Responsible health consumer data analysis and ADM
Focus Area(s): Health
Research Program: Data
Health care service providers are increasingly seeking to use advanced data analytics and automated decision making to improving services and for predictive insights. By better understanding the everyday experiences of people living with mental ill-health, for example, services can improve the allocation of resources and enhance health outcomes. Accessing health consumer voices and experiences directly through social data sets (such as online health forums) can have an important impact on optimising decision making, but also raises ethical issues and data management and analysis challenges.
Drawing on cutting edge practices in text data mining and NLP analysis, this project develops a model for ethical and responsible mental health consumer data analysis. It operationalises data partnerships and implements data analysis to improve healthcare work, with a focus on community mental health support, and ethical, inclusive and participatory practices.