Baig Mirza Mansoor, GholamHosseini Hamid, Moqeem Aasia A, Mirza Farhaan, Lindén Maria
School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Private Bag 92006, Auckland, 1142, New Zealand.
School of Innovation Design and Engineering, Mälardalen University, Västerås, Sweden.
J Med Syst. 2017 Jul;41(7):115. doi: 10.1007/s10916-017-0760-1. Epub 2017 Jun 19.
The aim of this review is to investigate barriers and challenges of wearable patient monitoring (WPM) solutions adopted by clinicians in acute, as well as in community, care settings. Currently, healthcare providers are coping with ever-growing healthcare challenges including an ageing population, chronic diseases, the cost of hospitalization, and the risk of medical errors. WPM systems are a potential solution for addressing some of these challenges by enabling advanced sensors, wearable technology, and secure and effective communication platforms between the clinicians and patients. A total of 791 articles were screened and 20 were selected for this review. The most common publication venue was conference proceedings (13, 54%). This review only considered recent studies published between 2015 and 2017. The identified studies involved chronic conditions (6, 30%), rehabilitation (7, 35%), cardiovascular diseases (4, 20%), falls (2, 10%) and mental health (1, 5%). Most studies focussed on the system aspects of WPM solutions including advanced sensors, wireless data collection, communication platform and clinical usability based on a specific area or disease. The current studies are progressing with localized sensor-software integration to solve a specific use-case/health area using non-scalable and 'silo' solutions. There is further work required regarding interoperability and clinical acceptance challenges. The advancement of wearable technology and possibilities of using machine learning and artificial intelligence in healthcare is a concept that has been investigated by many studies. We believe future patient monitoring and medical treatments will build upon efficient and affordable solutions of wearable technology.
本综述的目的是调查临床医生在急性护理和社区护理环境中采用可穿戴患者监测(WPM)解决方案时面临的障碍和挑战。目前,医疗保健提供者正在应对日益增长的医疗保健挑战,包括人口老龄化、慢性病、住院费用以及医疗差错风险。WPM系统通过启用先进传感器、可穿戴技术以及临床医生与患者之间安全有效的通信平台,是应对其中一些挑战的潜在解决方案。共筛选了791篇文章,本综述选取了其中20篇。最常见的发表渠道是会议论文集(13篇,占54%)。本综述仅考虑了2015年至2017年发表的近期研究。已确定的研究涉及慢性病(6篇,占30%)、康复(7篇,占35%)、心血管疾病(4篇,占20%)、跌倒(2篇,占10%)和心理健康(1篇,占5%)。大多数研究聚焦于WPM解决方案的系统方面,包括基于特定领域或疾病的先进传感器、无线数据收集、通信平台和临床可用性。当前的研究正在通过本地化传感器 - 软件集成来推进,以使用不可扩展的“竖井式”解决方案解决特定用例/健康领域的问题。在互操作性和临床接受度挑战方面还需要进一步开展工作。可穿戴技术的进步以及在医疗保健中使用机器学习和人工智能的可能性是许多研究探讨过的概念。我们相信未来的患者监测和医疗治疗将基于可穿戴技术高效且经济实惠的解决方案来构建。