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Untangling Data in Precision Oncology - A Model for Chronic Diseases?
1Institut Curie, Paris, France.
Yearbook of Medical Informatics
|August 22, 2020
Summary
Electronic health records (EHRs) are crucial for precision oncology, enabling detailed tumor analysis for personalized cancer treatments. Integrating new data types into hospital systems requires careful management to avoid errors while advancing patient care.
Area of Science:
- Healthcare Informatics
- Oncology
- Digital Health
Background:
- The increasing availability of diverse health data fuels advancements in oncology.
- Treatment paradigms are shifting towards targeted molecular therapies, necessitating sophisticated data management.
Purpose of the Study:
- To explore the integration of new data types within hospital infrastructures.
- To leverage electronic health records (EHRs) for improved cancer care and precision oncology.
Main Methods:
- Evolution from narrative medical notes to standardized forms and electronic health records (EHRs).
- Utilizing EHRs to capture and share patient data in binary format.
- Maintaining human oversight in data analysis to prevent algorithmic decision-making in critical care.
Main Results:
- EHRs have become integral to patient care and Molecular Tumor Boards.
- Advances in computation and Moore's Law have enhanced the utility of EHRs.
- EHRs provide detailed tumor descriptions and treatment options.
Conclusions:
- Precision oncology matches treatments to individual molecular profiles.
- Precision oncology principles are expanding beyond cancer to other disease areas.
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