Our approach

MAGIC has been realised using GRADE methodology and through international collaboration, combined with the latest web technology, intuitive design and emphasis on open and linked digitally structured data. Which means we research and build stuff for you to use.

We work with Guideline organizations, developers of software that uses or disseminate guideline content, Electronic Health record vendors, developers of Decision support systems and also groups of people interested in guidelines and evidence based medicine.

The main tool that we have created, and that we eventually build all our research results into, is the MAGIC authoring and publication platform: MAGICapp.

How can a research project develop and maintain such an awesome and extensive guideline platform?

The development of the application is done within our independent non-profit organization, and is so far funded by innovation grants and donations.

To ensure further development, sustainability and fulfillment of MAGICā€™s goals we ask all bigger organizations that use our tools to chip in on the development and maintenanceĀ cost.

We do not have, nor will we ever have, shareholders, private owners or investors expecting to get a profit.

We promise you no funds will ever go to other purposes than improving the application or advancing evidence based medicine and GRADE.

The MAGICapp platform can be used in multiple ways for different users:


Guideline organizations

You can use the platform to create your guidelines. There is process and method support in the platform that will help you adhere to standards for trustworthy guidelines. The platform is online and collaborative, so your whole team can get access and work on their bit, without the need of multiple documents being sent back and forth.
You can use our platform to publish your guidelines and you can also export the content to other platforms. From your own website you can place links to your guideline, and to specific recommendations should you wish to do so.

The platform is fully digitized, storing the various bits and pieces of your guideline as separate objects. That means that you can update small bits at a time, and those parts will immediately (after publishing them) be available in all products coming out from the guideline. That is part of our living guideline strategy.

Having the guideline fully digitized also means that you, and others, can interact with the content in new ways. One example is to use smaller bits of your guideline for other products, e.g directly incorporating single recommendations or summary of findings tables into short texts used elsewhere on your webpage by using our widgets, without having to copy-pasting the content. Which means it will always be up to date and show the latest version to your users.

Having the content digitized also means we can develop different ways of showing the same content. So you only have to write the content once, but it can be used to show a different layout for specific user groups, specific settings or contexts. An example of this is our built-in Decision aids, where we re-use the content from the summary of findings table, and show it more graphically to aid clinician-patient discussion.

With an online and digital platform, you can take advantage of new features as we build them in, without the need for a re-install or involving technical personnel. We will continue to implement new features and tools for you to use directly.

We know organizations use a host of different platforms and tools, and by digitizing your content it is easier to move content from one platform to the next, in order to complete your workflow. If you use other digital tools for early steps in your guideline process, like search and screening, data extraction and meta-analysis for your systematic reviews, you could upload that data into your guideline, without having to write it in again.
We can currently import data from reference managers and databases like: PubMed, Endnote, RefWorks, Mendeley, Screening and Data extraction tools like Covidence, and Meta-analysis tools like RevMan.
Using digital tools for the Evidence Synthesis process will enable you to more dynamically update content to be used in your guideline.

Organizations that develop Evidence summaries
The platform also have a Evidence summary component, that can be used to create and publish evidence summaries. You can create simpler Evidence summaries or multilayered Evidence summaries with statements/conclusions and key information.

Personal use, for exploring, learning and teaching
Personal users can use the platform to create guidelines or evidence summaries to learn about guideline methods, for teaching purposes, or to explore what the tool can do. Personal users can publish evidence summaries, but not guidelines.

Developers of software that uses or disseminate guideline content
Public content is available through an open API, and developers of software can use this API to engage with the content, to develop mobile apps, cool visualizations or new ways to display the information.
From groups that wish to disseminate the content through their own sites, or create texts where they reference specific recommendations, they can link directly to specific guidelines, sections in a guideline, or recommendations in a guideline, and know that users will always get to the latest version. It is also possible to link to a specific version of a guideline or recommendation, should you want that.
We have developed widgets that could be used to embed or have pop-ups of Summary of findings tables incorporated on any website.

Electronic Health Record (EHR) vendors and developers of Clinical Decision support systems (CDSS)
We have made it simple for EHRs and CDSSs to engage with content published with MAGICapp.
As described above, CDSSs could link to or embed single recommendations from a guideline, instead of copy pasting it, and thereby be sure to always use the latest version.
For EHRs we have incorporated a way for EHR to extract data from recommendations the clinician is reading, through our API, so that it can be used to contextualize the information shown to the clinician, e.g. by showing patient specific information alongside the recommendation. See PLUGGED-IN: Decision support for more information.