Research and EBM Unit

EBM

Evidence-based medicine is the conscientious, explicit and judicious use of current best evidence in making decisions about the care of individual patients.

Recently, EBM has been described as the “integration of best research evidence with clinical expertise and patient values”.

Aim

The research and evidence-based medicine unit at the Faculty of Medicine aims to develop, teach, promote and disseminate better evidence for health care. This could be achieved through the research conducted by the faculty teaching board, faculty graduates and faculty students.

Vision

The EBM unit vision is to be a local and global source of high-quality evidence, on which clinical decisions can be reliably based.

To achieve this vision, the unit shall:

Generate and synthesize high-quality evidence that benefits patients and society.
Improve the diagnosis, prevention, and treatment of common primary care conditions.
Build innovative tools to increase the impact of healthcare data in the real world.
Deliver timely, innovative, and relevant outputs that directly affect policy and affect practice.
Develop tools and materials for the public to better understand research evidence and healthcare findings.
Build research capacity by supporting the next generation of research leaders.

Research and EBM Board

The EBM unit aspires to conduct research for the benefit of patients, providers, and society. Over 20 individuals work in the unit, with diverse backgrounds, including clinicians, methodologists, statisticians, and research administrators. We also have a global network of international research collaborators, supporting the delivery of our vision.

Research Philosophy

We align our research with the principles outlined in the EBM Manifesto.
In our research we seek to:

involve patients, health professionals, and policy makers in the prioritization, design, implementation, and dissemination of our results;
priorities systematic reviews and synthesis of existing evidence;
be relevant, replicable, and accessible to identified end users;
question clinical and research practices that may introduce biases, including research methods, scientific reporting, and conflicts of interests;
apply world-leading expertise in research that underpins regulations of medications and devices;
produce high-quality research that supports patient-focused clinical guidelines;
support quality improvement in existing research methods and introducing innovative methods;
share expertise and support the next generation of EBM research leaders.

Research methods

We use applied and translational research methods to generate new knowledge, in order to inform healthcare decision making. Furthermore, we use our skills and expertise to identify, develop, and appropriately apply existing and new research methods, to achieve our vision.

Examples of the research methods we use include:

Systematic reviews and evidence synthesis
Quantitative methods, including clinical trials, Diagnostic Test Accuracy, and Clinical audit
Data mining
Mixed methods, combining quantitative and qualitative methods
Meta-epidemiology
Investigative epidemiology
Data visualization
Data coding.

EBM

Evidence-based medicine is the conscientious, explicit and judicious use of current best evidence in making decisions about the care of individual patients.

Recently, EBM has been described as the “integration of best research evidence with clinical expertise and patient values”.

Aim

The research and evidence-based medicine unit at the Faculty of Medicine aims to develop, teach, promote and disseminate better evidence for health care. This could be achieved through the research conducted by the faculty teaching board, faculty graduates and faculty students.

Vision

The EBM unit vision is to be a local and global source of high-quality evidence, on which clinical decisions can be reliably based.

To achieve this vision, the unit shall:

Generate and synthesize high-quality evidence that benefits patients and society.

Improve the diagnosis, prevention, and treatment of common primary care conditions.

Build innovative tools to increase the impact of healthcare data in the real world.

Deliver timely, innovative, and relevant outputs that directly affect policy and affect practice.

Develop tools and materials for the public to better understand research evidence and healthcare findings.

Build research capacity by supporting the next generation of research leaders.

Research and EBM Board

Research Philosophy

We align our research with the principles outlined in the EBM Manifesto. In our research we seek to:

involve patients, health professionals, and policy makers in the prioritization, design, implementation, and dissemination of our results;

priorities systematic reviews and synthesis of existing evidence;

be relevant, replicable, and accessible to identified end users;

question clinical and research practices that may introduce biases, including research methods, scientific reporting, and conflicts of interests;

apply world-leading expertise in research that underpins regulations of medications and devices;

produce high-quality research that supports patient-focused clinical guidelines;

support quality improvement in existing research methods and introducing innovative methods;

share expertise and support the next generation of EBM research leaders.

Research methods

We use applied and translational research methods to generate new knowledge, in order to inform healthcare decision making. Furthermore, we use our skills and expertise to identify, develop, and appropriately apply existing and new research methods, to achieve our vision.

Examples of the research methods we use include:

Systematic reviews and evidence synthesis

Quantitative methods, including clinical trials, Diagnostic Test Accuracy, and Clinical audit

Data mining

Mixed methods, combining quantitative and qualitative methods

Meta-epidemiology

Investigative epidemiology

Data visualization

Data coding.

We align our research with the principles outlined in the EBM Manifesto.
In our research we seek to: