Case-based visualization of a patient cohort using SEER epidemiologic data.
Data from cancer registries can be used to track the epidemiology of cancer and can potentially serve to guide individual diagnostic and treatment decisions. Even though some cancer registry datasets have been made publicly available for scientific and clinical use, few applications have so far provided direct access to these data from within the patient context of an electronic patient record. The goal of this project was to implement a proof-of-concept integration of the public SEER (Surveillance, Epidemiology and End Results) cancer registry dataset with a digital breast cancer tumor board at a German university hospital and to determine its utility in the clinical settings. The integration was successfully established, using data from routine documentation to provide dynamic visualizations of cohort composition and Kaplan-Meier survival plots. Evaluation feedback was favorable regarding the concept and implementation, but highlighted that important data elements, e.g. receptor status data, were missing in the SEER dataset, limiting clinical value of the system.
Friedrich-Alexander-University Erlangen/Nuernberg.
Christian
C
Maier
Friedrich-Alexander-University Erlangen/Nuernberg.
Thomas
T
Bürkle
Friedrich-Alexander-University Erlangen/Nuernberg.
Hans-Ulrich
HU
Prokosch
Department of Medical Information and Communication Technology, Erlangen University Hospital.
Thomas
T
Ganslandt
D001943:Breast Neoplasms / Q000175:diagnosis / Q000401:mortality* / Q000628:therapy; D015331:Cohort Studies; D057225:Data Mining / Q000379:methods*; D057286:Electronic Health Records / Q000458:organization & administration*; D005260:Female; D006801:Humans; D053208:Kaplan-Meier Estimate; D008498:Medical Record Linkage / Q000379:methods*; D057285:Precision Medicine / Q000379:methods*; D015995:Prevalence; D012042:Registries / Q000706:statistics & numerical data*; D012307:Risk Factors; D018511:Systems Integration; D014584:User-Computer Interface