Better curation of underlying data, (for example phenotyping) can be used to avoid potentially inherent biases and to generate more transparency in the data and algorithms. When people are not buried in a number, the impact is triumphant; trust and understanding emerge as do the people who are at risk and would have gone unseen or misdiagnosed, otherwise. This clarity is core to better care quality, efficiency and impact.