Oncochain develops a research platform that facilitates the retrospective collection of de-identified real-world data in oncology, enabling the creation of operational patient data repositories for research studies. By generating actionable analytics, the platform enhances study design processes and accelerates the publication of scientific articles, ultimately improving the quality of oncological care.
Funding
Funding not disclosed
Founders
Product
Problem
Cancer research is hindered by the difficulty of collecting and organizing retrospective real-world data (RWD) from diverse sources. Manual data curation is time-consuming and prone to errors, delaying study design and the publication of scientific findings. The lack of readily available, anonymized patient data repositories limits the ability to generate actionable insights for improving oncological care.
Solution
Oncochain offers OncoAbstrakt, a software platform designed to streamline the retrospective collection of de-identified real-world data in oncology. The platform enables the creation of operational patient data repositories, facilitating multi-centric academic studies and accelerating cancer research. By integrating interoperability standards and international classifications, Oncochain ensures data quality and compliance with GDPR and privacy regulations. The platform generates analytics to catalyze study design processes and expedite the publication of scientific articles.
Target Audience
The primary users are researchers and healthcare providers in oncology who need to collect, organize, and analyze retrospective real-world data for research purposes.
Features
- Software for retrospective data curation named OncoAbstrakt
- Creation of operational patient data repositories for RWD studies
- Anonymized data collection from multiple sources
- Analytics generation to catalyze study design processes
- Framework for multi-centric academic studies
- Expedites scientific article publishing
- Specific timeline for each patient, considering relevant guidelines for fast input of relevant information
- GDPR compliance and adherence to the latest privacy by design rules
- Captures longitudinal data for better scientific relevance
- Integration of the latest interoperability standards and international classifications