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<h1>
Welcome to
<span>optimise<b>:</b>ms</span>
</h1>
<p>A site for access to open-access tools for collection of
<br />real-world Multiple Sclerosis patient data
</p>
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<h1 class="page-header" id="general-information">
General Information
</h1>
<h4>Real World Clinical Data</h4>
<p>Real-world clinical data is needed to understand the course of disease, assess clinical
effectiveness
of medicines and to remain alert to unexpected serious adverse events or frequencies of
adverse
events (see A. Gafson et al.
<i>Multiple Sclerosis Journal</i> 23 (2017) 362-369,
<a
href="https://spiral.imperial.ac.uk:8443/handle/10044/1/44898">https://spiral.imperial.ac.uk:8443/handle/10044/1/44898</a>).
The Optimise MS Project Team, which
has involved neurologists from several UK centres, was created to address this need for
multiple
sclerosis (MS) care.
</p>
<h4>Addressing the Need for Prospective Pharmacovigilance Monitoring with DMT Use</h4>
<p>The primary objective of the Optimise MS Team has been to encourage MS neurologists to record
comprehensive,
standardised data on their patients. This will enable sharing of anonymised data with other
clinicians
and researchers to answer questions important for improving patient care and health
outcomes.
The Optimise MS Team has focused particularly on collecting data to assist in monitoring of
benefits
and risks of disease modifying therapies for prospective pharmacovigilance monitoring.
</p>
<h4>Optimise MS Clinical Research Data Management Software</h4>
<p>While software tools for MS patient data entry and curation have been generated before, none
are
in wide-enough use. One major challenge is to balance comprehensiveness of data collection
with
the sustainability of data entry in a busy clinic environment. Another is to ensure
compliance
with basic requirements for data security and auditing and the ability to remove data if
consent
is withdrawn.</p>
<p>The Optimise MS Team has worked with a core group of MS neurologists and solicited views of
patients,
industry and regulators regarding the kinds of data that are needed to make clinical
decisions,
to meet needs for prospective pharmacovigilance and that are practical to acquire. The Team
explored
ways of making them easier to record. Optimise MS software developers then implemented these
user requirements as the software downloadable here. This tool now is freely available for
use
by clinicians for MS care research.</p>
<p>The tool is provided “as is” as open access code under the terms of an MIT License (Open
Source Initiative).
The open access software provides users with a secure path to “future proofing” the software
by giving control to them.</p>
<p>The Optimise MS software will generate .json output files. Users are encouraged to share
anonymized
data with larger registry efforts, such as MSBase (
<a href="https://www.msbase.org/">https://www.msbase.org/</a>) or the UK MS Register (for UK
based clinicians,
<a
href="https://www.ukmsregister.org/Portal/Home">https://www.ukmsregister.org/Portal/Home</a>).
</p>
<p>Additional updates to the tool will be provided periodically. In registering as part of
approval
for the software download, the Optimise MS team will receive your approval to hold your
contact
details to allow us to update you as the software is enhanced. Feedback regarding the
software
is welcome. Please leave your comments at the
<a href="https://github.com/dsi-icl/optimise/issues">Optimise MS Feedback Space</a>- sign
in, click on New Issue, add title and description and then
submit your feedback. However, note that users need to register for a (free)
<a href="https://github.com/">GitHub account</a> to access the Feedback Space.
</p>
<h4>Other Tools for Real World Data Collection</h4>
<p>The Optimise MS Team also is working to develop other tools for real world data collection
for MS
care. A recent report describes personalised, continuous, quantitative gait speed analysis
in
the home environment using a simple, low cost accelerometer (
<a
href="https://www.frontiersin.org/articles/10.3389/fneur.2018.00561/full">https://www.frontiersin.org/articles/10.3389/fneur.2018.00561/full</a>).
Software and sample
data for researchers who wish to explore this area is available (
<a
href="https://github.com/akaraspt/ms-gait-calibrate">https://github.com/akaraspt/ms-gait-calibrate</a>).
</p>
</div>
<div class="bs-docs-section">
<h1 class="page-header" id="getting-started">
Getting Started
</h1>
<p class="lead">Optimise MS is accessible in multiple forms: direct access to
our demo servers,
packaged Docker containers and desktop application.
</p>
<i>
<h4>Accessing our demo server</h4>
</i>
<p>To access our demo server, simply head
<a href="/demo">here</a>. Confidential patient information should NOT be entered while using
the demo server.
No data that will need to be accessed in the future should be entered. The Demo is intended
to
illustrate how the software works, not to provide a tool to support clinical data storage.
</p>
<div class="bs-callout bs-callout-info" id="code-location">
<h4>Where is the source code ?</h4>
<p>The source code of Optimise MS is available on our public GitHub page at
<a href="https://github.com/dsi-icl/optimise">https://github.com/dsi-icl/optimise</a>
We receive bug report and feature requests there too !
</p>
</div>
<i>
<h4>Running the Docker image</h4>
</i>
<p>If you are an IT professional and would rather deploy the application on premise you can get
this done in four simple steps.</p>
<ol>
<li value="1">Install Docker version
<code>18.x.y-ce</code> or above.
<br />
<i>Instructions available
<a href="https://docs.docker.com/install/">here</a>.</i>
<br />
<br />
</li>
<li>Finally, run this simple command in a privileged shell
<br />
<code>curl -s https://optimise-ms.org/install | bash</code> :
<br />
<br />
</li>
<li>You are done!
<br />
<br />
</li>
</ol>
<div class="bs-callout bs-callout-info" id="how-access">
<h4>How to access it?</h4>
<p>After successfully executing the installation command the application will be available
on port
<code>8080</code>. This can be changed by directly editing the
<code>docker-compose.yml</code> file present in the installation directory.
</p>
</div>
<div class="bs-callout bs-callout-info" id="where-stored">
<h4>Where is the data stored ?</h4>
<p>By default we store it in the working directory in <code>./data</code>. You can customise
the way this container runs and personalise where you would want the
Optimise MS data to be stored.<br />
Please refer to the <a href="https://docs.docker.com/get-started/">Getting Started
</a> guide on Docker's website</p>
</div>
<div class="bs-callout bs-callout-info" id="migration">
<h4>What about upgrades?</h4>
<p>At any point it is possible to upgrade to the latest version of Optimise MS by simply
going to
the same folder you created in step 1 and run the installation command of step 4 again.
</p>
</div>
<i>
<h4>Installing the desktop application</h4>
</i>
<p>If you have tighter security requirement and want to avoid data accessible over network
socket, why not install Optimise MS as a Desktop application?
You can find all the package on out public repository at <a
href="https://github.com/dsi-icl/optimise/releases/latest/">
https://github.com/dsi-icl/optimise/releases/latest/
</a></p>
<br />
<div class="bs-callout bs-callout-info" id="db">
<h4>How does upgrade work?</h4>
<p>Optimise MS desktop app has a built-in updating module, simply log into the admin console
and you will find all you need. Please refer to the user manual for more details.
</p>
</div>
</div>
<div class="bs-docs-section">
<h1 class="page-header" id="release-note">
Release note
</h1>
<p class="lead">Optimise MS is finally starting its journey to help you collect data for MS
patients.</p>
<p>Creation of the Optimise MS Database tool was sponsored by Imperial College London and
generously
funded by Biogen. This project also has been supported by the Imperial College NIHR
Biomedical
Research Centre Brain Sciences Theme. The core Optimise MS Team exercising oversight over
the
software development project included Ruth Dobson (St George’s Hospital), Matt Craner
(University
of Oxford & Frimley Health Foundation Trust), James Overell (University of Glasgow),
Gavin
Giovannoni (Barts and The London Hospitals), Cheryl Hemingway (Great Ormond Street
Hospital),
Yi-ke Guo (Imperial College Data Science Institute) and Paul Matthews (Imperial College
London
NIHR Biomedical Research Centre and Division of Brain Sciences, Department of Medicine).
Developers
on the project included Chon Sou, Pierre-Marie Danieu, Eleni Pissaridou and Florian Guitton
(Imperial
College Data Science Institute). All of the team have benefited from the input of many
clinicians
and patients with MS.</p>
<div class="bs-callout bs-callout-warning" id="usage-note">
<h4>Note on usage</h4>
<p>The software for download is provided “as is” for research use. It is strongly
recommended that
users familiarise themselves with local and applicable national data protection
requirements
(for UK and European users, see, e.g.,
<a href="https://www.eugdpr.org/">https://www.eugdpr.org/</a>).
</p>
</div>
<div class="bs-callout bs-callout-warning" id="guarantee-note">
<h4>Guarantee</h4>
<p>Please note that Optimise MS
<code>v3.1.4</code> is currently released under
<strong>MIT</strong> license. It is provided with no guarantee.
</p>
</div>
</div>
<div class="bs-docs-section">
<h1 class="page-header" id="support">Browser and device support</h1>
<p class="lead">Optimise MS is built to work best in the latest desktop and mobile browsers,
meaning older browsers
might display differently certain components or not render a functional application at all.
</p>
<span>
<img title="BrowserStack Logo" height="58" src="/img/Browserstack.svg" />
</span>
<br />
<br />
<p>Our testing relies on the fantastic support of
<a href="https://www.browserstack.com">BrowserStack</a> for open source
</p>
<h2 id="support-browsers">Supported browsers</h2>
<p>Specifically, we support the
<strong>latest versions</strong> of the below metioned browsers and platforms.
</p>
<p>Alternative browsers which use the latest version of WebKit, Blink, or Gecko, whether
directly or
via the platform's web view API, are not explicitly supported. However, Optimise MS should
(in
most cases) display and function correctly in these browsers as well. More specific support
information
is provided below.
</p>
<h3 id="desktop-browsers">Desktop browsers</h3>
<p>Similarly, the latest versions of most desktop browsers are supported.</p>
<div class="table-responsive">
<table class="table table-bordered table-striped">
<thead>
<tr>
<td></td>
<th>Chrome</th>
<th>Edge</th>
<th>Firefox</th>
</tr>
</thead>
<tbody>
<tr>
<th scope="row">Mac</th>
<td class="text-success">Supported</td>
<td class="text-muted">N/A</td>
<td class="text-success">Supported</td>
</tr>
<tr>
<th scope="row">Windows</th>
<td class="text-success">Supported</td>
<td class="text-success">Supported</td>
<td class="text-success">Supported</td>
</tr>
</tbody>
</table>
</div>
<p>For Firefox, in addition to the latest normal stable release, we also support the latest
<a href="https://www.mozilla.org/en-US/firefox/organizations/faq/">Extended Support Release
(ESR)</a>
version of Firefox.
</p>
<p>Unofficially, Optimise MS should look and behave well enough in Chromium and Chrome for
Linux, Firefox
for Linux, and Internet Explorer 11, as well as Microsoft Edge, though they are not
officially
supported.
</p>
<h3 id="mobile-devices">Mobile devices</h3>
<p>There is currently limited to no support for mobile devices.</p>
</div>
<div class="bs-docs-section">
<h1 class="page-header" id="license-faqs">License FAQs</h1>
<p class="lead">Optimise MS is released under the MIT license and is copyright 2024 Imperial
College London. Boiled
down to smaller chunks, it can be described with the following conditions.</p>
<h3 id="it-requires-you-to">It requires you to:</h3>
<ul>
<li>Keep the license and copyright notice included in Optimise MS's CSS and JavaScript files
when
you use them in your works</li>
</ul>
<h3 id="it-permits-you-to">It permits you to:</h3>
<ul>
<li>Freely download and use Optimise MS, in whole or in part, for personal, private, company
internal,
or commercial purposes</li>
<li>Use Optimise MS in packages or distributions that you create</li>
<li>Modify the source code</li>
<li>Grant a sublicense to modify and distribute Optimise MS to third parties not included in
the
license
</li>
</ul>
<h3 id="it-forbids-you-to">It forbids you to:</h3>
<ul>
<li>Hold the authors and license owners liable for damages as Optimise MS is provided
without warranty
</li>
<li>Hold the creators or copyright holders of Optimise MS liable</li>
<li>Redistribute any piece of Optimise MS without proper attribution</li>
</ul>
<h3 id="it-does-not-require-you-to">It does not require you to:</h3>
<ul>
<li>Include the source of Optimise MS itself, or of any modifications you may have made to
it, in
any redistribution you may assemble</li>
<li>Submit changes that you make to Optimise MS back to the Optimise MS project (though such
feedback
is encouraged)</li>
</ul>
<p>The full Optimise MS license is located
<a href="https://github.com/dsi-icl/optimise-ui/blob/master/LICENSE">in the project
repository</a>
for more information.
</p>
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<p>This page was designed and built with ❤ by
<a rel="noopener" href="http://www.imperial.ac.uk/people/f.guitton" target="_blank">Florian
Guitton</a>. Supported
by the
<a href="https://www.imperial.ac.uk/data-science/">Data Science Institute</a> with the help of
<a href="https://github.com/dsi-icl/optimise/contributors">our contributors</a>.
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