Department of Advanced Information Technology, Kyushu University, Fukuoka 819-0395, Japan.
School of Business, Emporia State University, Emporia, KS 66801, USA.
Int J Environ Res Public Health. 2020 Jun 30;17(13):4709. doi: 10.3390/ijerph17134709.
Medical staff carry an inordinate risk of infection from patients, and many doctors, nurses, and other healthcare workers are affected by COVID-19 worldwide. The unreached communities with noncommunicable diseases (NCDs) such as chronic cardiovascular, respiratory, endocrine, digestive, or renal diseases became more vulnerable during this pandemic situation. In both cases, Remote Healthcare Systems (RHS) may help minimize the risk of SARS-CoV-2 transmission. This study used the WHO guidelines and Design Science Research (DSR) framework to redesign the Portable Health Clinic (PHC), an RHS, for the containment of the spread of COVID-19 as well as proposed corona logic (C-Logic) for the main symptoms of COVID-19. Using the distributed service platform of PHC, a trained healthcare worker with appropriate testing kits can screen high-risk individuals and can help optimize triage to medical services. PHC with its new triage algorithm (C-Logic) classifies the patients according to whether the patient needs to move to a clinic for a PCR test. Through modified PHC service, we can help people to boost their knowledge, attitude (feelings/beliefs), and self-efficacy to execute preventing measures. Our initial examination of the suitability of the PHC and its associated technologies as a key contributor to public health responses is designed to "flatten the curve", particularly among unreached high-risk NCD populations in developing countries. Theoretically, this study contributes to design science research by introducing a modified healthcare providing model.
医护人员从患者身上感染的风险极高，全世界许多医生、护士和其他医护人员都受到了 COVID-19 的影响。在这种大流行情况下，患有非传染性疾病（NCD）的未接触社区变得更加脆弱，例如慢性心血管、呼吸、内分泌、消化或肾脏疾病。在这两种情况下，远程医疗系统（RHS）都可能有助于最大限度地降低 SARS-CoV-2 传播的风险。本研究使用世界卫生组织的指南和设计科学研究（DSR）框架，重新设计了远程医疗系统（RHS）便携式医疗诊所（PHC），以遏制 COVID-19 的传播，并为 COVID-19 的主要症状提出了冠逻辑（C-Logic）。使用 PHC 的分布式服务平台，经过培训的医护人员配备适当的检测工具包，可以对高风险个体进行筛查，并帮助将分诊优化到医疗服务。带有新分诊算法（C-Logic）的 PHC 根据患者是否需要转移到诊所进行 PCR 测试对患者进行分类。通过修改后的 PHC 服务，我们可以帮助人们提高知识、态度（感觉/信念）和自我效能，以执行预防措施。我们对 PHC 及其相关技术作为公共卫生应对措施的关键贡献的适宜性进行了初步检查，旨在“拉平曲线”，特别是在发展中国家未接触的高危 NCD 人群中。从理论上讲，这项研究通过引入改良的医疗保健提供模型为设计科学研究做出了贡献。
