Quantum computing for smart healthcare

Abstract

The study introduces an innovative technique to create next-generation mental health monitoring in smart hospitals by harnessing state-of-the-art quantum-based nanosensors to precisely track stress, anxiety, depression, and postpartum depression. As noted, there is considerable demand in the United States for advanced mental health monitoring—as indicated by a 3:1 demand-to-supply ratio—necessitating new pathways to deliver effective intervention. The quantum nanosensors feature extraordinary precision, facilitating real-time and high-resolution measurement of physiological and neurochemical markers for these conditions. They are so sensitive that they permit early diagnosis and continuous surveillance to support timely and targeted interventions. As emphasized in the paper, a host of rugged encryption protocols are included to protect the security and privacy of sensitive patient data. A significant advance for mental healthcare, the study depicts a radical concept for diagnosis and treatment, replacing smart hospitals’ ability to keep up with the burgeoning US demand for increasingly truly personalized, accurate mental health interventions.