OBJECTIVES Pilot study for evaluation of record linking and potential analysis of combination of epidemiologic cancer registry data and personalized pathway of care identified by billing data using lung cancer as test illness for Austrian datasets in the years 2006 till 2011. METHODS Data sets are linked by anonymized distinct social insurance numbers of approximately 85 percent of all detected incident lung cancer patients in Austria in the years 2006 till 2011 with billing data on single person level. The calculated dataset deals as starting point for the analysis of the remaining lifetime distribution depending on age and TNM – state. Analysis of care classified by eight main categories given in hospitals coded by the MEL-system in combination with treatment using defined drugs is analysed and reported for further interpretation by the experts. An exploratory data analysis on the socio-economic standard and regional differences in Austrian federal states complete the pilot study. RESULTS Data for the whole Austrian health insured population, including incident cases for lung cancer over a time span of two years were analysed for the following chronic diseases detected by predefined rules on hospital diagnoses and drug prescription in the one year preceding patient history: COPD, diabetes and psychiatric illnesses. For the detected 6616 patients the probability of surviving is calculated and visualized by Kaplan-Meier-Curves. Exemplarily the one year survival is given: 75,44% and the 3-years life expectancy: ~1% Further results combining different influence factors on survival including data from the cancer registry information table are performed. CONCLUSIONS Combining data collected by the national epidemiological cancer registry system and personalized pathways of patient treatment in intramural and extramural care provides a broad basis for analysis concerning real world pathway comparison of cancer patients. This work can unlock potential in respect of defining clinical national cancer registries.