automatic support for improving management and treatment of patients with obtrusive sleep apnea...
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Automatic Support for Improving Management and Treatment of Patients with Obstructive Sleep
Apnea SyndromeXavier Rafael Palou; Cecilia Turino; Alexander Steblin; Alejandro Lopera; Ferran Peña; Ana Mayoral; Manuel Sánchez de la Torre; Ferran Barbe;
Jordi Blanco; Eloisa Vargiu
Research Objective
To develop new ICT tools and remote clinical follow-up methods to allow the creation of continuous integrated services for the treatment of Obstructive Sleep Apnea (OSA)
To improve patients’ compliance and achieve better follow-up in using continuous positive airway pressure (CPAP) at home
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Motivation
Currently in Spain, after a visit with a pulmonologist,patients suffering from severe OSA are treated with aCPAP machine at their home
Pulmonologists and CPAP providers guide patients onhow to use the device properly and prescribe them touse the machine at least 4 hours daily in order to benefitthe therapy
From that moment on, the medical protocol states thefollowing visits after 1, 3, 6 and 12 months and then oncea year
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MethodsPatient’s home: CPAP machine
connected to Internet (3G connectivity) and a smartphone with the app.
Hospital: pulmonologists are provided with a web-application that summarizes relevant information and gives also a support in medical decisions
MyOSA platform: installed in the cloud, it connects all the devices for data exchanging
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Methods
The core of the proposed solution is the Intelligent Monitoring System It is composed of a set of intelligent algorithms aimed at predicting the
expected adherence level to the therapy by a given patient
Three predictive models have been built: at day enrollment time, at month 1,and at month 3. All predictions regard compliance at month 6
To provide personalized recommendations to patients according to theiradherence, clustering has been used to identify similar users
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Results
Through the web application pulmonologists may access to patients’ data Usage
Adherence
Number of leaks
Statistics
They also receive a prediction of how patients will follow the therapy
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Results
Through the myOSA app patients may access to their data Usage
Adherence
Number of leaks
Statistics
They may also receive three kinds of recommendations Awards
Feedback
Alerts7
Final Remarks
The trials just started and a total of 60 patients will participate in the study
We will improve the system by relying with more data and getting direct feedback from patients
We will also work together with pulmonologists to improve and extend the set of recommendations
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consortium
The study was funded by the Spanish Ministry of Economy and Competitiveness in the framework of the call \Collaboration Challenges" in the State Program for Research, Development and Innovation Oriented to Societal Challenges" (Project myOSA, RTC-2014-3138-1).
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