Intelligent Agents Framework for RFID Hospitals

Intelligent Agents Framework for RFID Hospitals

Masoud Mohammadian (University of Canberra, Australia) and Ric Jentzsch (Compucat Research Pty Ltd., Australia)
Copyright: © 2009 |Pages: 14
DOI: 10.4018/978-1-60566-298-5.ch016
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When dealing with human lives, the need to utilize and apply the latest technology to help in saving and maintaining patients’ lives is quite important and requires accurate, near-real-time data acquisition and evaluation. At the same time, the delivery of a patient’s medical data needs to be as fast and as secure as possible. One possible way to achieve this is to use a wireless framework based on radio-frequency identification (RFID). This framework can integrate wireless networks for fast data acquisition and transmission while maintaining the privacy issue. This chapter discusses the development of an agent framework in which RFID can be used for patient data collection. The chapter presents a framework for the knowledge acquisition of patient and doctor profiling in a hospital. The acquisition of profile data is assisted by a profiling agent that is responsible for processing the raw data obtained through RFID and a database of doctors and patients.
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The use and deployment of radio-frequency identification (RFID) is a relatively new area and it has been shown to be a promising technology (Glover & Bhatt, 2006; Lahiri, 2005; Shepard, 2004). This technology has the capability to penetrate and add value to nearly every field, lowering costs while improving service to individuals and businesses. Although many organizations are developing and testing the deployment of RFIDs, the real value of RFID implementation is achieved in conjunction with the use of intelligent systems and intelligent agents. The real issue is how intelligent-agent technologies can be integrated with RFID to be used to achieve the best outcome in business and services areas.

In this research, a new method for integrating intelligent-agent technologies with RFIDs in managing patients’ healthcare data in a hospital environment is given. Knowledge acquisition and profiling of patients and doctors in a hospital are assisted by a profiling agent that is responsible for processing the raw data obtained through RFID data that are stored in a hospital database. There are several perspectives for profiling that could be used in a healthcare and hospital environment.

An intelligent agent can assist in profiling patients based on their illness and ongoing diagnostics as reported by the RFIDs. There are certain data and knowledge about each patient in the hospital. This knowledge could be the description of what the patient’s symptoms are, monitoring status, and why the patient was admitted to the hospital. Using this information, an evolving profile of each patient can be built.

This data and knowledge can assist in deciding what kind of care he or she requires, the effects of ongoing care, and how to best care for this patient using available resources (doctors, nurses, beds, etc.). The intelligent agent will build a profile of each patient. Along with a profile of each patient, a profile for each doctor can also be developed. Then the patient and doctor profiles can be correlated to find the best doctor to suit the patient.

The patient-doctor profiling can be useful in several situations:

  • Providing personalized services to a particular patient, for example, by identifying the services that a patient requires and hence speeding his or her recovery progress in or even out of the hospital.

  • Disambiguating a patient’s diagnostic based on the patient profile and matching this profile to the available doctor’s profile. This may help in matching doctors with the suitable specialization to a patient.

  • Providing speedy, reliable reentry of patients into the hospital by having the patients allocated to visit the relevant doctors.

  • Presenting information in a way suitable to the doctor’s needs, for example, presenting the information about the patients on a continuous basis for the doctors.

  • Providing tailored and appropriate care to assist in cost reduction.

Personalization, user modeling, and profiling have been used for many e-commerce applications by IBM, ATG Dynamo, BroadVision, Amazon, and Garden. However, the use of such systems in hospital and personal care and profiling has not been reported. It should be noted that the definitions of personalization, user modeling, and profiling that these companies discuss are not quite the same as our intended meanings.

Many user models try to predict the user’s preference in a narrow and specific domain. This works well as long as that domain remains relatively static and as such the results may be limited.

One of the main aims of profiling and user modeling is to provide users with correct and timely responses for their needs. This entails an evolving profile to ensure that as the dynamics of the user and real world change, the profile and user model reflects these changes.

Complete Chapter List

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Editorial Advisory Board
Table of Contents
Olaf Diegel
Judith Symonds, John Ayoade, David Parry
Chapter 1
Chin Boo Soon
This chapter describes the history and development of Radio Frequency Identification (RFID). Key information on RFID such as the ratification of the... Sample PDF
Radio Frequency Identification History and Development
Chapter 2
John Garofalakis, Christos Mettouris
The continuous evolution of wireless technologies has made them ideal for use in many different applications, including user positioning. Until now... Sample PDF
Using Bluetooth for Indoor User Positioning and Informing
Chapter 3
John Ayoade, Judith Symonds
Standards organisations such as EPC Global work to provide global compatibility between RFID readers and tags (EPCGlobal, 2007). This is essential... Sample PDF
RFID for Identification of Stolen/Lost Items
Chapter 4
Filippo Gandino, Erwing Ricardo Sanchez, Bartolomeo Montrucchio, Maurizio Rebaudengo
This chapter deals with the use of RFID technology for improving management and security of agri-food products. In order to protect health and to... Sample PDF
RFID Technology for Agri-Food Tracability Management
Chapter 5
Lena Mamykina, Elizabeth Mynatt
In the last decade, novel sensing technologies enabled development of applications that help individuals with chronic diseases monitor their health... Sample PDF
Interpreting Health and Wellness Information
Chapter 6
Bryan Houliston
Hospitals are traditionally slow to adopt new information systems (IS). However, health care funders and regulators are demanding greater use of IS... Sample PDF
RFID in Hospitals and Factors Restricting Adoption
Chapter 7
David Parry, Judith Symonds
Radio-frequency Identification (RFID) offers a potentially flexible and low cost method of locating objects and tracking people within buildings.... Sample PDF
RFID and Assisted Living for the Elderly
Chapter 8
Ashir Ahmed, Ly-Fie Sugianto
This chapter introduces an activity-based framework for the adoption of radio frequency identification (RFID) in emergency management. The framework... Sample PDF
RFID in Emergency Management
Chapter 9
Bin Shen, Yu-Jin Zhang
This chapter is concerned with online object tracking, which aims to locate a given object in each of the consecutive frames. Many algorithms have... Sample PDF
Subsequence-Wise Approach for Online Tracking
Chapter 10
John Ayoade
The aim of Fixed-Mobile Convergence (FMC) is to provide both fixed-line and mobile telephony services to users through the same handset which could... Sample PDF
From Fixed to Mobile Convergence
Chapter 11
Sarita Pais, Judith Symonds
RFID tags can store more data and can update this data through local processing. This is in contrast to the EPC global standard of data-on-network.... Sample PDF
Handling RFID Data Using a Data-on-Tag Approach
Chapter 12
Maryam Purvis, Toktam Ebadi, Bastin Tony Roy Savarimuthu
The objective of this research is to describe a mechanism to provide an improved library management system using RFID and agent technologies. One of... Sample PDF
An Agent-Based Library Management System Using RFID Technology
Chapter 13
Tommaso Di Noia, Eugenio Di Sciascio, Francesco Maria Donini, Michele Ruta, Floriano Scioscia, Eufemia Tinelli
We propose a novel object discovery framework integrating the application layer of Bluetooth and RFID standards. The approach is motivated and... Sample PDF
Semantic-Based Bluetooth-RFID Interaction for Advanced Resource Discovery in Pervasive Contexts
Chapter 14
Indranil Bose, Chun Wai Lam
Radio frequency identification (RFID) has generated vast amounts of interest in the supply chain, logistics, and the manufacturing area. RFID can be... Sample PDF
Facing the Challenges of RFID Data Management
Chapter 15
Masoud Mohammadian, Ric Jentzsch
The cost of health care continues to be a world wide issue. Research continues into ways and how the utilization of evolving technologies can be... Sample PDF
A Mobile Computing Framework for Passive RFID Detection System in Healthcare
Chapter 16
Masoud Mohammadian, Ric Jentzsch
When dealing with human lives, the need to utilize and apply the latest technology to help in saving and maintaining patients’ lives is quite... Sample PDF
Intelligent Agents Framework for RFID Hospitals
Chapter 17
David Wyld
We are in the midst of what may become one of the true technological transformations of our time. RFID (radio frequency identification) is by no... Sample PDF
Radio Frequency Identification (RFID) Technology
About the Contributors