Case study on communicating with research ethics committees about minimizing risk through software: an application for record linkage in secondary data analysis.
Cason SchmitAlva O FerdinandTheodoros GiannouchosHye Chung KumPublished in: JAMIA open (2024)
First, we found fundamental disagreements in how some IRB experts view risks in secondary data research. Such disagreements are consequential because they can affect determination outcomes and might suggest IRBs at different institutions might come to different conclusions regarding similar study protocols. Second, the highest ranked risks and benefits of privacy-enhancing software in our study were societal rather than individual. The highest ranked benefits were facilitating more research and promoting responsible data governance practices. The highest ranked risks were risk of invalid results from systematic user error or erroneous algorithms. These societal considerations are typically more characteristic of public health ethics as opposed to the bioethical approach of research ethics, possibly reflecting the difficulty applying a bioethical approach (eg, informed consent) in secondary data studies. Finally, the development of privacy-enhancing technology for secondary data research depends on effective communication and collaboration between the privacy experts and technology developers. Privacy is a complex issue that requires a holistic approach that is best addressed through privacy-by-design principles. Privacy expert participation is important yet often neglected in this design process. This study suggests best practice strategies for engaging the privacy community through co-developing companion documents for software through participatory design to facilitate transparency and communication. In this case study, the final template IRB application and responses we released with the open-source software can be easily adapted by researchers to better communicate with their IRB when using the software. This can help increase responsible data governance practices when many software developers are not research ethics experts.
Keyphrases
- big data
- data analysis
- machine learning
- public health
- artificial intelligence
- health information
- healthcare
- primary care
- electronic health record
- global health
- physical activity
- mental health
- risk assessment
- human health
- genome wide
- high resolution
- antiretroviral therapy
- mass spectrometry
- human immunodeficiency virus
- climate change
- skeletal muscle
- hiv infected