PubMed Health⌕ Search

PubMed · 11720950

Internet patient records: new techniques.

Abstract

BACKGROUND: The ease by which the Internet is able to distribute information to geographically-distant users on a wide variety of computers makes it an obvious candidate for a technological solution for electronic patient record systems. Indeed, second-generation Internet technologies such as the ones described in this article--XML (eXtensible Markup Language), XSL (eXtensible Style Language), DOM (Document Object Model), CSS (Cascading Style Sheet), JavaScript, and JavaBeans--may significantly reduce the complexity of the development of distributed healthcare systems. OBJECTIVE: The demonstration of an experimental Electronic Patient Record (EPR) system built from those technologies that can support viewing of medical imaging exams and graphically-rich clinical reporting tools, while conforming to the newly emerging XML standard for digital documents. In particular, we aim to promote rapid prototyping of new reports by clinical specialists. METHODS: We have built a prototype EPR client, InfoDOM, that runs in both the popular web browsers. In this second version it receives each EPR as an XML record served via the secure SSL (Secure Socket Layer) protocol. JavaBean software components manipulate the XML to store it and then to transform it into a variety of useful clinical views. First a web page summary for the patient is produced. From that web page other JavaBeans can be launched. In particular, we have developed a medical imaging exam Viewer and a clinical Reporter bean parameterized appropriately for the particular patient and exam in question. Both present particular views of the XML data. The Viewer reads image sequences from a patient-specified network URL on a PACS (Picture Archiving and Communications System) server and presents them in a user-controllable animated sequence, while the Reporter provides a configurable anatomical map of the site of the pathology, from which individual "reportlets" can be launched. The specification of these reportlets is achieved using standard HTML forms and thus may conceivably be authored by clinical specialists. A generic JavaScript library has been written that allows the seamless incorporation of such contributions into the InfoDOM client. In conjunction with another JavaBean, that library renders graphically-enhanced reporting tools that read and write content to and from the XML data-structure, ready for resubmission to the EPR server. RESULTS: We demonstrate the InfoDOM experimental EPR system that is currently being adapted for test-bed use in three hospitals in Cagliari, Italy. For this we are working with specialists in neurology, radiology, and epilepsy. CONCLUSIONS: Early indications are that the rapid prototyping of reports afforded by our EPR system can assist communication between clinical specialists and our system developers. We are now experimenting with new technologies that may provide services to the kind of XML EPR client described here.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

G Brelstaff, S Moehrs, P Anedda, M Tuveri, G Zanetti. Internet patient records: new techniques.. https://doi.org/10.2196/jmir.3.1.e8

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Malaria-GENOMAP: a web-based tool for exploring genomic variation of malaria parasites.

MOTIVATION: Malaria, caused by Plasmodium parasites, imposes a significant public health burden. While Plasmodium falciparum remains the primary target of elimination strategies due to its high mortality rate, lesser-known species such as P. malariae, P. vivax, and P. knowlesi continue to contribute to substantial human morbidity. Genomic approaches, including whole-genome sequencing, offer powerful tools for understanding the biology, transmission, and emerging drug resistance of these neglected Plasmodium species. However, there is an urgent need for informatic tools to summarize and visualize the high-dimensional and complex genomic data generated. RESULTS: We developed Malaria-GENOMAP, a user-friendly web-based tool, which integrates genomic variant data, such as allele frequencies, with geographical maps and chromosome-wide to gene views for in-depth exploration. The tool includes variation from P. knowlesi (n = 139), P. malariae (n = 158), P. ovale curtisi (n = 36), P. ovale wallikeri (n = 47), P. simium (n = 38), and P. vivax (n = 1359). It enables the investigation of population structure, geographic associations of mutations, and putative drug resistance markers, offering valuable insights for malaria control efforts. AVAILABILITY AND IMPLEMENTATION: Malaria-GENOMAP is available online at https://genomics.lshtm.ac.uk/malaria-genomaps.

Internet↗

Oncoradiology.

This is the seventh in a series of short reviews of internet-based radiological educational resources and will focus on oncological radiology. What follows is a list of carefully selected websites to save you time searching them out for yourself. Most of the sites cater for trainee or non-specialist radiologists but may also be of interest to oncology trainees and specialists for use in teaching. Hyperlinks are available in the electronic version of this article.

Internet↗