Download Slide - University of Virginia, Department of Computer Science

Analysis of Prescription Drug
Regimen Compliance
Charles Mason
Computer Applications in Medicine REU 2006
University of Virginia
Introduction
• Project Overview
• Software framework, and application to provide
analysis of patients’ drug regimen compliance
• Previous Work
• Amit Phull’s senior thesis
• PDA application to remind patients and monitor
their compliance
Motivation
• Monitoring patient compliance with their
prescription regimen is a major issue for many
different fields of medicine
• Electronic Monitoring systems are currently the
best way of providing doctor's with accurate
information on patient compliance
• Current electronic monitoring systems have
significant shortcomings
Current State-of-the-Art
• Medication Events Monitoring System (MEMS)
by Aardex
• Special containers record when prescription is
opened and closed
• Separate software used to do basic analysis of the
data
• Problems
• Costly
• Containers easily lost
Goals
• Provide valuable information on patient
compliance to the patient’s physician
• Provide a file format to store patient compliance
data. File format should be easily extendable to
include new data
• Provide extensible framework for handling patient
compliance data
• Provide an application to analyze patient
compliance data
Results
• File format for storing patient data:
• Created an XML schema which defines a file format
for storing data
• This file stores a patient’s prescription regimen as
well as compliance data for the regimen
• File format takes advantage of outside tools to allow
for easy modification to store more data
Results
• Framework for manipulation of compliance data
• C# class library
• Provides ability to create, manipulate, and save
compliance data
• Provides methods for performing statistical analysis
of the data
Results
• Analysis application
• Windows application written in C#
• Provides doctor with information based on analysis
of patient compliance
• Allows doctor to set analysis parameters allowing
the doctor to get fine-grained information
• Provides ability to generate graphs from compliance
data
Demonstration
Future Work
• Create application for capturing compliance
data
• Provide further analysis of compliance data