Medical device-related pressure injury (MDRPI) is a kind of pressure injury that occurs in the course of diagnosis and treatment, and its appearance is similar to that of medical device. Neonatal intensive care unit (NICU) infants are more likely to develop MDRPI than children and adults because of the physiological characteristics of skin and the influence of disease. At present, the occurrence of MDRPI in NICU infants is attracting worldwide attention. Its treatment and nursing consume a large amount of medical resources, which not only affect the outcome of the disease, but also increase the economic burden of the family and society. This article summarizes the MDRPI from three aspects: summary, influencing factors, and evaluation tools. It is expected that NICU nurses will carry out large sample clinical investigation of MDRPI in the future, so as to provide a reference for risk prediction model and risk assessment tools to identify high-risk infants and take effective measures in advance to reduce the incidence of MDRPI.
Internet of Things (IoT) technology plays an important role in smart healthcare. This paper discusses IoT solution for emergency medical devices in hospitals. Based on the cloud-edge-device architecture, different medical devices were connected; Streaming data were parsed, distributed, and computed at the edge nodes; Data were stored, analyzed and visualized in the cloud nodes. The IoT system has been working steadily for nearly 20 months since it run in the emergency department in January 2021. Through preliminary analysis with collected data, IoT performance testing and development of early warning model, the feasibility and reliability of the in-hospital emergency medical devices IoT was verified, which can collect data for a long time on a large scale and support the development and deployment of machine learning models. The paper ends with an outlook on medical device data exchange and wireless transmission in the IoT of emergency medical devices, the connection of emergency equipment inside and outside the hospital, and the next step of analyzing IoT data to develop emergency intelligent IoT applications.
Real-world data (RWD) in clinical research on specific categories of medical devices can generate sufficient quality evidence which will be used in decision making. This paper discusses the limitations of traditional randomized controlled trials in clinical research of medical devices, summarizes and analyses the applicable conditions of real-world evidence (RWE) for medical devices, interprets the new FDA guidance document on the characteristics of RWD for medical devices, in order to provide evidence for the use of RWE in medical devices in our country.
Objective To introduce the basic information about mad cow disease and the current status of safety control of medical devices derived from mammalian animal tissues. Methods Literature concernedwas reviewed intensively. Results Mad cow disease, also knownas bovine spongiform encephacitis (BSE)， is generally considered from the samesource of Scrapie, and they are caused by the same kind of sponginess brain tissue pathological changes. Mad cow disease is caused by the misfolding of a small protein called Prion. This disease has the character of slowly breaking down the central neuron system of animals. Conclusion Further researches can provide evaluation for safety considerations of medical devices deriving from animal.
In recent years, the research on artificial intelligence medical devices has risen markedly along with the expanding application scenarios, exhibiting prominent interdisciplinary characteristics. From 2000 to 2024, the variety of research in artificial intelligence medical devices has significantly increased, while the balance of disciplines has slightly declined, and Simpson's diversity index has continuously increased. Medicine and biology are the main research themes and supportive disciplines in this field. Knowledge from computer science, engineering technology, and mathematics is widely involved and shows an upward trend, while content from the humanities and social sciences is less involved in the research. Compared to the United States and the United Kingdom, China has relatively less biological and chemical knowledge content in the research of this field, but more content related to computer science, engineering technology and material science is involved. This study analyzes the current state and trends of interdisciplinary on artificial intelligence medical devices from the perspective of macro-categories of disciplines, aiming to provide references for research planning, talent training and interdisciplinary cooperation in the field.
The pre-market approval and clinical application of innovative medical devices should be based on high-quality evidence, proving their reliability, safety and effectiveness. In 2016, the IDEAL (Idea, Development, Exploration, Assessment and Long-term follow-up) collaboration modified the original IDEAL framework and recommendation to the IDEAL-D methodological framework for the entire life cycle evaluation of innovative medical devices. The framework included five stages, namely the preclinical development stage, idea stage, exploration stage, assessment stage and long-term follow-up stage. This paper aims to interpret the study purpose, content and design at each step of the IDEAL-D framework based on IDEAL framework and recommendation (2019) to provide practical methodological guidance for the design and conduct of clinical research on innovative medical devices.
In 2019, the national government issued the document "Implementation Plan for Supporting the Construction of the Boao Lecheng International Medical Tourism Pilot Area", which allowed the use of innovative drugs and medical devices in medical institution of Boao Lecheng. These medical products had been designed to meet urgent clinical requirements and had been approved by regulatory authorities overseas. Through the use of these medical products, real-world data were generated in the routine clinical practice, based on which real-world evidence might be produced for regulatory decision-making by using scientific and rigorous methods. In March 2020, the first medical device product using domestic real-world data was approved, suggesting that the real-world data initiative in Boao Lecheng achieved initial success. This work also provided important experience for promoting the practice of medical device regulatory decision-making based on real-world evidence in China. Here, we shared the preliminary experiences from the study on the first approved medical device product and discussed the issues on developing a real-world data research framework in Boao Lecheng in attempt to offer insights for future studies.
Regulatory science of medical devices serves the scientific research and regulatory activities for supervision of medical devices. Principles of science and transparency and conduction of evidence-based study, which is advocated in Evidence-based science(EBS), also apply to regulatory science of medical devices, including using evidence-based scientific tools and methods to demonstrate the safety and effectiveness, as well as quality, efficacy and cost-effectiveness of total life cycle of medical products, target customers, and scope. EBS provides both new methods and tools for regulatory science for medical devices, and provides a new basis for further scientific regulatory decisions.
The artificial ventilation system is a multi-factor system with some high uncertain risks which should be under controlled by medical risk management of hospitals. The key suggestions for reducing the accidence caused by ventilator are recommented： 1 ） to clarify the risk factor of ventilators, 2 ） to set up management group of ventilators with a clinical engineer who is good at management and quality control of medical equipment on ventilators, 3 ） to develop ventilator clinical practice for safety use, 4 ） to explore the effective risk monitoring and early warning system and mechanism on ventilator application.
Real-world data is been increasingly valued nowadays. This paper combined with related requirements of clinical evaluation of medical devices in China, studied the role of real-world evidence in pre-marketing clinical evaluation of medical devices in terms of technical evaluation, in aim of providing reference for the future application of China's real-world evidence in pre-marketing clinical evaluation.
