Medical Information Representation Framework for Mobile Healthcare

Medical Information Representation Framework for Mobile Healthcare

Ing Widya (University of Twente, the Netherlands), HaiLiang Mei (University of Twente, the Netherlands), Bert-Jan Beijnum (University of Twente, the Netherlands), Jacqueline Wijsman (University of Twente, the Netherlands) and Hermie Hermens (University of Twente, the Netherlands)
Copyright: © 2009 |Pages: 21
DOI: 10.4018/978-1-60566-332-6.ch004
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In mobile healthcare, medical information are often expressed in different formats due to the local policies and regulations and the heterogeneity of the applications, systems, and the adopted Information and communication technology. This chapter describes a framework which enables medical information, in particular clinical vital signs and professional annotations, be processed, exchanged, stored and managed modularly and flexibly in a mobile, distributed and heterogeneous environment despite the diversity of the formats used to represent the information. To deal with medical information represented in multiple formats the authors adopt techniques and constructs similar to the ones used on the Internet, in particular, the authors are inspired by the constructs used in multi-media e-mail and audio-visual data streaming standards. They additionally make a distinction of the syntax for data transfer and store from the syntax for expressing medical domain concepts. In this way, they separate the concerns of what to process, exchange and store from how the information can be encoded or transcoded for transfer over the internet. The authors use an object oriented information model to express the domain concepts and their relations while briefly illustrate how framework tools can be used to encode vital sign data for exchange and store in a distributed and heterogeneous environment.
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Mobile healthcare applications receive more and more attention due to the ability to reshape healthcare delivery, for example, enabling self-management of patients whilst they pursue their daily activity. Information and communication (ICT) technology and infrastructures which provide the necessary ubiquitous connectivity enable these applications. Competitive value-add ICT providers moreover facilitate these applications with alternatives to computation and communication services. Today’s environment for networked applications is therefore rich in ICT services which are accessible anywhere and anytime, for example by prepaid or subscription contracts between users and ICT service providers or by collaboration contracts between these providers. Such environment enables applications to select (wireless) connections of required quality and technology which are considered best for their purpose. A mobile application may for instance seamlessly switch over between GSM, UMTS or WiFi 802.11 (Schiller, 2003) connections that are offered by competing providers. These developments enable mobile healthcare applications in choosing the appropriate situations with adequate ICT support that permit healthcare to be delivered where previously it was difficult or impossible to do so (Wootton, 2006).

Due to these ICT and business advancements, a travelling patient with a chronic disorder can be monitored continuously everywhere in the country of residence as well as abroad. If his health condition requires, he may be examined at a care centre abroad that uses equipment different than at his country of residence. This may further imply that the format of the processed healthcare data differs from the format used at his residential care centre. Local care centre’s policy or local governmental health regulations may also impose the use of a different healthcare data format standard. In (near) future mobile healthcare therefore, we typically need to deal with healthcare data which are represented in multiple format standards due to the different policy or regulations and the heterogeneity of applications, systems and ICT technology.

This chapter describes a framework which enables healthcare data, in particular (digitized) continuous-time patient’s vital signs and professional annotations, be processed, exchanged, stored and managed modularly and flexibly in a mobile, distributed and heterogeneous environment. A framework is often described as a basic conceptual structure to compose something from fitting parts. In the context of this chapter, a framework is an integrative (standardized) conceptual structure which brings together a set of components which themselves may be standards such as vital signs format & encoding standards (Blair & Stefani, 1998). It therefore addresses questions like:

  • How to deal with healthcare data expressed in accordance with several data format standards and how to encode the data to fit to the characteristics of the provided connections to enable effective and efficient data transfers;

  • How to deal with professional (textual, graphical or multimodal) annotations and derived (i.e. trend) signs in sync with the analyzed vital sign segments;

  • How to manage vital sign data sets of a patient that originate from the same measurement session in a (distributed) study, which typically process data in several steps using processing tools with specific parameter settings. Similarly, how to manage vital sign data sets (of the same patient and the same measurement session) in different formats, e.g. if the returning traveling patient, who has been monitored and diagnosed in a care centre abroad, consults his general practitioner, who then inspects the annotations and the vital signs measured and processed using a locally certified system to confirm the annotations, the diagnosis and treatment of his colleague abroad.

The proposed framework should furthermore fit to the practices used in ICT to manage the use of multiple format and encoding standards, as discussed in the next sections.

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Table of Contents
Chapter 1
Katie A Siek, Kay H Connelly, Beenish Chaudry, Desiree Lambert, Janet L. Welch
In this chapter, the authors discuss two case studies that compare and contrast the use of barcode scanning, voice recording, and patient self... Sample PDF
Evaluation of Two Mobile Nutrition Tracking Applications for Chronically Ill Populations with Low Literacy Skills
Chapter 2
Ana Ferreira, Luis Barreto, Pedro Brandao, Ricardo Correia
Virtual electronic patient records (VEPR) enable the integration and sharing of healthcare information within large and heterogeneous organizations... Sample PDF
Accessing an Existing Virtual Electronic Patient Record with a Secure Wireles Architecture
Chapter 3
Phillip Olla, Joseph Tan
This chapter provides an overview of mobile personal health record (MPHR) systems. A Mobile personal health record is an eclectic application... Sample PDF
Personal Health Records Systems Go Mobile: Defining Evaluation Components
Chapter 4
Ing Widya, HaiLiang Mei, Bert-Jan Beijnum, Jacqueline Wijsman, Hermie Hermens
In mobile healthcare, medical information are often expressed in different formats due to the local policies and regulations and the heterogeneity... Sample PDF
Medical Information Representation Framework for Mobile Healthcare
Chapter 5
Daniel Ruiz-Fernandez, Antonio Soriano-Paya
The incorporation of computer engineering into medicine has meant significant improvements in the diagnosis-related tasks. This chapter presents an... Sample PDF
A Distributed Approach of a Clinical Decision Support System Based on Cooperation
Chapter 6
Teppo Räisänen, Harri Oinas-Kukkonen, Katja Leiviskä, Matti Seppänen, Markku Kallio
Incorporating healthcare information systems into clinical settings has been shown to reduce medication errors and improve the quality of work in... Sample PDF
Managing Mobile Healthcare Knowledge: Physicians' Perceptions on Knowledge Creation and Reuse
Chapter 7
Yousef Jasemian
Recording of physiological vital signs in patients’ real-life environment could be especially useful in management of chronic disorders; for example... Sample PDF
Patient Monitoring in Diverse Environments
Chapter 8
Monica Tentori, Daniela Segura, Jesus Favela
Hospital work is characterized by intense mobility, a frequent switching between tasks, and the need to collaborate and coordinate activities among... Sample PDF
Monitoring Hospital Patients Using Ambient Displays
Chapter 9
Javier Espina, Heribert Baldus, Thomas Falck, Oscar Garcia, Karin Klabunde
Wireless body sensor networks (BSNs) are an indispensable building stone for any pervasive healthcare system. Although suitable wireless... Sample PDF
Towards Easy-to-Use, Safe, and Secure Wireless Medical Body Sensor Networks
Chapter 10
Yousef Jasemian
People living with chronic medical conditions, or with conditions requiring short term monitoring, need regular and individualized care to maintain... Sample PDF
Sensing of Vital Signs and Transmission Using Wireless Networks
Chapter 11
Nuria Oliver, Fernando Flores-Mangas, Rodrigo de Oliveira
In this chapter, we present our experience in using mobile phones as a platform for real-time physiological monitoring and analysis. In particular... Sample PDF
Towards Wearable Physiological Monitoring on a Mobile Phone
Chapter 12
Giovanni Russello, Changyu Dong, Naranker Dualy
In this chapter, the authors describe a new framework for pervasive healthcare applications where the patient’s consent has a pivotal role. In their... Sample PDF
A Framework for Capturing Patient Consent in Pervasive Healthcare Applications
Chapter 13
Filipe Meneses, Adriano Moreira
The increasing availability of mobile devices and wireless networks, and the tendency for them to become ubiquitous in our dally lives, creates a... Sample PDF
Technology Enablers for Context-Aware Healthcare Applications
Chapter 14
Bjorn Gottfried
This chapter introduces spatial health systems, identifies fundamental properties of these systems, and details for specific applications the... Sample PDF
Modeling Spatiotemporal Developments in Spatial Health Systems
Chapter 15
Hailiang Mei, Bert-Jan van Beijnum, Ing Widya, Val Jones, Hermie Hermens
Building context-aware mobile healthcare systems has become increasingly important with the emergence of new medical sensor technologies, the fast... Sample PDF
Context-Aware Task Distribution for Enhanced M-health Application Performance
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