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Augmented Reality in Heat Stroke Emergency Medical Developing Design 增强现实技术在中暑急救医疗开发设计中的应用
Pub Date : 1900-01-01 DOI: 10.54941/ahfe1003469
Shuo-fang Liu, Chien Sheng Fei
Global temperature extremes have increased both the incidence and fatality rate of heat stroke, and the majority of cases take place outside of hospitals, without the assistance of medical personnel. People who work in manual labour ignore vital physiological signals and are unaware that heat stroke is happening, losing the crucial 30 minutes for rescue and risking permanent physical harm or death.The general public is unaware of the proper treatment for heat stroke, even though medical specialists can frequently recognize labour-related heat stroke rapidly. With the development of technology, augmented reality (AR) technology has been incorporated into a variety of industries, providing the medical sector with cutting-edge applications in the area of emergency care. Medical practitioners can swiftly and repeatedly exercise their medical skills by using the advantages of visual medicine when augmented reality technology is used in conjunction with applications for clinical training and practice. Numerous studies have adapted augmented reality technology into applications to help first responders make crucial ambulance decisions in increasingly complicated situations with a visual aid interface, improving the effectiveness of emergency care. In conclusion, this study focuses on how augmented reality technology may be used to create an interface that enables members of the general public to obtain care for heat stroke victims most quickly and effectively possible. This project adopts a Quality function Deployment to develop a user interface for heatstroke first aid that will satisfy users' demands and design criteria. The user interface is meant to give them a quick and easy way to understand how to manage heat stroke victims before they seek medical attention.
全球极端气温增加了中暑的发病率和死亡率,大多数病例发生在医院外,没有医务人员的帮助。从事体力劳动的人忽视了重要的生理信号,没有意识到中暑正在发生,失去了关键的30分钟救援时间,并冒着永久性身体伤害或死亡的风险。一般公众不知道中暑的正确治疗方法,尽管医学专家经常能迅速识别出与劳动有关的中暑。随着技术的发展,增强现实(AR)技术已被纳入多个行业,为医疗部门提供了在急救领域的前沿应用。当增强现实技术与临床培训和实践应用相结合时,医疗从业者可以利用视觉医学的优势,快速、反复地锻炼他们的医疗技能。许多研究已经将增强现实技术应用于应用程序,以帮助急救人员在日益复杂的情况下通过视觉援助界面做出关键的救护车决策,从而提高紧急护理的有效性。总之,本研究的重点是如何使用增强现实技术来创建一个界面,使公众能够最快速有效地获得中暑患者的护理。本项目采用质量功能部署(Quality function Deployment)来开发一个满足用户需求和设计标准的中暑急救用户界面。用户界面的目的是让他们在中暑患者寻求医疗救助之前,以一种快速简便的方式了解如何管理中暑患者。
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引用次数: 0
Technological Innovations for ADHD treatment ADHD治疗的技术创新
Pub Date : 1900-01-01 DOI: 10.54941/ahfe1002108
María López, Mónica Acosta-Rodas, Mónica Bolaños-Pasquel, Jaime Moscoso, C. Ramos-Galarza
The attention-deficit/ hyperactivity disorder (ADHD), is a neurobiological disorder and belongs to those called neurodevelopmental disorders, since it is commonly diagnosed in childhood, and persists into adulthood. The ADHD is divided by its central symptomatology in hyperactivity, and inattention, variable according to the case. It is one of the most diagnosed disorders in the child and education psychology fields, it has been considered that every child and adolescent must have an integral treatment plan, where technology advances can be part of it, and being available at home, becoming psycho-educative, and supportive in the treatment process. Thus, in this article, a revision of current applications about ADHD is presented.
注意力缺陷/多动障碍(ADHD)是一种神经生物学障碍,属于神经发育障碍,因为它通常在儿童时期被诊断出来,并持续到成年。ADHD的主要症状是多动症和注意力不集中,根据具体情况而有所不同。它是儿童和教育心理学领域诊断最多的疾病之一,人们一直认为每个儿童和青少年都必须有一个完整的治疗计划,其中技术进步可以成为其中的一部分,并且可以在家中获得,在治疗过程中成为心理教育和支持。因此,在这篇文章中,对目前ADHD的应用进行了修订。
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引用次数: 0
Innovative Agonology – Definition, Detailed Theories, Laws, and General Rule of Struggle 创新斗争论——斗争的定义、详细理论、规律和一般规律
Pub Date : 1900-01-01 DOI: 10.54941/ahfe1003497
Roman Maciej Kalina
The idea of ‘innovative agonology’ came into being in 2016 in the Archives of Budo journal with the thematic section ‘Prophylactic and Therapeutic Agonology”. Innovative agonology (IA) is an applied science dedicated to promotion, prevention and therapy related to all dimensions of health and regarding the optimization of activities that increase the ability to survive (from micro to macro scales). The basic method of IA in the research and application sphere is a complementary approach in the broadest possible cognitive-behavioural perspective.At the essence of any particular science is the substantiation of its claims. Since any time one needs to either maintain health, survive, eliminate or slow down the effects of destructive factors, the key phenomenon is some form of combat, so the justification for these necessary actions is provided by the science of struggle. All five existing theories of struggle are published in Polish, with the terminology of Tadeusz Kotarbiński’s (1938) general theory of struggle (agonology) prevailing over the others. Kotarbiński placed military struggles on the ‘ground floor’, parliamentary and judicial disputes, commercial competition, sports fights, etc. on the ‘middle floor’, and he reserved the top floor’ for the general theory of action (praxeology), which includes agonology  but not vice versa. Since the usefulness of almost every scientific discovery is considered from a military perspective, it is not surprising that another theory (detailed one) by Józef Konieczny concerns destruction (1969). Paradoxically, Jarosław Rudniański published the theory of non-armed struggle during martial law in Poland under a camouflaged title (1983). In 1989, when Russian troops were still stationed (they left Poland on September 17, 1993), he re-issued the work (without camouflage) and supplemented it with the theory of compromise. At that time (1991) I published the theory of defensive struggle together with the theoretical basis for complementary prevention and therapy of somatic and mental health and increasing personal safety (survival). The law of the only possibility, as defined in my theory of combat sports (2000), is universal enough to be used in interpretations of even such remote phenomena as miraculous healings.Rudniański defined general rule of struggle as “an action in which a material or surrounding all the action’s time is in independent motion from an acting one, creating simultaneously strong and various resistance; act this way to be able at any moment possibly change both a plan of action and its manner”. Such a broad rule encompasses every case of human struggle with the need to overcome (fight) against factors that threaten one’s own or others’ health or life, as well as the defence of universally recognized values, nature, cultural products, technology, etc.Familiarity (by at least one member of the research or practical problem-solving team) with the languages and algorithms of detailed struggle theo
“创新疼痛学”的概念于2016年在《武道档案》杂志的主题部分“预防和治疗疼痛学”中产生。创新激动学(IA)是一门应用科学,致力于与健康的各个方面有关的促进、预防和治疗,以及关于提高生存能力的活动的优化(从微观到宏观尺度)。在认知行为学的研究和应用中,IA的基本方法是一种最广泛的认知行为学视角下的互补方法。任何一门科学的本质都是证实其主张。因为任何时候一个人都需要保持健康,生存,消除或减缓破坏性因素的影响,关键现象是某种形式的战斗,所以这些必要行动的理由是由斗争科学提供的。现存的五种斗争理论都是用波兰语出版的,Tadeusz Kotarbiński(1938)的一般斗争理论(斗争学)的术语占主导地位。Kotarbiński把军事斗争放在“底层”,议会和司法纠纷,商业竞争,体育比赛等放在“中层”,他把顶层留给“一般行动理论(行动学)”,其中包括痛苦学,但反之亦然。由于几乎每一项科学发现的用途都是从军事角度考虑的,因此,Józef Konieczny的另一个理论(详细的理论)涉及破坏(1969)也就不足为奇了。矛盾的是,Jarosław Rudniański在一个伪装的标题下发表了波兰戒严令期间的非武装斗争理论(1983年)。1989年,当俄罗斯军队仍然驻扎在波兰时(他们于1993年9月17日离开波兰),他重新出版了这部作品(没有伪装),并补充了妥协理论。当时(1991年),我发表了防御性斗争理论,以及补充预防和治疗身心健康和增加人身安全(生存)的理论基础。在我的格斗运动理论(2000)中所定义的唯一可能性法则是足够普遍的,甚至可以用于解释像奇迹般的治愈这样遥远的现象。Rudniański将斗争的一般规则定义为“一种行动,在这种行动中,一种物质或周围的所有行动时间都独立于行动的物质运动,同时产生强大的和各种各样的阻力;以这种方式行动,可以随时改变行动计划及其方式”。这一宽泛的规则包括人类为克服(对抗)威胁自身或他人健康或生命的因素而进行的斗争,以及为捍卫公认的价值观、自然、文化产品、技术等而进行的斗争。(研究小组或实际问题解决小组中至少有一名成员)熟悉详细斗争理论的语言和算法,以及互补性研究方法的基本知识;是将遗漏重要细节的可能性降到最低的先决条件。
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引用次数: 0
How self-report affects digital health-related behavior change 自我报告如何影响数字健康相关行为改变
Pub Date : 1900-01-01 DOI: 10.54941/ahfe1002093
Yuan Yin, Yurong Yu
This study aims to identify how self-report method affects digital health-related behavior change and further detect its potential broader application. Two groups of 10 participants engaged in a 28-day behavior change program with one group using self-report and the other group not. After the experiment, the group using self-report participated in a semi-structured interview to report their experiences. The initial experiment showed that self-report did not affect behavior; this indicated that self-report is an appropriate method to collect behavior change data. However, the semi-structured interviews suggested that self-reporting brought benefits and encouraged users to further improve their behavior. The paper, thus, summarized that perceived effects of self-report in behavior change are stronger than actual effects of self-report.
本研究旨在确定自我报告方法如何影响数字健康相关行为改变,并进一步检测其潜在的更广泛应用。两组10名参与者参加了一个为期28天的行为改变项目,一组使用自我报告,另一组不使用。实验结束后,使用自我报告的小组参加了半结构化的访谈,报告了他们的经历。最初的实验表明,自我报告并不影响行为;这表明自我报告是收集行为改变数据的一种合适的方法。然而,半结构化访谈表明,自我报告带来了好处,并鼓励用户进一步改善他们的行为。因此,本文总结了自我报告对行为改变的感知效应强于自我报告的实际效应。
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引用次数: 0
Direct Weighting Interactive Design of Patient Preferences for Shared Decision Making in Orthopaedic Practice 骨科实践中共享决策中患者偏好的直接加权交互设计
Pub Date : 1900-01-01 DOI: 10.54941/ahfe1002105
Ben Schooley, Akanksha Singh, S. Floyd, S. Pill, John Brooks
Patients need the ability to accurately and efficiently communicate their preferences across outcome domains to their healthcare providers.1-7 No existing system provides an efficient and timely approach to collect and communicate patient preferences across outcome domains to support shared decision making (SDM) in orthopaedic practice.2-4,8-19 The overarching goal of this research is to design, build, and test an app that collects baseline patient preferences and health status across orthopaedic outcomes and reports this information to the provider for use in patient care. A core component of the app is a Direct-Weighting (DW) preference assessment approach, originated from our prior research, and applied in a touchscreen based interactive design. It is envisioned that patients will use the app after scheduling a first visit to a surgeon for a new orthopaedic condition. Direct weighting (DW) approaches calculate patient-specific preference weights across outcomes by asking patients to disperse portions of a hypothetical “whole” across outcomes in a manner that reflects a patient’s preferences.20 DW has low respondent burden but it requires respondents to make “implicit” comparisons which may be difficult to conceptualize.20 However, the DW approach has become generally accepted in the quality-of-life literature and it has been shown that patients dividing up pieces of a “pie” across quality-of-life domains yields valid representations of patient preferences across the domains.20-22 However, the DW approach has not been validated with specific clinical scenarios using a clinically focused set of outcomes or by using a mobile software app. Drawing on prior research, we iteratively design and develop the app with input from prior DW research, informaticians, and clinicians. We use a qualitative approach to pilot test the app with 20 first-time visit patients presenting with joint pain and/or function deficiency. Participants were interviewed about their outcome preferences for care, used the app to prioritize outcome preferences, answered interview questions about their experience using the app, and completed a mHealth App Usability Questionnaire (MAUQ). Interview questions focused on the utility and usability of the mobile app for communicating with their provider, and capability of the app to capture their outcome preferences. Results validated five core preference domains, with most users dividing their 100-point allocation across 1-3 domains. The tool received moderate to high usability scores. Patients with older age and lower literacy found the DW approach more difficult in terms of allocating 100 points across 5 domains. Suggestions for DW interface interaction improvement included instantiation of a token/points oriented DW preference scoring methodology rather than a 1-10 sliding scale approach for improved preference weighting cognition and SDM with a provider. As more patient reported outcome (PRO) apps hit the marketplace across a broad
患者需要能够准确有效地将他们的偏好跨结果域传达给他们的医疗保健提供者。1-7没有现有的系统提供有效和及时的方法来收集和交流患者的偏好,以支持骨科实践中的共享决策(SDM)。2-4,8-19本研究的总体目标是设计、构建和测试一个应用程序,该应用程序收集骨科结果的基线患者偏好和健康状况,并将这些信息报告给提供者,以便在患者护理中使用。该应用程序的一个核心组件是直接加权(DW)偏好评估方法,起源于我们之前的研究,并应用于基于触摸屏的交互设计。预计患者将在为新的骨科疾病安排第一次访问外科医生后使用该应用程序。直接加权(DW)方法通过要求患者以反映患者偏好的方式将假设“整体”的部分分散到结果中,从而计算出患者特定的结果偏好权重DW的被调查者负担低,但它要求被调查者进行“隐性”比较,这可能难以概念化然而,DW方法在生活质量文献中已被普遍接受,并且已经表明,患者在生活质量领域中划分“馅饼”的各个部分,可以有效地表示患者在各个领域的偏好。20-22然而,DW方法尚未通过临床集中结果集或使用移动软件应用程序在特定的临床场景中得到验证。根据先前的研究,我们根据先前的DW研究、信息学家和临床医生的输入反复设计和开发应用程序。我们使用定性方法对20名首次就诊的关节疼痛和/或功能缺陷患者进行了试点测试。参与者接受了关于他们对护理结果偏好的访谈,使用该应用程序对结果偏好进行优先排序,回答了关于他们使用该应用程序体验的访谈问题,并完成了移动健康应用程序可用性问卷(MAUQ)。面试问题主要集中在移动应用程序与供应商沟通的实用性和可用性,以及应用程序捕捉他们的结果偏好的能力。结果验证了五个核心偏好域,大多数用户将他们的100分分配给1-3个域。该工具获得了中等到较高的可用性分数。年龄较大和识字率较低的患者发现DW方法在5个域中分配100分方面更加困难。关于DW接口交互改进的建议包括实例化一个面向令牌/积分的DW偏好评分方法,而不是1-10滑动刻度方法,以改进偏好加权认知和与提供商的SDM。随着越来越多的患者报告结果(PRO)应用程序在广泛的健康状况下进入市场,这些结果为DW方法和交互设计提供了证据,用于患者向其提供者传达他们的治疗偏好。鲍姆hauer JF, Bozic KJ。基于价值的医疗保健:临床决策中患者报告的结果。中华口腔外科杂志,2016;43(6):1375-1378。Slim K, Bazin JE。从知情同意到手术共同决策。中华口腔外科杂志,2019;36(3):391 - 391。Damman OC, Jani A, de Jong BA,等。在与患者的医疗接触中使用prom和共享决策:为患者提供基于价值的医疗保健的机会。中华临床医学杂志,2020;26(2):524-540.4。Sorensen NL, Hammeken LH, Thomsen JL, Ehlers LH。在膝关节和髋关节骨关节炎的临床决策中实施患者报告的结果:一项探索性综述。骨骼肌与骨骼肌疾病杂志,2019;20(1):2350。王晓明,王晓明。医疗服务中患者价值定义的概念框架。中华手外科杂志,2018;43(11):1030-1034.6。Charles C, Gafni A, Whelan T.医患相遇中的决策:对共享治疗决策模型的重新审视。社会科学与医学,1999;49(5):651-661.7。Niburski K, Guadagno E, Mohtashami S, Poenaru D.手术中的共同决策:文献综述。健康展望。2020.8。Selten EM, Geenen R, van der Laan WH,等。膝关节和髋关节骨关节炎患者选择治疗原因的层次结构和重要性:一项概念图研究。风湿病学(牛津大学)。56 2017;(2): 271 - 278.9。李建军,徐军,李建军,李建军,李建军。外科医生对共同决策的看法。中华临床医学杂志,2020;7(1):8-18。采用病人报告的结果措施来传达手术可能带来的好处。患者相关结局均值。2018;9:263-266。
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引用次数: 0
Ergonomic problems in surgical smoke control during surgery 手术烟气控制中的人机工程学问题
Pub Date : 1900-01-01 DOI: 10.54941/ahfe1003495
K. Shinohara
Surgical smoke is the plume and air contaminants produced by energy devices such as electrocautery and laser scalpels during the surgery. Surgical smoke consists of fine particles containing pathogenic microorganisms and chemical substances from high-temperature carbonized tissues, and poses a health risk to medical personnel during the surgery. The COVID-19 pandemic has highlighted the importance of surgical smoke control. As a surgical smoke protection on the medical staff side, personal protective equipment such as N-95 high-performance masks are widely used. On the other hand, the surgical smoke exhaust system includes ventilation equipment for the entire operating room and a device that directly aspirates surgical smoke in the operative field. Wearing a mask for a long time poses problems such as fatigue, hypercapnia and loss of concentration. Increasing the smoke evacuation efficiency of a surgical instrument-mounted smoke evacuation device poses problems such as deterioration of operability and patient temperature maintenance. Surgical instruments equipped with smoke suction tubes suffer from deterioration in operability due to increased size and weight. Increased ventilation in the surgical environment may cause drying of organs and hypothermia. Surgical instruments with smoke exhaust devices require further reduction in weight, diameter, and ergonomic design.  In addition, it is necessary to equip surgical instruments and the ventilation function of the operating room with an automatic maintenance function of body temperature and body cavity temperature and humidity.It is important to enlighten medical workers about the importance of measures against surgical smoke, and to improve the smoke exhaust system considering maintenance of physiological environment and solve ergonomic problems.
手术烟雾是指在手术过程中由电灼和激光手术刀等能源设备产生的羽流和空气污染物。手术烟雾是由高温炭化组织中含有致病微生物和化学物质的细颗粒组成的,对手术过程中医务人员的健康构成威胁。2019冠状病毒病大流行凸显了手术控烟的重要性。N-95高性能口罩等个人防护装备作为医务人员侧的手术防烟装备得到了广泛的应用。另一方面,所述手术排烟系统包括用于整个手术室的通风设备和在手术野中直接抽吸手术烟气的装置。长时间戴口罩会导致疲劳、高碳酸血症和注意力不集中等问题。提高手术器械安装式排烟装置的排烟效率会带来操作性恶化和患者体温维持等问题。装有吸烟管的手术器械由于体积和重量的增加,操作性下降。手术环境中增加通气可能导致器官干燥和体温过低。带有排烟装置的手术器械需要进一步减少重量、直径和符合人体工程学的设计。此外,还需要为手术器械和手术室的通风功能配备体温和体腔温湿度自动维护功能。因此,应提高医务工作者对手术防烟措施的认识,从维护生理环境和解决人体工程学问题的角度出发,改进排烟系统。
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引用次数: 0
Brain-Tactile Interactive Device for Dementia Prevention of the Early Elderly 预防老年早期痴呆的脑触觉交互装置
Pub Date : 1900-01-01 DOI: 10.54941/ahfe1003488
Tyan Yu Wu, Wen Yi Lin
The increase in aging populations worldwide has led to an increase in dementia cases, a reality that may significantly raise social costs. Reducing the number of dementia cases is likely a good strategy to directly decrease social expenses while ensuring a better quality of life among the elderly. Previous research results have shown that deep depression or loneliness among the elderly is highly likely to accompany dementia syndrome. The elderly in particular may feel lonely or depressed when living independently or losing contact with their children and friends (Khosravi et al., 2016). The problem of dementia involves a variety of complex issues ranging from decreased social interaction to a lack of physical and mental activities. Experts have suggested that the best way to reduce dementia risk is to create a device that can satisfy several of the above-mentioned issues in one. For instance, a device that provides both entertainment and brain training at the same time. This study has developed such a device, called the Brain-Tactile Interactive Board (BTIB), that young elderly (ages 55 to 65 years old) populations can use as a possible preventative measure against dementia. The BTIB can enhance elderly brain stimulation and cognition through physical interaction and math calculation activities. These activities enable users to fulfill their social urges while reducing dementia risk and promoting happiness and well-being.
世界范围内老龄化人口的增加导致痴呆症病例的增加,这一现实可能会显著提高社会成本。减少痴呆症患者是直接减少社会支出,同时确保老年人生活质量的好策略。先前的研究结果表明,老年人的深度抑郁或孤独很可能伴随痴呆综合征。特别是老年人在独立生活或与孩子和朋友失去联系时可能会感到孤独或沮丧(Khosravi et al., 2016)。痴呆症的问题涉及各种复杂的问题,从社会交往减少到缺乏身体和精神活动。专家建议,降低痴呆症风险的最佳方法是制造一种能同时满足上述几个问题的设备。例如,一种同时提供娱乐和大脑训练的设备。这项研究开发了这样一种设备,称为脑触觉互动板(BTIB),年轻的老年人(55至65岁)可以使用它作为预防痴呆症的可能措施。BTIB可以通过身体互动和数学计算活动增强老年人的大脑刺激和认知能力。这些活动使用户能够满足他们的社交需求,同时降低痴呆风险,促进幸福和福祉。
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引用次数: 0
Expanding Our Grasp: Artificial Intelligence as the Next Leap Forward in Healthcare Quality 扩大我们的掌握:人工智能是医疗质量的下一个飞跃
Pub Date : 1900-01-01 DOI: 10.54941/ahfe1003467
J. Kalra, Patrick J Seitzinger
Healthcare quality and improvement relies on recognizing and improving patters of practice. AI involves self-learning systems using machine learning and pattern recognition to emulate thought processes typically conducted by humans. The purpose of this project was to assess the current state and challenges of healthcare quality and to charter a path forward for innovative applications of Artificial Intelligence technology to strengthen healthcare strategies. Knowledge integration was conducted across medical disciplines to identify key challenges in healthcare delivery and assess how Artificial Intelligence can be leveraged to strengthen healthcare quality. Currently, approximately half of the global population spends less than 5 minutes with their physician during doctor visits. It takes on average of 23.1 seconds for a physician to interrupt patients while they are telling their story. Most patients around the world will experience one or more diagnostic errors in their lifetime. Systematic reviews and narrative reviews of the available evidence report varying global diagnostic error rates ranging from 5% to 23.5%. Currently the physician suicide rate that is 1.5 to 4.5 times higher than that of the general population. Between 30-50% of medical students and residents experience burnout. Burnout is nearly doubling the rate of medical errors, and physicians involved in major errors are experiencing a threefold increase in suicidal ideation. AI technology has the potential to have transformative effects on increasing diagnostic accuracy, mmitigating medical errors, screening and early diagnosis, ddetermining disease susceptibility and progression. Advantages of AI include efficiency, accuracy, prediction/modelling, standardization, immune to fatigue, self-correcting abilities, and accuracy. Drawbacks of AI include developmental costs, unclear legislation, integration issues, lack of explainability, insufficient digital literacy, limited data sharing, and fear of the known. Even with unprecedented innovations in healthcare, we must utilize tried and true methods of healthcare assurance and improvement including identifying vulnerabilities, mitigating biases, and ensuring health equity. AI presents a tool to address longstanding issues in healthcare delivery and achieve a caliber of healthcare quality that was previously beyond our grasp.
医疗保健质量和改进依赖于认识和改进实践模式。人工智能涉及使用机器学习和模式识别来模拟通常由人类进行的思维过程的自我学习系统。该项目的目的是评估医疗保健质量的现状和挑战,并为人工智能技术的创新应用开辟一条道路,以加强医疗保健战略。跨医学学科进行了知识整合,以确定医疗保健服务中的关键挑战,并评估如何利用人工智能来提高医疗保健质量。目前,全球约有一半的人口在看医生时与医生相处的时间不到5分钟。医生打断病人讲述自己的故事平均需要23.1秒。世界上大多数患者在其一生中都会经历一次或多次诊断错误。对现有证据的系统评价和叙述性评价报告了不同的全球诊断错误率,从5%到23.5%不等。目前医生的自杀率是一般人群的1.5到4.5倍。30-50%的医科学生和住院医生经历过倦怠。职业倦怠使医疗差错率几乎翻了一番,而涉及重大差错的医生的自杀意念增加了三倍。人工智能技术有可能在提高诊断准确性、减轻医疗差错、筛查和早期诊断、确定疾病易感性和进展方面产生变革性影响。人工智能的优势包括效率、准确性、预测/建模、标准化、抗疲劳、自我纠正能力和准确性。人工智能的缺点包括开发成本、立法不明确、整合问题、缺乏可解释性、数字素养不足、数据共享有限以及对已知的恐惧。即使在医疗保健领域有了前所未有的创新,我们也必须利用经过验证的、真正的医疗保障和改进方法,包括识别漏洞、减轻偏见和确保医疗公平。人工智能提供了一种工具,可以解决医疗保健服务中长期存在的问题,并实现以前我们无法掌握的医疗保健质量。
{"title":"Expanding Our Grasp: Artificial Intelligence as the Next Leap Forward in Healthcare Quality","authors":"J. Kalra, Patrick J Seitzinger","doi":"10.54941/ahfe1003467","DOIUrl":"https://doi.org/10.54941/ahfe1003467","url":null,"abstract":"Healthcare quality and improvement relies on recognizing and improving patters of practice. AI involves self-learning systems using machine learning and pattern recognition to emulate thought processes typically conducted by humans. The purpose of this project was to assess the current state and challenges of healthcare quality and to charter a path forward for innovative applications of Artificial Intelligence technology to strengthen healthcare strategies. Knowledge integration was conducted across medical disciplines to identify key challenges in healthcare delivery and assess how Artificial Intelligence can be leveraged to strengthen healthcare quality. Currently, approximately half of the global population spends less than 5 minutes with their physician during doctor visits. It takes on average of 23.1 seconds for a physician to interrupt patients while they are telling their story. Most patients around the world will experience one or more diagnostic errors in their lifetime. Systematic reviews and narrative reviews of the available evidence report varying global diagnostic error rates ranging from 5% to 23.5%. Currently the physician suicide rate that is 1.5 to 4.5 times higher than that of the general population. Between 30-50% of medical students and residents experience burnout. Burnout is nearly doubling the rate of medical errors, and physicians involved in major errors are experiencing a threefold increase in suicidal ideation. AI technology has the potential to have transformative effects on increasing diagnostic accuracy, mmitigating medical errors, screening and early diagnosis, ddetermining disease susceptibility and progression. Advantages of AI include efficiency, accuracy, prediction/modelling, standardization, immune to fatigue, self-correcting abilities, and accuracy. Drawbacks of AI include developmental costs, unclear legislation, integration issues, lack of explainability, insufficient digital literacy, limited data sharing, and fear of the known. Even with unprecedented innovations in healthcare, we must utilize tried and true methods of healthcare assurance and improvement including identifying vulnerabilities, mitigating biases, and ensuring health equity. AI presents a tool to address longstanding issues in healthcare delivery and achieve a caliber of healthcare quality that was previously beyond our grasp.","PeriodicalId":389399,"journal":{"name":"Healthcare and Medical Devices","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115881405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Usability Validation of Complex Medical Systems 复杂医疗系统的可用性验证
Pub Date : 1900-01-01 DOI: 10.54941/ahfe1003471
Ana Cristina Barbosa Medeiros, Molly Smyth
The end goal of the application of Human Factors to the development of a safety-critical medical device is to validate the device’s safety and effectiveness in the hands of intended users. Generally, the complexity of validation studies varies according to the device intricacy. In the case of complex medical systems, such as a robotic surgical system which can be used for prolonged periods by multiple user groups at the same time and may interact with other devices in the operating room, the planning and execution of such studies require much more thinking, organization, and resources. Bearing that in mind, we have grouped the effort involved in validating complex medical systems into four categories for an optimized, practical approach. This paper discusses these four categories and provides essential guidance, based on our experience.
将人为因素应用于安全关键型医疗设备开发的最终目标是验证设备在预期用户手中的安全性和有效性。通常,验证研究的复杂性根据设备的复杂性而变化。在复杂的医疗系统中,例如机器人手术系统,它可以被多个用户组同时长时间使用,并且可能与手术室中的其他设备交互,这类研究的计划和执行需要更多的思考、组织和资源。考虑到这一点,我们将验证复杂医疗系统所涉及的工作分为四类,以获得优化的实用方法。本文根据自己的经验,对这四种类型进行了探讨,并提供了必要的指导。
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引用次数: 0
Usability Evaluation of Intravascular Administration Set with Safety Lock Regulator to Prevent Medication Error 带安全锁调节器的血管内给药装置防止用药错误的可用性评价
Pub Date : 1900-01-01 DOI: 10.54941/ahfe1003494
Yourim Kim, Wonseuk Jang
The safety lock regulator is part of an intravascular administration set with a safety lock to control the infusion rate of fluid and prevent accidents in which fluid is excessively injected due to unexpected events. This study aims to evaluate the usability and satisfaction of intravascular administration set with a safety lock regulator through a usability test. In the usability test, consisting of 22 tasks and 5 scenarios, experienced nurses with an average experience of 6.6 years or more participated to perform tasks and evaluate satisfaction. we collected a number of observational data such as task completion, task completion with an issue and not completion as well as subjective data such as user satisfaction scores and comprehensive opinions. As a result of the evaluation, the success rate of the entire task was 96%, and there were almost no use errors at 4%. The root causes of the observed use errors were low risk due to the lack of understanding of the tasks. The user satisfaction with the 10 questionnaires evaluated on the 5-point Likert scale showed 4.7 scores for the user manual and 4.4 scores for the intravascular administration set. In addition, comprehensive opinions such as user improvement requirements for medical devices and specific reasons for satisfaction were collected. This study confirms that users can safely perform tasks of the use scenario without serious use errors and that safety was improved by preventing operations of the non-medical person by making it difficult to unlock the safety lock regulator. In future studies, it is expected that it will be possible to develop an intravascular administration set that further improves usability and safety by deriving user requirements from the collected comprehensive opinions.
安全锁调节器是血管内给药装置的一部分,具有安全锁,以控制液体的注射速率,防止因意外事件而过量注射液体的事故。本研究旨在通过可用性测试,评估安全锁调节器血管内给药装置的可用性和满意度。可用性测试包括22个任务和5个场景,由平均经验6.6年及以上的经验丰富的护士参与执行任务并评估满意度。我们收集了任务完成情况、有问题完成情况、未完成情况等观察性数据,以及用户满意度评分、综合意见等主观数据。经过评估,整个任务的成功率为96%,4%的使用错误几乎为零。由于缺乏对任务的理解,所观察到的使用错误的根本原因是低风险的。用户对10份问卷的满意度以5分Likert量表进行评估,用户手册评分为4.7分,血管内给药组评分为4.4分。此外,收集了用户对医疗器械的改进要求、满意的具体原因等综合意见。本研究证实,用户可以安全地执行使用场景的任务而不会出现严重的使用错误,并且通过使安全锁调节器难以解锁来防止非医疗人员的操作,从而提高了安全性。在未来的研究中,预计将有可能开发出一套血管内给药系统,通过从收集到的综合意见中得出用户需求,进一步提高可用性和安全性。
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引用次数: 0
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Healthcare and Medical Devices
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