Literature DB >> 19070934

XML technologies for the Omaha System: a data model, a Java tool and several case studies supporting home healthcare.

Pierpaolo Vittorini1, Antonietta Tarquinio, Ferdinando di Orio.   

Abstract

The eXtensible markup language (XML) is a metalanguage which is useful to represent and exchange data between heterogeneous systems. XML may enable healthcare practitioners to document, monitor, evaluate, and archive medical information and services into distributed computer environments. Therefore, the most recent proposals on electronic health records (EHRs) are usually based on XML documents. Since none of the existing nomenclatures were specifically developed for use in automated clinical information systems, but were adapted to such use, numerous current EHRs are organized as a sequence of events, each represented through codes taken from international classification systems. In nursing, a hierarchically organized problem-solving approach is followed, which hardly couples with the sequential organization of such EHRs. Therefore, the paper presents an XML data model for the Omaha System taxonomy, which is one of the most important international nomenclatures used in the home healthcare nursing context. Such a data model represents the formal definition of EHRs specifically developed for nursing practice. Furthermore, the paper delineates a Java application prototype which is able to manage such documents, shows the possibility to transform such documents into readable web pages, and reports several case studies, one currently managed by the home care service of a Health Center in Central Italy.

Mesh:

Year:  2008        PMID: 19070934     DOI: 10.1016/j.cmpb.2008.10.009

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  4 in total

Review 1.  The Omaha System: a systematic review of the recent literature.

Authors:  Maxim Topaz; Nadya Golfenshtein; Kathryn H Bowles
Journal:  J Am Med Inform Assoc       Date:  2013-06-06       Impact factor: 4.497

2.  Feasibility of Representing Data from Published Nursing Research Using the OMOP Common Data Model.

Authors:  Hyeoneui Kim; Jeeyae Choi; Imho Jang; Jimmy Quach; Lucila Ohno-Machado
Journal:  AMIA Annu Symp Proc       Date:  2017-02-10

Review 3.  Paediatric models in motion: requirements for model-based decision support at the bedside.

Authors:  Jeffrey S Barrett
Journal:  Br J Clin Pharmacol       Date:  2015-01       Impact factor: 4.335

4.  Design and implementation of the mobility assessment tool: software description.

Authors:  Ryan T Barnard; Anthony P Marsh; Walter Jack Rejeski; Anthony Pecorella; Edward H Ip
Journal:  BMC Med Inform Decis Mak       Date:  2013-07-23       Impact factor: 2.796

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.