We research and build stuff
MAGICapp 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.
Awesome and extensive
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, donations and license fees from the organizations that publish their guidelines on our site.
To ensure further development, sustainability and fulfillment of MAGIC’s goals we ask all organizations and research facilities that use our tools to chip in as much as they can, and help us obtain grant funding. The more funds we can get, the less the costs will be for each organization going forward, and the more features and support we give.
We do not have shareholders, private owners or investors expecting to get a profit, so all our funds is used to improve the application or advancing evidence based medicine and GRADE.
We promise you no funds will ever go to other purposes than improving the application or advancing evidence based medicine and GRADE.
Fully digitized platform
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 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.
Multiple use cases
The MAGICapp platform can be used in multiple ways for different users.
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, including GRADE. The platform is online and collaborative, so your whole team can get access and work on their part, without the need for multiple documents being sent back and forth.
You can use our platform to publish your guidelines, as well as export the content to other platforms. From your own website you can place links to your guideline, to specific recommendations or create pop-ups showing individual Summary of findings tables, graphical views, recommendations and Decision aids. We welcome any wish for integration into other platforms or websites, and will help you as much as we can.
For organizations that develop evidence summaries and Health Technology Assessments
The platform have an evidence summary component, that can be used to create and publish evidence summaries. GRADE support is built into the process also here. You can create free standing evidence summaries or multilayered interactive evidence summaries with graphical interfaces, statements/conclusions, rationales, and Evidence to decision frameworks.
We have created a prototype for HTA development and publishing, and although you can use the evidence summary functionality for you HTAs today, we plan to further support more HTA specific authoring and possibility to publish in HTA-specific multilayered formats.
Take advantage of new features
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.
Integrations, collaboration and the Evidence Ecosystem
Collaboration and the possibility to connect to other tools that support guideline development and GRADE assessments, are very important to facilitate a Evidence Ecosystem, and therefore very important to us.
We are open to collaborate and integrate with anyone. We welcome and will facilitate any wish for integration into other your organization’s website or tools. Exchanging data with other platforms is needed to support a Living Evidence Framework.
We can currently import data from:
We would like to highlight some of our ongoing collaborations
- Cochrane, to get a tighter integration with the search features of their database of systematic review and the new RevMan online. This will allow direct search to alert and facilitate evidence retrieval. The integration will allow Cochrane authors to create standard Summary findings tables and more advanced multilayered, interactive and graphical Summary of finding tables. Integration will support living evidence guidelines using Cochrane systematic reviews
- Covidence screening and data extraction platform, to allow better flow of extracted data and screened studies
- Eppi-reviewer data extraction and meta-analysis platform, to support data exchange with their new platform.
- EBMeDS decision support tool, to set up a way for them to directly use guideline recommendations for development and display of their Decision support recommendations. There is also work to enable EBMeDS to use MAGIC to develop their Summary of Finding tables
- Epistemonikos database of Systematic reviews and other evidence evidence products, to allow indexing, linking and display of searchable published content, support their iSOF and iETD development, and integrate with their LOVE-platform
- Trip database, to allow indexing of linking and display of searchable published content
- CGS conflict of interest and guideline process management tool, to allow guideline developers use the two tools smoothly together
- We also have many other collaboration ongoing, some with tools to integrate with, and some with other types of projects.
Platforms that have GRADE assessment features
- As mentioned we have a collaboration and integrations with the Epistemonikos iSOF and iETD
- EPPI-reviewer have a GRADE module. When the new platform goes online, the plan is to create a data-exchange integration
- Cochrane RevMan online does not have their own Summary of Finding creator. They rather integrate with GRADEpro and MAGIC. Our integration has started and is expected to be completed by 2020. Having a single-sign-on by using Cochrane ID to log into MAGIC is released in January 2020.
- GDT GRADEpro, is a system we have not yet been able to integrate with, but we will hopefully manage to complete this soon, by both of us being part of the EMBonFHIR working group, that develops a common data exchange framework.
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.
Interact with content in new ways
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 on your webpage or in journal publications, by using our widgets, without having to copy-paste the content. This means the content in these places will always be up to date and show the latest version to your users, should you want to. You can also use a specific version of your content in this way, e.g in journal publications where you don’t want the content to change.
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 and guidelines 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.