The Korean Triage and Acuity Scale (KTAS) Committee under the Korean Society of Emergency Medicine developed a Korean pre-hospital emergency patient classification tool (Pre-hospital Korean Triage and Acuity Scale [Pre-KTAS]) under contract from the Ministry of Health and Welfare, Korea. The classification tool was developed separately for adults and children. The patient’ s emergency level is classified into five distinct levels and is the same as the KTAS classification system, which is a hospital-level emergency patient classification tool.

While the Korean Triage and Acuity Scale (KTAS) was introduced in 2016 as a tool to identify patients at risk of catastrophic events, including death in the ED, the triage system for the pre-hospital stage still lacks evidence. The pre-hospital stage is characterized by time-sensitive and complex scenarios, where rapid and accurate decision-making is paramount to optimize patient outcomes. Despite the vital role of pre-hospital care providers, the invalidated and subjective current triage system consisting of 4-stages is still used at the pre-hospital stage, and hence, it needs to be modified to be more objective, standardized, and reliable. To improve the Korean emergency medical system, the pre-hospital KTAS (Pre-KTAS) was developed in 2020, and then two pilot projects were conducted in 2022 and 2023. This paper not only reveals the results of the first and second pilot projects for Pre-KTAS but also highlights the potential benefits of using this newly developed triage tool in the pre-hospital setting. Furthermore, this paper suggests ways to improve the emergency medical system (EMS) in Korea by improving patient safety, resource allocation, and overall emergency response efficiency.

Real-time reverse transcription (rRT)-PCR, which is the reference standard for the diagnosis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, generally involves a time-consuming and costly RNA extraction step prior to amplification. We evaluated the performance of the AdvanSure One-Stop COVID-19 Plus Kit (LG Chem, Seoul, Korea), a novel rRT-PCR assay that can detect SARS-CoV-2 within 90 minutes using a streamlined RNA extraction method. In total, 509 nasopharyngeal swab (NPS) specimens (SARS-CoV-2 positive: N=205; SARS-CoV-2 negative: N=304) previously tested using the PowerChek SARS-CoV-2 Real-time PCR Kit (Kogene Biotech, Seoul, Korea) were tested using the AdvanSure assay. The limit of detection (LOD) of the AdvanSure assay was determined using serially diluted inactivated SARS-CoV-2. The positive and negative percent agreements between the AdvanSure and PowerChek assays were 99.5% (204/205) and 99.3% (302/304), respectively. The LODs of the AdvanSure assay for SARS-CoV-2 nucleocapsid and spike/RNA-dependent RNA polymerase genes were 672 and 846 copies/mL, respectively. The results show that the performance of the AdvanSure assay is comparable to that of the PowerChek assay used for routine SARS-CoV-2 testing, suggesting that the AdvanSure assay is a useful diagnostic tool for rapid and accurate detection of SARS-CoV-2 infection.

Various vaccines have been developed to fight severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus responsible for the coronavirus disease 2019 pandemic.However, new variants of SARS-CoV-2 undermine the effort to fight SARS-CoV-2. Here, we produced S proteins harboring the receptor-binding domain (RBD) of the Omicron variant in plants. Plant-produced S proteins together with adjuvant CIA09A triggered strong immune responses in mice. Antibodies in serum inhibited interaction of recombinant human angiotensinconverting enzyme 2 with RBD of the Omicron variant, but not RBD of other variants. These results suggest that antibodies induced by RBD of the Omicron variant are highly specific for the Omicron RBD, but not for that of other variants.

Objective: This study aimed to predict the injury risk to attendants by simulating and analyzing the joint moment that occurs during wheelchair transportation for five different ramp ratios and five different velocities. Method: Three-dimensional musculoskeletal models and rigid structure of a standard wheelchair were developed using the AnyBody Modeling System. The ramp ratio was set to 1：6 (the steepest), 1：8, 1：10, 1：12, and 1：14 (the gentlest). The wheelchair speeds were set to 0.4, 0.5, 0.6, 0.7, and 0.8 m/s. Both the uphill and downhill movement conditions were investigated. Results: Most of the joint moments that occur in the wrist joint, elbow and shoulder while driving uphill increased or decreased proportionally to the slope and speed of the ramp. However, the external moment of the wrist occurring downhill was largely influenced by the slope, and the joint moment of the shoulder showed a dynamic pattern of change in the middle of the ramp in spite of constant driving speed. Conclusion The influence that occurs during deceleration while wheelchair driving on a ramp is primarily on the proximal shoulder joint, and the influence of the release control in the middle of driving primarily causes loads on the distal wrist and forearm. A high risk of damage exists because the moment change value of the load on the shoulder joint is relatively large and increases with inclination. The increase in wrist abduction moment for deceleration while driving downhill also suggests the possibility of damage.

Purpose: This study examined the recognition of rehabilitative robots for treatment in physical therapists. Methods: This study surveyed 100 physical therapists in Seoul and Gyeonggi-do using Google Form, an online survey tool. The questionnaire consisted of 21 questions, including eight questions on the general characteristics, 13 questions on the recognition of rehabilitative robots. Results: The general characteristics of the physical therapists showed differences and influences on recognition of rehabilitative robots, and there were statistically significant differences. There were significant differences in the recognition of rehabilitation robots according to general characteristics in gender, age, education degree, type of hospital, average weekly working time, and treatment field. Multiple regression analysis found that gender and the type of hospital influenced the recognition of rehabilitation robots. Conclusion Physical therapists showed differences in recognition of rehabilitative robots according to their general characteristics, and gender and the type of hospital influence the recognition of rehabilitation robots. Sufficient systematic education programs should be provided, and physical therapists require policy adjustments to increase their accessibility to rehabilitation robots through continuing education.

Purpose: This study examined the recognition of rehabilitative robots for treatment in physical therapists. Methods: This study surveyed 100 physical therapists in Seoul and Gyeonggi-do using Google Form, an online survey tool. The questionnaire consisted of 21 questions, including eight questions on the general characteristics, 13 questions on the recognition of rehabilitative robots. Results: The general characteristics of the physical therapists showed differences and influences on recognition of rehabilitative robots, and there were statistically significant differences. There were significant differences in the recognition of rehabilitation robots according to general characteristics in gender, age, education degree, type of hospital, average weekly working time, and treatment field. Multiple regression analysis found that gender and the type of hospital influenced the recognition of rehabilitation robots. Conclusion Physical therapists showed differences in recognition of rehabilitative robots according to their general characteristics, and gender and the type of hospital influence the recognition of rehabilitation robots. Sufficient systematic education programs should be provided, and physical therapists require policy adjustments to increase their accessibility to rehabilitation robots through continuing education.

Synergistic integration of the Internet of Things (IoT), cloud computing, and big data technologies in healthcare have led to the notion of “smart health.” Smart health is an emerging concept that refers to the provision of healthcare services for prevention, diagnosis, treatment, and follow-up management at any time or any place by connecting information technologies and healthcare. As a significant breakthrough in smart healthcare development, IoT-enabled smart devices allow medical centers to carry out preventive care, diagnosis, and treatment more competently. This review focuses on recently developed patient health monitoring platforms based on IoT-enabled smart devices that can collect real-time patient data and transfer information for assessment by healthcare providers, including doctors, hospitals, and clinics, or for self-management. We aimed to summarize the available information about recently approved devices and state-of-the-art developments through a comprehensive, systematic literature review. In this review, we also discuss possible future directions for the integration of cloud computing and blockchain, which may offer unprecedented breakthroughs in on-demand medical services. The combination of IoT with real-time, remote patient monitoring empowers patients to assert more control over their care, thereby allowing them to actively monitor their particular health conditions.
Cloud Computing ; Delivery of Health Care ; Diagnosis ; Follow-Up Studies ; Health Personnel ; Humans ; Internet* ; Monitoring, Physiologic ; Self Care

Due to a mistake in reference by the author submission in this article, an erroneous grant number had been published.

Neuromodulation was introduced for patients with poor outcomes from the existing traditional treatment approaches. It is well-established as an alternative, novel treatment option for voiding dysfunction. The current system of neuromodulation uses an open-loop system that only delivers continuous stimulation without considering the patient’s state changes. Though the conventional open-loop system has shown positive clinical results, it can cause problems such as decreased efficacy over time due to neural habituation, higher risk of tissue damage, and lower battery life. Therefore, there is a need for a closed-loop system to overcome the disadvantages of existing systems. The closed-loop neuromodulation includes a system to monitor and stimulate micturition reflex pathways from the lower urinary tract, as well as the central nervous system. In this paper, we reviewed the current technological status to measure biomarker for closed-loop neuromodulation systems for voiding dysfunction.
Biomarkers* ; Central Nervous System ; Humans ; Implantable Neurostimulators ; Reflex ; Urinary Bladder Diseases ; Urinary Bladder* ; Urinary Tract ; Urination