Why healthcare cannot—and should not—become data-driven, despite the many promises of intensified data sourcing. In contemporary healthcare, everybody seems to want more data, of higher quality, on more people, and to use this data for a wider range of purposes. In theory, such pervasive data collection should lead to a healthcare system in which data can quickly, efficiently, and unambi…
By portraying the circumstances of people living with chronic conditions in radically different contexts, from Alzheimer’s patients in the UK to homeless people with psychiatric disorders in India, Managing Chronicity in Unequal States offers glimpses of what dealing with medically complex conditions in stratified societies means. While in some places the state regulates and intrudes on the m…
Appropriate mathematical tools and methodologies are critical for ensuring robust and reliable computational model predictions based on medical and healthcare data in the era of the digital health revolution (Duggal et al., 2018). Patient-specific approaches are being increasingly pursued, with simulations benchmarked by clinical data (e.g., brain activity recordings; Breakspear, 2017) obtain…
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