The LUCID National Data Stream project aims at studying how Swiss clinical practice
and low-value care has evolved in the last decade. The project is creating a National
Data Stream aggregating relevant data from consenting patients that have been
hospitalized in one of five university hospitals across Switzerland: Zurich, Basel,
Bern, Lausanne and Geneva. This data includes existing hospital data and Patient
Reported Outcomes (PROs), the latter being health-related data provided directly by
patients about how they feel, function, or perceive their health and treatment. The
whole data is harmonized to feed a dedicated medical registry, and then used to
design and analyze precise numerical low-value care (LVC) indicators. This will make
it possible to study quantitatively how frequent different types of LVC are, and the
evolution of clinical practice in Swiss hospitals. By identifying factors leading to the
occurrence of low-value care, the ultimate goal of LUCID is to effectively identify
ways to improve healthcare processes.
Marie Méan (CHUV), Christian Lovis (UniGE/HUG), Jean-Louis Raisaro (CHUV), Drahomir Aujesky (Inselspital), Stefano Bassetti (USB), Christophe Meier (USZ), Jerome Stirnemann (HUG), Alexander Leichtle (Inselspital), Carole Aubert (Inselspital), Florence Vallelian (USZ), Bram Stieltjes (USB), Oksana Riba Grognuz (EPFL), Florian Rüter (USB), Manuela Eicher (CHUV), Arnaud Chiolero (UniFr), Jérémie Despraz (CHUV)