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Analysis of Prescription Drug Regimen Compliance

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

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Analysis of Prescription Drug Regimen Compliance

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  1. Analysis of Prescription Drug Regimen Compliance Charles Mason Computer Applications in Medicine REU 2006 University of Virginia

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. Demonstration

  10. Future Work • Create application for capturing compliance data • Provide further analysis of compliance data

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