Health Informatics Group,

1
A QoS Data Management System within a
PervasiveMedical Environment

• John ODonoghue
• Dr. John Herbert
• Health Informatics Group
• Department of Computer Science
• University College Cork
• Ireland.

2
Thesis Objectives

• Problem
• Pervasive medical environments generate large
  quantities of data.
• Solution
• Provide a framework to manage static and dynamic
  datasets i.e. Data Management System DMS.
• Result
• Ensure Medical Staff get the CORRECT data on TIME
  every Time i.e. QoS.

3
Pervasive Medical Environments
QoS Management of Data
4
Data Management System (DMS)

• What is the DMS?
• The DMS (Data Management System) is an
  intelligent software architecture with an aim to
  optimise accurate data delivery.
• It is designed to work within a pervasive WSN
  (Wireless Sensor Network) medical environment.

5
DMS Architecture
Multiple input streams e.g. PC, PDA, WSN or
database
Layer 1
Data Collection
Agent Platform
Layer 2
DMS
Data Correlation
Layer 3
Data Presentation
Multiple output streams e.g. PC, PDA, WSN or
database
6
Pervasive Medical Environments
Distributed Environment
DMS
S
P
Access Point

M
P Profiles M Medical Knowledge Base S
Sensor Value
Associate User Profiles with Request and Medical
Knowledge Base
Correlate All known data and Generate Result
Compare this result with Real-Time Sensor Values
Return Result to Medical Practitioner
Retrieve Practitioner and Patient Profiles
Request
7
DMS Components
PDA
Patient Module
Jade-Leap
Medical Server
Agilla
JDK
External Components
TinyOS
Jade
Win CE
25mm
CPU
CPU
Agent Communication
Agent Communication
Data Management Server (DMS)
Internal Components
DMS Layer
Jade Jess
Protégé
8
DMS Hardware Development

• Tyndall-DMS-Mote (NAP19)

9
DMS Protocols

• User Profile (DMS-UP)
• Gathering specific dataset based on user
  properties
• Priority Protocol (DMS-PP)
• Triage style
• Data Validation Protocol (DMS-DVP)
• Sensor Interference and Sensor failure
• Data Consistency Protocol (DMS-DCP)
• Differing data views

10
Conclusion

• This research outlines our strategy of enabling
  future mobile medical devices to provide a higher
  QoS at the PPC.
• This solution motivates the use of WSNs, context
  aware agent technologies and medical knowledge
  base systems.
• The synergy between these three facets result in
  relevant information being delivered to the
  medical practitioner in real-time.