A multicentric study to explore variability when clinicians are intrepreting lung function tests. Comparison with results of in-house built software for automatic interpretation.
This is a multi-center non-interventional retrospective study that will use data obtained from clinical routine. In the hospital, subjects with or without respiratory complaints undergo subset of (or complete) pulmonary function tests if clinically indicated. Results of these tests, expressed as numerical values are send to the clinical workstation (KWS) for immediate clinical use. These results are subsequently being interpreted by a clinician. A random sample of 50 lung function printouts of subjects followed at the Leuven pulmonary service with a final diagnosis of a respiratory disease have been randomised. These anonymized printouts will be given to different pulmonologists for examination in 18 different centers and compared with the interpretation of in-house developed software.
Study Type
OBSERVATIONAL
Enrollment
50
UZ Leuven
Leuven, Belgium
Interclass correlation coëfficiënt for whole group
Variation in preferred primary diagnosis of respiratory disease given by every physician for every case (selection of one diagnosis out of a fixed panel of 9 possible diagnoses).
Time frame: 6 months
Interclass correlation coëfficiënt for every case
Variation in preferred primary diagnosis of respiratory disease given by every physician for an individual case (selection of one diagnosis out of a fixed panel of 9 possible diagnoses).
Time frame: 6 months
Accuracy of physicians expressed as a percentage of correct diagnoses per case (%)
Comparison of diagnostic labels per case provided by the physicians with gold standard diagnosis based on clinical characteristics, complete pulmonary function test data and all other investigations (CT scan, biochmestry, functional test, biopsy, etc...) needed to come to a gold standard diagnosis.
Time frame: 6 months
Accuracy of physicans expressed as a percentage of correct diagnoses in total group (%)
Comparison of diagnostic labels per case provided by the physicians with gold standard diagnosis based on clinical characteristics, complete pulmonary function test data and all other investigations (CT scan, biochmestry, functional test, biopsy, etc...) needed to come to a gold standard diagnosis.
Time frame: 6 months
Accuracy of physicians expressed as a percentage of correct diagnoses per hospital (group) (%)
Comparison of diagnostic labels per case provided by the group of physicians per hospital with gold standard diagnosis based on clinical characteristics, complete pulmonary function test data and all other investigations (CT scan, biochmestry, functional test, biopsy, etc...) needed to come to a gold standard diagnosis.
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Time frame: 6 months
Accuracy of software expressed as a percentage of correct diagnoses in total group, per hospital and per case
Comparing labels of in-house developed software for the clinical interpretation and diagnostic labeling of complete pulmonary function tests with GOLD standard based on all additional tests
Time frame: 6 months
Comparison of accuracy (% of correct diagnoses) of physicians with software
Comparing the diagnostic labels provided by in-house developed software for the clinical interpretation and diagnostic labeling of complete pulmonary function tests with those of physicans (in total group, per hospital and per case)
Time frame: 6 months