One of the goals of the Centre is to study and research the data gathered from the numerous clinics. This data will be used to further direct new cases or for publication to support classical homeopathy as an effective mode of medical treatment.

Because of the holistic (individual) approach to patient treatment homeopathy does not fit well with the standard double blind clinical trials that are so familiar with normal allopathic drug studies.

Because of this, a different or novel approach is needed to either prove or to increase credibility to the anecdotal evidence gathered.

Below gives a very brief outline of our approach:-

Quantitative data analysis

Quantitative studies will be done with existing case sheets.  i.e. true quantitative data like blood sugar can be measured and analysed.

Video and photo evidence

Over the years a great deal of video and photo evidence of case progression has been collected. These are being analysed to show convincing “before-during-after” presentations.  Furthermore, new video and photos are being captured in a standardised way.

Suppression and models of health studies.

We appreciate how difficult it is to prove the effectiveness of homeopathy without the support of good double blind clinical trial results.  It is for this reason that we will attempt to come at the problem from a different angle.  Homeopathy, although only two hundred years since it’s discovery has been around for as long as any other natural set of laws and principles.  Our research department will attempt to demonstrate the natural laws and principles of health through clinical result modeling.

The cause and progression of disease has been effectively modeled.  Firstly, Hahnemann suggested and then Vithoulkas developed a model for health and how disease progresses from one named disease to the next (with predispositions) with subsequent suppressions.  These patterns have been observed in the clinic over the years.  It is our aim to study the variables in a patients’ health (e.g. present complaints/previous suppressed complaints/familial predisposition/living conditions) and use these to attempt to predict how the disease would progress if left either untreated or following further suppressions.  This study if successful will be ground breaking in the understanding of health and its relationship to suppressions.