Literature DB >> 11734400

Medical support system for continuation of care based on XML web technology.

G Stalidis1, A Prentza, I N Vlachos, S Maglavera, D Koutsouris.   

Abstract

In this paper, the implementation of an Internet-based telematic service for medical support is presented, which was developed and operated in pilot form within the INTRANET HEALTH CLINIC project--a 2-year project supported by the European Commission under the Health Telematics Programme. The aim of the application is to offer high quality care to users of health services over inexpensive communication pathways, using Internet-based, interactive communication tools, like remote access to medical records and transmission of multimedia information. The XML technology was employed to achieve customised views on patient data, according to the access rights of different user profiles. Strict security and access control policy were implemented to ensure secure transmission of medical data through the Internet. The system was designed to collaborate with existing clinical patient record systems and to be adjustable to different medical applications. Current implementations include the fields of Oncology, Lupus Erythrematosis, Obstetrics and Chronic Obstructive Pulmonary disease. The results of the pilot operation with oncological patients in Greece were encouraging, so that the refining of the system and its expansion to a large number of patients is already in progress.

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Year:  2001        PMID: 11734400     DOI: 10.1016/s1386-5056(01)00195-2

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  3 in total

1.  The latest MML (Medical Markup Language) version 2.3--XML-based standard for medical data exchange/storage.

Authors:  Jinqiu Guo; Kenji Araki; Koji Tanaka; Junzo Sato; Muneou Suzuki; Akira Takada; Toshiaki Suzuki; Yusei Nakashima; Hiroyuki Yoshihara
Journal:  J Med Syst       Date:  2003-08       Impact factor: 4.460

2.  An enhanced security solution for electronic medical records based on AES hybrid technique with SOAP/XML and SHA-1.

Authors:  M L Mat Kiah; Mohamed S Nabi; B B Zaidan; A A Zaidan
Journal:  J Med Syst       Date:  2013-09-14       Impact factor: 4.460

3.  Preprocessing structured clinical data for predictive modeling and decision support. A roadmap to tackle the challenges.

Authors:  José Carlos Ferrão; Mónica Duarte Oliveira; Filipe Janela; Henrique M G Martins
Journal:  Appl Clin Inform       Date:  2016-12-07       Impact factor: 2.342

  3 in total

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