Creating trustworthy guidelines, evidence summaries and decision aids that we can all use and share

View published guidelines

MAGICapp

Develop and publish well-structured electronic guidelines, evidence summaries and decision aids. No install or setup required.

About MAGIC

MAGIC is a research and innovation programme and non-profit initiative within the health sector, working to improve the creation, dissemination and dynamic updating of clinical practice guidelines, evidence summaries and decision aids.

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Our approach

MAGIC has been realised using the GRADE methodology and through international collaboration, combined with the latest web technology, intuitive design and emphasis on open and linked digitally structured data.

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Research and Tools

Frameworks, methodologies and technological solutions for GRADE guidelines

Platforms for guidelines and point of care resources

Among several initiatives and platforms used to create and disseminate guidelines to users point of care is the MAGIC Authoring and Publication Platform (MAGICapp). MAGICapp represents a web-based platform that allows digital and structured authoring, dissemination and dynamic updating of evidence summaries, recommendations and decision aids.

The PICO linked data model applied in MAGICapp breaks down the concept of a guideline document into discrete elements of content. This way of digitally structuring data allows content to be published in multilayered and flexible formats, usable on all devices and facilitates adaptation and dynamic updating of individual recommendations in a living guideline model. The linked data structure - combined with a coding module for annotating PICO questions and recommendations with terms from various structured terminologies and making the data available through an API – allows for connections (EHR, other platforms), re-use and sharing of data across the Ecosystem.

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The Digital and Trustworthy Evidence Ecosystem

Despite globally recognized advances in research methods and systems for evidence-based health care, society faces challenges in delivering high quality and evidence-based health care to patients. Contributing to these challenges are an exponential growth of published research of limited value for society, combined with an epidemic of overdiagnosis and overtreatment - as well as underuse of effective interventions. Such insights have resulted in international calls and initiatives to increase value and reduce waste in research and health care.

Clinical practice guidelines, aiming to provide guidance based on best current evidence about patient management, represent key information resources for health care professionals. Some however, call for "a post-guidelines era" in health care, given well recognized problems and limitations, including how guidelines fail to provide timely information at the point of care. In an era where digitally structured data and the internet have revolutionized access to information "anywhere, anytime, on any device", the health care sector seems to lag behind.

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Enhancing the evidence ecosystem

This case study demonstrates feasibility of more efficient evidence synthesis and dissemination while adhering to the highest standards of trustworthiness, within the Evidence Ecosystem. In this case study we looked at innovations concerning increased patient involvement, stringent conflict of interest management, new medical publishing processes and new formats.

The case study also highlights limitations in making the Ecosystem work fully, with the critical steps of successful implementation and improvement of care remaining unanswered. The facilitation of rapid change in practice is itself a daunting challenge. Potential obstacles for practice-change in this case include cardiologists reluctant to change practice before the local protocols or the international guidelines on which they usually rely upon change, heart surgeons’ reluctance to lose a group of patients on whom they are used to operate, and a paucity of leadership in applying best current evidence in hospital programs.

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Other research projects

MAGICapp

Our authoring and publication platform for guidelines and evidence summaries

Our Team

Main researchers

Per Olav Vandvik MD PhD

Leader - MAGIC board

Dept. of Medicine, Gjøvik , Innlandet Hospital Trust- Norway
Dept. of Medicine, Lovisenberg Diaconal Hospital, Norway
Ass.professor, Faculty of Medicine, University of Oslo, Norway
Researcher, Norwegian Institute of Public Health, Norway

Linn Brandt MD

Integrations, Data and EHR - MAGIC board, PLUGGED-IN

Dept. of Medicine, Gjøvik , Innlandet Hospital Trust- Norway
Dept. of Medicine, Diakonhjemmet Oslo, Norway
PhD student, HELSAM, University of Oslo, Norway
 

Annette Kristiansen MD

Adaptation and Methods - SNAP-IT

Dept. of Medicine, Gjøvik , Innlandet Hospital Trust- Norway
Dept. of Medicine, Diakonhjemmet Oslo, Norway
PhD student, HELSAM, University of Oslo, Norway

Gordon Guyatt MD Professor

Mentor - MAGIC board

Dept. of Clinical Epidemiology and Biostatistics, McMaster University, Canada
 

Anja Fog Heen MD

Shared Decision Making - SHARE-IT

Dept. of Medicine, Gjøvik , Innlandet Hospital Trust- Norway
Dept. of Medicine, Lovisenberg Diaconal Hospital, Norway
PhD student, HELSAM, University of Oslo, Norway

Thomas Agoritsas MD PhD

MAGIC board, SHARE-IT, WikiRecs

Division of General Internal Medicine, University Hospitals of Geneva, Switzerland

Christopher Friis Berntzen MD

Dynamic Updating and Search - DYNAM-IT

Dept. of Medicine, Gjøvik , Innlandet Hospital Trust- Norway
Dept. of Medicine, Lovisenberg Diaconal Hospital, Norway
PhD student, HELSAM, University of Oslo, Norway

Romina Brignardello-Petersen DDS MSc PhD

Network Meta-Analysis

Dept. of Clinical Epidemiology and Biostatistics, McMaster University, Canada
 

Reed Siemieniuk MD

WikiRecs

Dept. of Clinical Epidemiology and Biostatistics, McMaster University, Canada
Dept. of Medicine, University of Toronto, Canada

Lyubov Lytvyn MSc

Patient Partnership - WikiRecs

Medical Researcher, Oslo University Hospital, Norway
Systematic Overviews through advancing Research Technology, Canada

Collaborating researchers

Pablo Alonso-Coello, MD, Ph.D

Pablo Alonso-Coello MD PhD

DECIDE Work Package 1 lead, MAGIC contributor

Hospital St. Pau, Barcelona, Spain

Joerg Meerpohl, MD

Joerg Meerpohl MD

MAGIC brainstormer

Deputy Director, German Cochrane Centre, Germany

Shaun Treweek, MD, Ph.D

Shaun Treweek MD PhD

DECIDE Coordinator, MAGIC investigator

Senior lecturer, University of Dundee, Scotland

Elie Akl, MD, Ph.D

Elie Akl MD PhD

MAGIC investigator

American University, Beirut, Lebanon

Design and development

Deno Vichas

Deno Vichas

Developer - MAGICapp

Fullstack Systems
San Francisco, USA

Joerg Meerpohl, MD

Rob Fracisco

Designer - MAGICapp

Fullstack Systems
San Francisco, USA

Shaun Treweek, MD, Ph.D

Frankie Achille

Designer - MAGIC, SHARE-IT

New Window
Oslo, Norway

Collaboration

Organizations and projects

The GRADE working group is a collection of organizations working together since 2001 to develop a common framework to improve quality of guideline development.

We use the GRADE methodology as the basis of all our work, and all MAGIC researchers are active members of the GRADE working group.

MAGICapp is built to facilitate development of guidelines developed with GRADE.

A research project funded by EUs 7th Framework program, running from 2011- to 2015.

MAGIC is a collaborator of DECIDE, participating in:
Working group 1: How to present guidelines to clinicians
Working group 3: How to present guidelines to patients
Working group 6: Toolkit development.

Epistemonikos is a searchable database of Evidence and studies, built on relations between studies and overviews based on the primary studies they include.

We work with them on the topic of data-flow, import of studies, and continuous updating.

The people behind Epistemonikos are also responsible for the technical development of the Interactive Summary of Findings (iSoF) framework and the Evidence to Recommendation/Decision (EtR) framework developed within DECIDE.

EBMeDS /Doudecim is a successful Decision support system/knowledge base from Finland.

They use the GRADE methodology and have been a long standing member of the GRADE working group. We work with them on the topic of data-flow, import of studies, and continuous updating.

Dr. Evidence have been promoting ‘Globalize Evidence, Localize recommendations’, something totally in line with our objectives.

We work together with them on the topic of data-flow, import/export of studies, and continuous updating.

McMaster Plus is a searchable database of High quality Evidence and studies. 4000 clinicians all over the world rate new studies from the top 180 journals for newsworthiness and implications for practice.

MAGIC supports GIN and would support the re-establishment of a new GINDER-service.

MAGIC is also a part of of the GIN Nordic group, trying to promote sharing of guideline knowledge in the Nordic countries.

MAGIC supports GIN and would support the re-establishment of a new GINDER-service.

MAGIC is also a part of of the GIN Nordic group, trying to promote sharing of guideline knowledge in the Nordic countries.

The Norwegian EMR vendor we work with on integrating the guidelines and doing research on usability. They are members of the Evicare project, that PLUGGED-IN is a part of.

A very successful knowledge database from US. They use the GRADE methodology and have been a long standing member of the GRADE working group.

Cochrane collaboration have been crucial to the involvement of Evidence Based Medicine.

They use the GRADE methodology and have been a long standing member of the GRADE working group. We work with people from Cochrane on the topic of data-flow, import of studies, and continuous updating.

Covidence is a web-based software designed specifically to perform the first stages of a systematic review.

It can be used by guideline panels that needs to make their own meta-analysis, but possibly also for reference inclusion and exclusion in the primary search for studies to use for effect estimates for the PICO questions you have in your guideline. We can currently import studies from Covidence and references, but are planning a closer integration in the future.

Disclaimer

The organizations above do not necessarily endorse MAGIC and our description of them are purely to help you navigate and get an idea of the landscape out there. We refer to the entities own web pages for official descriptions and endorsements.

Contact

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