Health analytics refers to the use of large amounts of collected data to provide organisations with useful information and improve patient care. These insights are developed in analytical disciplines to drive data-driven decision making. In turn, these decisions improve planning, management, measurement, learning, and ultimately the quality of patient care.
As healthcare organisations around the world strive to better coordinate with care teams, deliver more with less, and focus on improving patient care, analytics will be especially important. Building analytical competencies can help healthcare organisations leverage big data to create actionable insights that healthcare providers, leaders in the healthcare and hospital system, and those working in government healthcare and human services can use to improve outcomes and offer value to the people they serve.
Lines of research:
- Biomedical Signal Analysis
- Causal inference methodology in biomedicine
- Clinical research
- Computational Neuroscience
- Imaging diagnosis
- Systems Neuroscience