Clinicians, diagnoses, decision making and the Phenome
We are working with clinicians to develop a reference library of (all) diseases – it sounds like it might be straightforward, but a useful, internationally validated resource is lacking. One of the reasons to develop such a resource is to help clinicians in the diagnosis and treatment of the range of conditions they see – which spans 66 specialities and 33 sub-specialities.
Anchoring our work in what health professionals do (in order to deliver good medical practice) we are developing new ways to think about the relation between quality of care – and its relation to data quality.
The Informatics Consult – feasibility to generate new evidence in clinical timescales?
Clinicians are often faced with a treatment dilemma; they are uncertain whether to give a drug or not. Indeed the majority of treatment recommendations in clinical guidelines are not supported by trial evidence; it is also common for patients to present treatment dilemmas which are not even mentioned in guidelines.
Cancer, multimorbidity and risk of death in the pandemic
Analysis of urgent referrals for cancer diagnosis data from eight UK hospitals alongside death records from the Office for National Statistics were used to examine the impact of COVID-19 on the prognosis of cancer patients.
To find out more and to get involved, contact Serina Hayes, Phenomics Programme Director.