Institute of Health and Biomedical Innovation and School of Public Health and Social Work, Queensland University of Technology, Brisbane, Queensland, Australia
Jamieson Trauma Institute, Royal Brisbane and Women's Hospital, Metro North Hospital and Health Service, Herston, Queensland, Australia.
Inj Prev. 2020 Aug;26(4):400-401. doi: 10.1136/injuryprev-2019-043393.
The volume, velocity and variety of data collected about individuals have increased exponentially over the last decade, presenting new injury surveillance opportunities to identify risk factors, monitor trends, and evaluate the efficacy of interventions. But does the hype around big data and artificial intelligence (AI) apply to the injury prevention space, and how veracious is surveillance in this era? This commentary discusses the digital transformation of health as applied to injury prevention, but cautions on the challenges of maintaining data quality in integrated systems and discusses the need for an injury informatics strategy moving forward.
过去十年中,关于个体的收集数据的数量、速度和种类呈指数级增长,为识别风险因素、监测趋势和评估干预措施的效果提供了新的伤害监测机会。但是,大数据和人工智能(AI)的炒作是否适用于伤害预防领域,以及在这个时代监测的准确性如何?本文述评讨论了应用于伤害预防的健康数字化转型,但就整合系统中保持数据质量的挑战提出了警示,并讨论了未来伤害信息学战略的必要性。