Mobile Personal Health Systems for Patient Self-management: On Pervasive Information Logging and Sharing within Social Networks

Mobile Personal Health Systems for Patient Self-management: On Pervasive Information Logging and Sharing within Social Networks A.K. Triantafyllidis , V.G. Koutkias, I. Chouvarda, and N. Maglaveras Lab of Medical Informatics Faculty of Medicine, Aristotle University of Thessaloniki Thessaloniki, Greece [email_address]

Presentation Outline
Background:
Personal Health Systems
Patient Self-management
Social Networks
Pervasive Monitoring Systems
Scope of the Current Work
Proposed System:
Information Dimensions & Sharing
System Architecture
Micro-blogging Services
Results:
Prototype Implementation - Technical Feasibility
Discussion and Future Work
Mobile Personal Health Systems for Patient Self-management: On Pervasive Information Logging and Sharing within Social Networks 2

Personal Health Systems
Personal Health Information Management towards Wellness
Pervasive Health Monitoring: Anytime, Anywhere, Unobtrusive
Pervasive Health Monitoring Instruments & Situations 3 Mobile Personal Health Systems for Patient Self-management: On Pervasive Information Logging and Sharing within Social Networks ECG Temperature Respiration Activity Posture

Patient Self-management: Rationale
Rationale (K.R. Lorig, 2003  ): “ Whether one is engaging in a health promoting activity such as exercise or is living with a chronic disease such as asthma, he or she is responsible for day-to-day management .”
# K.R. Lorig and H.R. Holman, “ Self-management education: History, definition, outcomes, and mechanisms ”, Ann Behav Med., vol. 26, no. 1, pp. 1-7, 2003. 4 Mobile Personal Health Systems for Patient Self-management : On Pervasive Information Logging and Sharing within Social Networks

Patient Self-management : Benefits
Enhancement of communication with doctors
Focus on treatment plan, adherence
Self-efficacy
Confidence to carry out a behavior/lifestyle necessary to reach a desired goal
Well-being better management
5 Mobile Personal Health Systems for Patient Self-management : On Pervasive Information Logging and Sharing within Social Networks

Patient Social Networks
Quantitative self-tracking
Sharing of health information
Purpose: emotional support, exchange of experiences and ideas, education, improved self-tracking
Example Patient Online Community: PatientsLikeME
Critical Requirement: Patient Willingness to Share Health Data
6 Mobile Personal Health Systems for Patient Self-management: On Pervasive Information Logging and Sharing within Social Networks

Pervasive Monitoring Environments
Problems encountered in Health Information Management by patients
Integration with health monitoring infrastructures still in its infancy
Variable Context (Time – Location – Activity – Situation)
Limited patient involvement and user-to-system interactions with respect to generation and pervasive sharing of information about health status

Approach: An environment for logging and event-driven sharing of health information towards effective (in terms of “anytime-anywhere”) and collaborative disease management
8

Target Users & Functionality
Mobile Personal Health Management System targeted at Chronic Patients who:
Use Portable Health Monitoring Systems
Are highly aware of their disease
Wish to engage more actively in their disease management
Functional Attributes:
Acquisition of sensor data and alert reporting
Patient self-reporting
Event-driven sharing of health status with networked community according to patient needs and preferences

Personal Health Information: Dimensions & Sharing 10 Mobile Personal Health Systems for Patient Self-management: On Pervasive Information Logging and Sharing within Social Networks
Vital Sign Measurements & Alerts
Heart rate, respiratory rate, skin temperature, activity, etc
Event-driven alerts/recommendations according to the configuration of personalized monitoring schemas
Health Problems/Symptoms
Dizziness, chest pain, shortness of breath, stress, etc
Patient Situation
Shopping, driving, working, exercising, resting, etc
Time and Location

Personal Health Information: Dimensions & Sharing 11 Mobile Personal Health Systems for Patient Self-management: On Pervasive Information Logging and Sharing within Social Networks Subjective information (i.e. patient provided )
Manual
Event-driven
Configuration of health dimensions according to preferences/needs
Selection of receivers
Instant & Continuous mode of information dissemination
Objective information (i.e. patient sensor measurements ) Detailed view of patient health status
Discovery of patterns
Self-tracking
Visualization Capabilities
Sharing Capabilities

System Architecture 12 Mobile Personal Health Systems for Patient Self-management: On Pervasive Information Logging and Sharing within Social Networks

Micro-blogging Services 13 Mobile Personal Health Systems for Patient Self-management: On Pervasive Information Logging and Sharing within Social Networks
Typical functionality: Free text messages of small size are sent to selected receivers
Example Micro-blogging platform: Twitter
Size of message 140 characters
URLS used as links to additional information
Use of labels (# before a word) to ease the message discovery
Message Sharing
Dynamic construction of messages according to conditional patterns defined by the patient
Currently applied in the form of if-then-else rules
Use of special characters (e.g. *) character, in order to distinguish the terms provided within system

Examples of Use View of the recorded health conditions in the user’s mobile PHR Conditions which trigger status sharing 14 Mobile Personal Health Systems for Patient Self-management: On Pervasive Information Logging and Sharing within Social Networks

Examples of Use 15 Mobile Personal Health Systems for Patient Self-management: On Pervasive Information Logging and Sharing within Social Networks Selected recipients of the shared status Message (sent from user “spapageo”) shown to the recipient (via a twitter client application)

Prototype Implementation Personal Health Systems for Patient Self-management: Integration in Pervasive Monitoring Environments
MBU
J2ME-CLDC (Java 2 Micro Edition- Connected Limited Device Configuration)
Open platform for mobile applications
JSR-172 Web Services (Java Specifications Request)
API for Web Service clients
Twitter API
Based on REST
Security: HTTP Basic Authentication
System Back-end
Apache Tomcat
Web application container
Apache Axis2
Underlying SOAP engine
16

Prototype Implementation
Zephyr BioHarness BT
Physiological monitoring system incorporating sensors into a strap
can be worn virtually in any environment
Heart Rate, ECG, Breathing Rate, Skin Temperature, Activity & Posture measurements
Bluetooth communication
SDK available
API based on request-response messages
Support of streaming, periodical, or threshold data
17

Discussion: Future Work
Extensive Evaluation:
Patient acceptance
Medical perspective
Privacy policies
Elaborate on a generic methodology integrating:
Patient preferences and observations
Handling of context parameters, e.g. location, activity, etc.
Behavioral monitoring based on user-to-system interactions
Collaborative filtering of information
Pattern discovery

A.K. Triantafyllidis , V.G. Koutkias, I. Chouvarda, and N. Maglaveras Lab of Medical Informatics Faculty of Medicine, Aristotle University of Thessaloniki Thessaloniki, Greece [email_address] Mobile Personal Health Systems for Patient Self-management: On Pervasive Information Logging and Sharing within Social Networks Thank you!!! The research leading to these results has received funding from the Ambient Assisted Living (AAL) Joint Programme under Grant Agreement n° AAL-2008-1-147 – the REMOTE project (http://www.remote-project.eu/).

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Mobile Personal Health Systems for Patient Self-management: On Pervasive Information Logging and Sharing within Social Networks

by Andreas Triantafyllidis on Apr 13, 2011

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Mobile Personal Health Systems for Patient Self-management: On Pervasive Information Logging and Sharing within Social Networks — Presentation Transcript