Leveraging Digital Technology and Artificial Intelligence to Describe the Real World Belgian Chronic Lymphocytic Leukemia Patient Population [BE-CLLEAR]

Study type

• Study topic:
  Disease /health condition
• Study type:
  Non-interventional study
• Scope of the study:
  Disease epidemiology

  Drug utilisation
• Data collection methods:
  Secondary use of data

Non-interventional study

• Non-interventional study design:
  Cohort

Study drug and medical condition

• Medical condition to be studied:
  Chronic lymphocytic leukaemia

Population studied

• Short description of the study population:
  CLL patients diagnosed between 1 January 2018 and 31 October 2021.
• Estimated number of subjects:
  500

Study design details

• Study design:
  Multicenter study (n = 4) analyzing routinely collected data from pseudonymized electronic health records (EHRs) using natural language processing (NLP) for unstructured sources. The algorithm mapped variables to a standard terminology, generating OMOP CDM databases, validated per hospital
• Main study objective:
  - Proof of concept for novel and scalable methodology in CLL ; - Characterize clinical and demographic patient profile; - Asses biomarker testing and treatment patterns against evolving guidelines ;
• Setting:
  Belgium, diagnosis between 2018 and 2021