Dispensing music as medicine to reduce anxiety and pain

Music has been proven to reduce anxiety by up to 44%, pain by 29% and a resulting reduction in the need for relevant drugs by 24%

(derived from an analysis of PubMed and Cochrane Library publications)

Catalogue fingerprinted for healthcare use

The brain responds to music more than any other stimulus. Our proprietary algorithms extract the relevant features from the digital DNA of a piece of music, resulting in a fingerprint for healthcare use.

Effectiveness improved via bio-feedback loop

Using a bespoke bio-feedback loop, we are able to monitor the physiological effect of a piece of music upon a listener and swap out tracks, using AI and machine learning, that fall outside of a predicted response threshold.

Constant refinement using AI & machine learning

In addition to the track swap out process, our AI and Machine learning components influence the auto-playlist creation process as well as providing evidence-based KPIs showing the service benefit and medication cost savings.

Trial Case Study Summary

Lancashire Teaching Hospital NHS Foundation Trust logo

“The patient was a 75 year old male with Vascular Dementia and known to have sundowning behaviour, presenting agitation.
The use of the MediMusic service saw a reduction in pre/post heart rate: 76bpm initially, settling at 60bpm (22% reduction). At the end of the playlist, agitation did not resume for about an hour afterwards. This is a positive outcome.”

Dr Jacqueline Twamley, Senior Academic Research Nurse, Centre for Health Research & Innovation, NIHR Lancashire Clinical Research Facility