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    <article-meta>
      <title-group>
        <article-title>ECHO - An mHealth Solution to Support Treatment of Chronic Patients</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Frank Steimle</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Matthias Wieland</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>University of Stuttgart, Institute of Parallel and Distributed Systems</institution>
          ,
          <addr-line>Universitätsstraße 38, 70569 Stuttgart</addr-line>
          ,
          <country country="DE">Germany</country>
        </aff>
      </contrib-group>
      <fpage>64</fpage>
      <lpage>67</lpage>
      <abstract>
        <p>More and more people all over the world suffer from chronic diseases, like asthma. The German-Greek bilateral research project Enhancing Chronic Patients Health Online developed online services for physicians and patients for use on smart phones or web browsers, in order to improve monitoring of those patients and to be able to detect possible exacerbations earlier. During the project we have developed smart phone applications and websites for both patients and physicians and a cloud-based health data management system. This demonstration shows how our system supports physicians and patients.</p>
      </abstract>
      <kwd-group>
        <kwd>mHealth</kwd>
        <kwd>eHealth</kwd>
        <kwd>Monitoring</kwd>
        <kwd>Cloud Computing</kwd>
        <kwd>Analysis</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>Introduction</title>
      <p>Chronic diseases like diabetes, asthma, or chronic obstructive disease (COPD)
are on the rise. For the proper treatment of chronic patients regular check-ups
are inevitable. But due to lack of time or economic difficulties many patients
do not get regular check-ups, which possibly leads to an exacerbation of their
condition or even hospitalization.</p>
      <p>In the project Enhancing Chronic Patients Health Online (ECHO)1 smart
phones, cloud computing, and data analytics are used to enable regular monitoring
of COPD patients and avoidance of exacerbations. Patients who use the ECHO
System are able to answer questions on their condition on a daily basis using their
smart phones. The ECHO System even enables patients to enter measurements,
like heart rate or body temperature. After submitting the daily report to the
ECHO System, the data is analyzed by the ECHO System. If the system detects
an imminent aggravation of the patients’ health, the patient and the corresponding
physician get notified and, if applicable, a treatment recommendation is given.
Additionally, the ECHO System is able to store medical data like results of
examinations or prescribed drugs. This extra data can be used to improve the
analytics, such that imminent aggravations could be detected even earlier.</p>
      <p>
        Section 2 presents a system overview and Section 3 presents our demonstration
scenario.
As shown in Fig. 1, the ECHO System is made up of 2 layers: Frontend-Layer
and Backend-Layer. The Frontend-Layer consists of web and mobile applications
for patients and physicians. The Backend-Layer contains the Health Server which
is a cloud service. The Health Server is accessible from the Frontend-Layer via
the Health API, which is a RESTful HTTP-API. The Health API enables the
applications of the Frontend-Layer to use the Health Services and the Analytics.
The Health Services can be used to store and query data from the Health Data
Repository, where all patients’ data is stored. The Analytics provide procedures
to analyze data in the Health Data Repository, e.g., simple procedures to analyze
the incoming daily reports or complex procedures which perform data mining.
The Orchestrations can be used to orchestrate Health Services and Analytics
to new complex services. Finally, the Management and Provisioning Engine is
responsible for managing all the before mentioned components. Details on the
implementation can be found in [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ].
3
      </p>
    </sec>
    <sec id="sec-2">
      <title>Demonstration Scenario</title>
      <p>
        In our Demonstration Scenario we will show how the system can be used by
physicians and patients. Fig. 2 shows the steps that need to be performed in
order to monitor a single patient. The grey colored activities are administrative
tasks. The first step, which is deploying the TOSCA[
        <xref ref-type="bibr" rid="ref2">2</xref>
        ] cloud service in a secure
private cloud, will not be part of our demonstrations since it would take too
much time. After that the administrator of the system creates an account for
Deploy TOSCA ECHO 
Service in Secure 
Private Cloud
      </p>
      <p>Create Doctors &amp; 
Patients Accounts</p>
      <p>Create &amp; Maintain 
Electronic Health </p>
      <p>Record</p>
      <p>Answer Daily 
Questions</p>
      <p>Perform 
Analytics</p>
      <p>RecomCmreeanted ation
each physician and each patient. The physician is also able to create accounts
for his patients using the web application. Fig. 3 shows the physicians’ patients
list in the web application. The next activity is the creation and maintenance
of the patients’ electronic health record by the doctor. Before the patient uses
the mobile application, the physician can enter all relevant medical data into the
system. Since the ECHO System can not replace the physician, it is still needed
that the physician examines the patient from time to time. The results of those
following examinations can also be added to the electronic health record of the
patient. We will show how physicians’ and patients’ account can be created and
how maintain the patients’ electronic health record.</p>
      <p>After the patient got introduced to the mobile application he can now fill in
his data on a daily basis. This is the first of the dark-blue activities in Fig. 2.
Fig. 4a shows the questionnaire on the smart phone which was already answered
by the patient. After the submission of the report to the server, it is analyzed.
ECHO
If the analytic functions detected a possibly worsening of the patients’ health
state, a notification is send to the physician and the patient via E-Mail, SMS
or push notification. If there is a known treatment recommendation, the system
will also send it along with the notification. Fig. 4b shows a notification in the
mobile application. We will show how the mobile applications works and show
the different outcomes of the analytics.
Acknowledgments This research and development project is funded by the
German Federal Ministry of Education and Research (BMBF) within the Framework
Concept “Innovationen mit Dienstleistungen” (01XZ13023G) and is managed by
the Project Management Agency at the German Aerospace Center (PT-DLR)
Unit “Work Design and Services” (PT-AD).</p>
    </sec>
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