Zulueta John, Leow Alex D, Ajilore Olusola
Department of Psychiatry, College of Medicine (all authors), and Department of Bioengineering and Computer Science, College of Engineering (Leow), all at the University of Illinois at Chicago.
Focus (Am Psychiatr Publ). 2020 Apr;18(2):175-180. doi: 10.1176/appi.focus.20190042. Epub 2020 Apr 23.
Current management of psychiatric disorders relies heavily on retrospective, subjective reports provided by patients and their families. Consequently, psychiatric services are often provisioned inefficiently and with suboptimal outcomes. Recent advances in computing and sensor technologies have enabled the development of real-time monitoring systems for the diagnosis and management of psychiatric disorders. The state of these technologies is rapidly evolving, with passive monitoring and predictive modeling as two areas that have great potential to affect psychiatric care. Although outpatient psychiatry probably stands to benefit the most from the use of real-time monitoring technologies, there are also several ways in which inpatient psychiatry may also benefit. As the capabilities of these technologies increase and their use becomes more common, many ethical and legal issues will need to be considered. The role of governmental regulatory bodies and nongovernmental organizations in providing oversight of the implementation of these technologies is an active area of discussion.
目前精神疾病的管理在很大程度上依赖于患者及其家属提供的回顾性主观报告。因此,精神科服务往往提供效率低下,效果也不尽如人意。计算和传感器技术的最新进展推动了用于精神疾病诊断和管理的实时监测系统的发展。这些技术的状态正在迅速演变,被动监测和预测建模是两个对精神科护理有巨大潜在影响的领域。虽然门诊精神科可能从使用实时监测技术中获益最大,但住院精神科也可能以多种方式受益。随着这些技术能力的提高及其使用变得更加普遍,许多伦理和法律问题将需要加以考虑。政府监管机构和非政府组织在监督这些技术实施方面的作用是一个活跃的讨论领域。