Rapid Learning for Lung Cancer

Maastricht Radiation Oncology

Status: Completed

Conditions: Lung Cancer

Study type: Observational

Funder types: Other

Identifiers

NCT01949259

Rapid learning lung cancer

Details and patient eligibility

About

A retrospective, data mining project that re-uses routine patient care data for decision support systems.

Full description

By installing tools that extract clinical data from electronic health records and image data from the Picture Archiving and Communication System, decision support systems are built and validated that can predict survival and treatment toxicities of lung cancer patients treated with radiotherapy.

Enrollment: 10,000 patients

Sex: All

Volunteers: No Healthy Volunteers

Inclusion and exclusion criteria

Inclusion Criteria:

• Patients notes as suffering from lung cancer in at least one clinical data source.

Trial design

10,000 participants in 1 patient group

Retrospective collection

Description:

Retrospective collection of data from included lung cancer patients.