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Dr. Maciej Trojanowski Greater Poland Cancer Registry, Poland |
Motivation for standing for election
During my tenure on the ENCR Steering Committee, I aim to address the following issues:
• Defining the role of cancer registry staff in the context of an increasingly digitalized data collection process.
• Establishing the profession of a cancer registrar/data manager, including the desired educational qualifications and minimum knowledge requirements.
• Implementing an e-learning platform where registrars can undertake certified courses. This is especially crucial for newcomers, as ENCR is not able to organize introductory courses on basic registration often enough.
• Enhancing the consistency of European cancer registry data through ongoing ENCR training, creating updated registry guidelines available in multiple languages, and promoting the use of the JRC-ENCR Data Quality Check Software.
• Staying up-to-date with advancements in medicine by gathering new data required for population-based epidemiological studies in oncology.
• Sharing best practices in developing the legal framework for cancer registries.
• Improving the quality of data related to cancer stage at diagnosis, which is vital for a more precise analysis of the effectiveness of oncological treatment in Europe.
• Expanding the sources of information available to European registries (including access to pathology reports and medical records) through relevant legal provisions.
• Preparing European registries for the implementation of the new ICD-11 and ICD-O-4 classifications.
• Updating guidelines for the registration of multiple primary tumours in Europe.
• Increasing the visibility of data from cancer registries among healthcare professionals and stakeholders by presenting it on a transparent web page (ECIS) and incorporating it into peer-reviewed publications.
Short CV
Maciej Trojanowski is the Director of the Greater Poland Cancer Registry, covering one of the most densely populated regions in Poland, with 3.5 million inhabitants. In the years 2018-2020, he served as a co-opted member of the ENCR Steering Committee, and from 2021 to 2023, he has been a full member of the ENCR Steering Committee. He holds a Master's degree in Public Health and specializes in Epidemiology. For over a decade, he has been actively involved in the cancer registration process in Poland.
Throughout his professional journey, Maciej has been through all stages of working within the registry. This includes the preparation of data from paper documentation, coding data into electronic databases (he is still coding data for specific and unusual cancer cases), data verification, and the preparation of statistics on cancer epidemiology in Greater Poland. He also worked on creating databases for research projects. Additionally, he conducts training sessions for medical staff involved in transmitting data to Polish cancer registries.
In addition to coordinating and overseeing the current activities of the Greater Poland Cancer Registry, Maciej places a strong emphasis on participating in international research projects. These projects offer valuable opportunities for external evaluation of the GPCR database. He was responsible, either individually or with the Polish National Cancer Registry Team, for preparing and correcting data in various databases, including those for the JRC-ENCR call for data, Concord-2 and 3, EURECCA Breast Study Group, European HR Study (focusing on lung and colon cancers), HERO-ESTRO Study, IICC-3, and NARECHEM-BT (related to childhood cancers and brain tumors). The creation of these datasets involved close collaboration with clinical experts.
Currently, Maciej is involved in analyzing the impact of the COVID-19 pandemic on cancer incidence in Greater Poland. In 2020, he has begun working with the National Cancer Registry on the e-KRN+ platform. As part of this project, he participates in creating and developing a new application for Polish cancer registries, with a particular focus on implementing validation from ENCR-QCS and expanding the scope of collected data (including biomarkers, relapses, and a broader range of TNM information). He is also engaged in the development of a Natural Language Processing (NLP) module embedded in the application, contributing to the preparation of a dataset for training NLP models and verifying their correctness.