Intellectual Ventures Global Good Fund, Bellevue, Washington.
Am J Trop Med Hyg. 2018 Jan;98(1):9-14. doi: 10.4269/ajtmh.17-0477.
Most health care in low-income countries is delivered at a primary care level by health workers who lack quality training and supervision, often distant from more experienced support. Lack of knowledge and poor communication result in a poor quality of care and inefficient delivery of health services. Although bringing great benefits in sectors such as finance and telecommunication in recent years, the Digital Revolution has lightly and inconsistently affected the health sector. These advances offer an opportunity to dramatically transform health care by increasing the availability and timeliness of information to augment clinical decision-making, based on improved access to patient histories, current information on disease epidemiology, and improved incorporation of data from point-of-care and centralized diagnostic testing. A comprehensive approach is needed to more effectively incorporate current digital technologies into health systems, bringing external and patient-derived data into the clinical decision-making process in real time, irrespective of health worker training or location. Such dynamic clinical algorithms could provide a more effective framework within which to design and integrate new digital health technologies and deliver improved patient care by primary care health workers.
大多数低收入国家的医疗保健服务都是由缺乏优质培训和监督的初级保健工作者提供的,他们往往远离更有经验的支持。知识的缺乏和沟通不畅导致医疗服务质量差和效率低下。尽管近年来在金融和电信等领域带来了巨大的好处,但数字革命对卫生部门的影响微乎其微且不一致。这些进步提供了一个机会,可以通过增加信息的可用性和及时性来增强临床决策,从而在基于改善对患者病史、疾病流行病学的最新信息以及更好地整合来自床边和集中诊断测试的数据的基础上,来彻底改变医疗保健。需要采取综合方法,更有效地将当前的数字技术纳入卫生系统,将外部和患者提供的数据实时纳入临床决策过程,而不受卫生工作者培训或地点的影响。这种动态临床算法可以为设计和整合新的数字健康技术以及通过初级保健工作者提供更好的患者护理提供更有效的框架。