Electronic medical record quaity impact (eMEDI-QI) Study (Old ID 27069)

Collaborator

This study involves application of a daa extraction tool to detect patients at risk for familial hypercholesterolaemia (FH). People with FH are at inceased risk of premature death from coronary artery diseases. The dominent genetic natgure means at least one parent of the patient will have FH, and 50% and 25% chance of their siblings and children having FH respectively. It's estimated only 10% of patients are currently identified. The aim is to identify patients with FH and target the 50% of first-degree relatives in families with FH. Identifying patients with FH benefits with patient, siblings, parents and future generations.

17 Dec 2020 - 28 Feb 2022

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