p>BMC Medical Informatics and Decision Making 2004;4():12-12.</p><p>Published online 31 Aug 2004</p><p>PMCID:PMC517505.</p><p>Copyright © 2004 Chen et al; licensee BioMed Central Ltd.</p> The arrows indicate the locations and the beaming directions of the APs with a patch antenna. The stars indicate the locations of the wireless devices in the peer-to-peer connections. The link statuses were measured as described in the Methods: the solid and dashed circles indicate "excellent" and "good" statuses, respectively. Panel A: Simulated ambulance parked on the street. Panel B: Simulated ambulance parked in the parking lot of the house. C and D: Peer-to-peer connection was created between two wireless clients