Development Of Medical Technology Research Articles

A Survey on Transforming Healthcare with IoMT : The Power of Connected Medical Devices

This thorough analysis examines current developments in medical technology, with an emphasis on the Internet of Medical Things (IoMT) and its uses. It covers IoMT's contribution in creating wearable internet monitors for dispersed monitoring systems, addressing pregnancy-related issues, and is divided into four subject groups. Along with blockchain adaption, it also highlights privacy and dependability in IoMT-based health monitoring systems. The paper also emphasizes the contributions of IoMT to healthcare diagnosis and monitoring, including machine learning and edge-AI-based cardiovascular health monitoring and fall prediction. It also covers data science and healthcare informatics techniques, such as using lightweight cryptography to ensure real-time security in remote patient monitoring and identifying unusual user behavior. IoMT has the potential to transform patient care, diagnostics, and data-driven decision-making across a range of healthcare areas, as the paper highlights overall.

ПРОЄКТУВАННЯ АРХІТЕКТУРИ ПРОГРАМНОЇ СИСТЕМИ ДЛЯ СТВОРЕННЯ ЦИФРОВИХ ДВІЙНИКІВ МЕДИКО-БІОЛОГІЧНИХ ОБ'ЄКТІВ

The paper introduces an innovative and universal object-oriented architecture specifically tailored for the creation of digital twins pertaining to medico-biological en-tities, with otolaryngology serving as the primary exemplar. The very essence of this architecture is its profound utilization of polymorphism. By capitalizing on this tech-nique, the architecture offers a substantial reduction in the workload and complexity software developers might face when there's a necessity to adapt or modify the sys-tem for alternative medical specializations. The genesis of this architecture stems from a recognized need to establish a more modular and adaptable framework that can cater to the rapidly evolving land-scape of medical technology and digital twinning. As the medical realm continues to burgeon, having such a flexible and scalable software blueprint becomes paramount, especially when aiming to maintain relevance and efficacy in diverse medical sectors. The paper offers a comprehensive breakdown of the various component groups that constitute the system. Each group is dissected to provide clarity on its function, importance, and integration with the broader system. This hierarchical and systematic representation ensures that software developers, medical researchers, and other stakeholders have a clear roadmap when engaging with the architecture. In summation, this research stands as a pivotal contribution to the intersection of medical technology and software development. By providing a robust and adapt-able architectural blueprint for digital twinning in the medico-biological domain, it paves the way for future innovations and ensures that the medical community can harness the power of digital replication with increased accuracy, efficiency, and ver-satility.

Risk of cardiovascular death in patients with hepatocellular carcinoma based on the Fine-Gray model.

Hepatocellular carcinoma (HCC) is one of the most common types of cancers worldwide, ranking fifth among men and seventh among women, resulting in more than 7 million deaths annually. With the development of medical technology, the 5-year survival rate of HCC patients can be increased to 70%. However, HCC patients are often at increased risk of cardiovascular disease (CVD) death due to exposure to potentially cardiotoxic treatments compared with non-HCC patients. Moreover, CVD and cancer have become major disease burdens worldwide. Thus, further research is needed to lessen the risk of CVD death in HCC patient survivors. To determine the independent risk factors for CVD death in HCC patients and predict cardiovascular mortality (CVM) in HCC patients. This study was conducted on the basis of the Surveillance, Epidemiology, and End Results database and included HCC patients with a diagnosis period from 2010 to 2015. The independent risk factors were identified using the Fine-Gray model. A nomograph was constructed to predict the CVM in HCC patients. The nomograph performance was measured using Harrell's concordance index (C-index), calibration curve, receiver operating characteristic (ROC) curve, and area under the ROC curve (AUC) value. Moreover, the net benefit was estimated via decision curve analysis (DCA). The study included 21545 HCC patients, of whom 619 died of CVD. Age (< 60) [1.981 (1.573-2.496), P < 0.001], marital status (married) [unmarried: 1.370 (1.076-1.745), P = 0.011], alpha fetoprotein (normal) [0.778 (0.640-0.946), P = 0.012], tumor size (≤ 2 cm) [(2, 5] cm: 1.420 (1.060-1.903), P = 0.019; > 5 cm: 2.090 (1.543-2.830), P < 0.001], surgery (no) [0.376 (0.297-0.476), P < 0.001], and chemotherapy(none/unknown) [0.578 (0.472-0.709), P < 0.001] were independent risk factors for CVD death in HCC patients. The discrimination and calibration of the nomograph were better. The C-index values for the training and validation sets were 0.736 and 0.665, respectively. The AUC values of the ROC curves at 2, 4, and 6 years were 0.702, 0.725, 0.740 in the training set and 0.697, 0.710, 0.744 in the validation set, respectively. The calibration curves showed that the predicted probabilities of the CVM prediction model in the training set vs the validation set were largely consistent with the actual probabilities. DCA demonstrated that the prediction model has a high net benefit. Risk factors for CVD death in HCC patients were investigated for the first time. The nomograph served as an important reference tool for relevant clinical management decisions.

System for evaluating medical technologies in military healthcare

Modern challenges and threats, as well as unprecedented sanctions pressure on the Russian Federation, have contributed to the intensification of research both on the development of innovative medical technologies and on expanding the range of use of existing ones. At the same time, on the one hand, there is an increase in incoming proposals for the use of various medical technologies in military healthcare, and on the other hand, the need to ensure accessibility and improve the quality of medical care for military personnel and other cate- gories of assigned contingents is rapidly increasing. At the same time, in con- ditions of limited resources, the level of requirements for justifying the need to introduce one or another medical technology into the activities of military medical organizations and other medical units of the Armed Forces of the Rus- sian Federation naturally increases. All this predetermines the relevance of the development of a departmental system for assessing medical technologies for effective information support for making rational management decisions. The study examined the main directions of development of the medical tech- nology assessment system in military healthcare. In particular, goals and objectives are defined, the main aspects and possible forms of organizing a departmental system for assessing medical technologies are substantiated. The main elements of the basic model for assessing medical technologies in military healthcare are identified. In addition, the characteristics of the in- formation system for assessing medical technologies in military healthcare are given, its main components are given, as well as the expected effects of implementation. The implementation of the departmental concept for assessing medical tech- nologies in the main directions of development presented in the article on the basis of a specialized information system will not only help increase the availability of effective and safe medical technologies, but also the rational use of funds and other military healthcare resources. In addition, taking into ac- count the results of departmental assessment of medical technologies at the state level will serve as the basis for the formation of priority directions for the strategic development of the domestic medical and pharmaceutical industry in the interests of national defense and state security.

Gut microbiota in the combined treatment of colorectal cancer using autoprobiotics

Despite great advances in the treatment of oncological diseases, the development of medical technologies to prevent or reduce complications of therapy, in particular, those associated with surgery and the introduction of antibiotics, remains relevant. The aim of the study was to evaluate the effectiveness of the use of autoprobiotics based on indigenous non-pathogenic strains of Enterococcus faecium and E. hirae in the complex therapy of colorectal cancer (CRC) in the early postoperative period. The use of autoprobiotics did not cause side effects and led to a decrease in the level of pro-inflammatory cytokines (IL-6 and IL-18) in the blood serum. The features of the intestinal microbiome in patients with CRC were revealed, which are fundamentally different from those of other authors by an increase in alpha- biodiversity, lactobacilli, bifidobacteria, Bacteroides thetaiotaomicron and its additional differences associated with the absence of non-pathogenic enterococci: a greater amount of Parvimonas micra, a smaller amount of Akkermansia spp., an increase in the content of Klebsiella sp., Fusobacterium nucleatum and Clostridium perfringens. The use of autoprobiotics led to the elimination of P. micra, a decrease in C. perfringens, which led to the normalization of the microbiota in most patients. The effectiveness of autoprobiotics in the treatment of CRC has been proven, which, apparently, is associated with a change in the composition of intestinal microbiocenosis.

Machine Learning-Based Medical Imaging Detection and Diagnostic Assistance

With the development of medical technology, medical imaging technology plays an increasingly important role in diagnosing and monitoring diseases. At the same time, machine learning technology has shown strong capabilities in data processing and analysis, providing new possibilities for the detection and auxiliary diagnosis of medical images. This paper will deeply discuss the application of machine learning in medical images, especially the application of deep learning in medical images, and how to achieve effective medical image detection and auxiliary diagnosis through steps such as preprocessing, feature extraction, model training and optimization.

INTISARI ANALISIS PERSIAPAN PELAKSANAAN PATIENT SAFETY DI RUANG RAWAT INAP (STUDY KASUS DI RSUD KABUPATEN BIMA)

The era of globalization impact very rapidly, in the development of advanced medical technology. These conditions have an impact on medical services is very complex and it is potentially causing the error, so that the necessary improvement of health care quality. Patient safety is one important component in the quality of health care. Improved patient safety is a necessary step to prevent and minimize unwanted incident (KTD). Nurses are one of the health workers who are at the forefront of health care and have a very important role in improving patient safety. To determine attitudes on the analysis of patient safety in the inpatient unit nurse Bima district hospital and in particular to identify the components of patient safety attitudes include climate of team work, working conditions, employment decisions, and some factors that support and hinder patient safety attitudes. The research is descriptive qualitative. Subjects were 3 nurses and 3 patients with interview techniques. Data collection techniques in this study used the analysis of qualitative data. A qualitative data analysis technique is using descriptive analysis techniques to describe the data in the field which were analyzed and concluded. Components of the patient safety attitudes is climate of teamwork that showed lower patient safety attitudes, job satisfaction showed high patient safety attitudes, working conditions showed lower patient safety attitudes, for logistical support in the form of medical equipment are laboratory equipments that still lacking. Components of the patient safety attitudes were high that consist job satisfaction, and the low patient safety attitudes components were the teamwork climate and conditions of employment, because they needed additional medical equipment such as laboratory equipments.

Trends in COVID-19 Vaccine Development: Vaccine Platform, Developer, and Nationality.

Various vaccine platforms, including emerging platforms, have been applied in the development of COVID-19 vaccines. Biotechnology startups often lead the development of new medical technologies, whereas major pharmaceutical companies and public institutions have long contributed to vaccine development. In this study, vaccine platforms and developers involved in COVID-19 vaccine development were analyzed, elucidating the trends of vaccine platforms used, the country distribution of the developers, and differences in the profiles of developers by vaccine platform technologies and country. The analysis revealed that conventional, established, and emerging vaccine platforms have been widely used and that older platforms are more advanced in clinical development. It also demonstrated the emergence of China, in addition to the U.S., while many pharmerging countries have been engaged in development. Startups have significantly contributed to the development of viral vector and RNA-based vaccines, suggesting their important role in the application of novel technologies. The major developers differ by country and region. Alliances, including international collaborations, have progressed in late clinical development. Based on these results, future perspectives of pandemic vaccine development and implications for policy and corporate strategies are discussed.

Chronicling the Experiences of Life Sciences Teachers and Learners on the Usage of Enquiry-Based Learning in Enhancing Learners’ Academic Performance

Life sciences research provides critical insights into disease processes and allows for the development of novel treatments and innovative medical technologies, thereby directly improving human health and technology. Despite the widely acknowledged relevance of life sciences, there has been a long-term pattern of low performance. This is due to inefficient teaching methods, as how a lesson is delivered influences the learners' level of understanding, among other things. Hence, the present study examined the experiences of life sciences teachers and learners in using IBL to enhance the academic performance of life science learners. This study was underpinned by the interpretivism paradigm, a qualitative approach, and a participatory research approach. The study population consisted of all life sciences learners in a rural school in the Amathole West district, Eastern Cape province of South Africa, from which 2 life sciences teachers and 14 learners were conveniently sampled. Data were collected using interviews, observations, and document reviews, and they were analysed using thematic analysis. The research findings revealed that enquiry-based learning has the potential to foster the development of critical thinking, problem-solving, and communication skills among life sciences learners. However, several issues make it difficult to successfully implement enquiry-based learning in the context of teaching and learning life sciences, including a lack of resources, time constraints, misreading of instructions, a lack of support or supervision, and a lack of pedagogical topic expertise among teachers. The study concludes that enquiry-based learning, when done right, can help learners understand life sciences concepts deeper and remember what they have learnt for a longer period.

Clinical significance of platelet mononuclear cell aggregates in patients with sepsis and acute respiratory distress syndrome.

The diagnosis of sepsis combined with acute respiratory distress syndrome (ARDS) has increased owing to the enhanced awareness among medical professionals and the continuous development of modern medical technologies, while early diagnosis of ARDS still lacks specific biomarkers. One of the main pathogenic mechanisms of sepsis-associated ARDS involves the actions of various pathological injuries and inflammatory factors, such as platelet and white blood cells activation, leading to an increase of surface adhesion molecules. These adhesion molecules further form platelet-white blood cell aggregates, including platelet-mononuclear cell aggregates (PMAs). PMAs has been identified as one of the markers of platelet activation, here we hypothesize that PMAs might play a potential biomarker for the early diagnosis of this complication. To investigate the expression of PMAs in the serum of patients with sepsis complicated by ARDS and its clinical significance. We selected 72 hospitalized patients diagnosed with sepsis as the study population between March 2019 and March 2022. Among them, 30 patients with sepsis and ARDS formed the study group, while 42 sepsis patients without ARDS comprised the control group. After diagnosis, venous blood samples were immediately collected from all patients. Flow cytometry was employed to analyze the expression of PMAs, platelet neutrophil aggregates (PNAs), and platelet aggregates (PLyAs) in the serum. Additionally, the Acute Physiology and Chronic Health Evaluation (APACHE) II score was calculated for each patient, and receiver operating characteristic curves were generated to assess diagnostic value. The study found that the levels of PNAs and PLyAs in the serum of the study group were higher than those in the control group, but the difference was not statistically significant (P > 0.05). However, the expression of PMAs in the serum of the study group was significantly upregulated (P < 0.05) and positively correlated with the APACHE II score (r = 0.671, P < 0.05). When using PMAs as a diagnostic indicator, the area under the curve value was 0.957, indicating a high diagnostic value (P < 0.05). Furthermore, the optimal cutoff value was 8.418%, with a diagnostic sensitivity of 0.819 and specificity of 0.947. In summary, the serum levels of PMAs significantly increase in patients with sepsis and ARDS. Therefore, serum PMAs have the potential to become a new biomarker for clinically diagnosing sepsis complicated by ARDS.

Use of laser technologies in the treatment of hemorrhoids (Literature review)

Hemorrhoids are one of the most common diseases of the anorectal region, representing a serious medical and socio-economic problem that significantly affects the quality of life of patients. Surgical treatment of this pathology is necessary in cases where the patient complains of bleeding and prolapse of internal hemorrhoids, which cannot be treated with conservative methods. Traditional methods of surgical treatment of this pathology, despite their effectiveness, have a number of significant disadvantages, such as severe pain after surgery, prolonged healing of anal canal wounds, a long period of incapacity for work, as well as possible complications in the form of strictures of the anal canal, insufficiency of the rectal obturator, and anal fistulas. Recently, due to the active development of medical technology in the surgical treatment of hemorrhoids, many new minimally invasive treatment methods have appeared, including the use of lasers with different wavelengths, which have demonstrated high efficiency along with such advantages as reducing the intensity of postoperative pain syndrome, decreasing the frequency of intraoperative and early postoperative complications, as well as the possibility of outpatient implementation of these techniques. Depending on the stage of hemorrhoidal disease, as well as the type of laser radiation, various methods that affect one or both (vascular and mechanical) links in the pathogenesis of the disease are used. This article provides a review of modern literature data and analyzes the experience of using various lasers in the treatment of hemorrhoidal disease.

Device innovation in cardiovascular medicine: a report from the European Society of Cardiology Cardiovascular Round Table.

Research performed in Europe has driven cardiovascular device innovation. This includes, but is not limited to, percutaneous coronary intervention, cardiac imaging, transcatheter heart valve implantation, and device therapy of cardiac arrhythmias and heart failure. An important part of future medical progress involves the evolution of medical technology and the ongoing development of artificial intelligence and machine learning. There is a need to foster an environment conducive to medical technology development and validation so that Europe can continue to play a major role in device innovation while providing high standards of safety. This paper summarizes viewpoints on the topic of device innovation in cardiovascular medicine at the European Society of Cardiology Cardiovascular Round Table, a strategic forum for high-level dialogue to discuss issues related to the future of cardiovascular health in Europe. Devices are developed and improved through an iterative process throughout their lifecycle. Early feasibility studies demonstrate proof of concept and help to optimize the design of a device. If successful, this should ideally be followed by randomized clinical trials comparing novel devices vs. accepted standards of care when available and the collection of post-market real-world evidence through registries. Unfortunately, standardized procedures for feasibility studies across various device categories have not yet been implemented in Europe. Cardiovascular imaging can be used to diagnose and characterize patients for interventions to improve procedural results and to monitor devices long term after implantation. Randomized clinical trials often use cardiac imaging-based inclusion criteria, while less frequently trials randomize patients to compare the diagnostic or prognostic value of different modalities. Applications using machine learning are increasingly important, but specific regulatory standards and pathways remain in development in both Europe and the USA. Standards are also needed for smart devices and digital technologies that support device-driven biomonitoring. Changes in device regulation introduced by the European Union aim to improve clinical evidence, transparency, and safety, but they may impact the speed of innovation, access, and availability. Device development programmes including dialogue on unmet needs and advice on study designs must be driven by a community of physicians, trialists, patients, regulators, payers, and industry to ensure that patients have access to innovative care.

첨단 의료기술에 대한 윤리적 쟁점과 첨단 의료기술에 대한 윤리원칙 수립을 위한 예비고찰

The development of medical technology is affecting the human body, diagnosis and treatment methods, bringing about new changes in the medical environment, and further reorganizing the concept of human beings. In addition, cutting-edge medical technology is causing new social and ethical problems in existing medical settings. In order to respond to these problems, this paper first examined cases and ethical issues related to advanced medical technology. In addition, the stages in which advanced medical technology is used for patient treatment are divided into “experiments, clinical trials, treatment, general marketing, etc.” in the order of progress, and the related entities involved in the process are “doctors and scholars/ developers, patients, guardians, (Ethical judgment was made by examining the meaning of the principles of “good deeds, prohibition of evil deeds, autonomy, and justice” based on Buchamp and Childress’ &lt;Four Principles of Bioethics&gt; at each stage. The framework was established and the significance and limitations of these guidelines were discussed.

Research and Practice on the Training Model of Critical Care Nursing Talents

With the continuous development of medical technology, the success rate of treatment for critically ill patients has been increasing year by year, among which critical care nursing talents have played a crucial role. The cultivation of critical care nursing talents not only concerns the safety of patients, but also reflects the comprehensive strength of medical institutions. However, there are some problems in the current cultivation of critical care nursing talents, which restrict the development and improvement of critical care nursing talents. Therefore, this article briefly analyzes the importance of cultivating critical care nursing talents, and explores in depth the problems existing in the cultivation of critical care nursing talents, as well as the principles for constructing the cultivation mode of critical care nursing talents. It proposes practical strategies for the cultivation mode of critical care nursing talents for reference.

Practical effect of different teaching modes in teaching gastrointestinal surgery nursing.

With the continuous development and progress of medical technology, the position of surgical nursing in the field of clinical medicine is becoming increasingly prominent. As an important branch of the surgical field, the nursing requirements and difficulty of gastrointestinal surgery are also increasing. In order to improve the teaching quality of nursing care in gastrointestinal surgery, many educators and researchers are actively exploring new teaching methods. Among them, the teaching method case-based learning (CBL), scene-simulated learning (SSL), task-based learning (TBL), combining self-evaluation and training mode is considered as an effective method. This method aims to help students to better master knowledge and skills and improve their comprehensive quality by cultivating their self-evaluation ability. To explore the practical effect of CBL-SSL-TBL combined with training mode and student self-assessment in nursing teaching of gastrointestinal surgery. Seventy-one nursing interns in our hospital from December 2020 to December 2021 were selected. According to different teaching modes, they were divided into observation group CBL-SSL-TBL combined with training mode combined with student self-assessment and control group (conventional teaching mode), of which 36 were in observation group and 35 were in control group. The results of operational skills, theoretical knowledge, nursing students' satisfaction, learning effectiveness questionnaire and teaching effect were compared between the two groups. Compared between the two groups, the operational skills and theoretical knowledge scores of the observation group were higher than those of the control group, and the difference was statistically significant (P < 0.05). Compared between the two groups, the total satisfaction ratio of the observation group was higher than that of the control group, the difference was statistically significant (P < 0.05). Compared between the two groups, the observation group was lower than the control group in the questionnaire results of learning efficacy, and the difference was statistically significant (P < 0.05). Compared between the two groups, the proportion of thinking ability, subjective initiative and understanding of theoretical knowledge in the observation group was higher than that in the control group, the difference was statistically significant (P < 0.05). The use of CBL-SSL-TBL combined with training mode and student self-assessment in gastrointestinal surgery nursing teaching can improve the operational skills of nursing interns, theoretical knowledge and satisfaction scores of nursing students, improve the results of learning efficiency questionnaire and teaching effect, which can be popularized in clinical teaching.

Medical image fusion based on machine learning for health diagnosis and monitoring of colorectal cancer

With the rapid development of medical imaging technology and computer technology, the medical imaging artificial intelligence of computer-aided diagnosis based on machine learning has become an important part of modern medical diagnosis. With the application of medical image security technology, people realize that the difficulty of its development is the inherent defect of advanced image processing technology. This paper introduces the background of colorectal cancer diagnosis and monitoring, and then carries out academic research on the medical imaging artificial intelligence of colorectal cancer diagnosis and monitoring and machine learning, and finally summarizes it with the advanced computational intelligence system for the application of safe medical imaging.In the experimental part, this paper wants to carry out the staging preparation stage. It was concluded that the staging preparation stage of group Y was higher than that of group X and the difference was statistically significant. Then the overall accuracy rate of multimodal medical image fusion was 69.5% through pathological staging comparison. Finally, the diagnostic rate, the number of patients with effective treatment and satisfaction were analyzed. Finally, the average diagnostic rate of the new diagnosis method was 8.75% higher than that of the traditional diagnosis method. With the development of computer science and technology, the application field was expanding constantly. Computer aided diagnosis technology combining computer and medical images has become a research hotspot.

Molecular mechanisms and therapeutic applications of huaier in breast cancer treatment.

Breast cancer is one of the most common female malignant tumors today and represents a serious health risk for women. Although the survival rate and quality of life of patients with breast cancer are improving with the continuous development of medical technology, metastasis, recurrence, and drug resistance of breast cancer remain a significant problem. Huaier, a traditional Chinese medicine (TCM) fungus, is a type of Sophora embolism fungus growing on old Sophora stems. The polysaccharides of Trametes robiniophila Murr (PS-T) are the main active ingredient of Huaier. There is increasing evidence that Huaier has great potential in breast cancer treatment, and its anti-cancer mechanism may be related to a variety of biological activities, such as the inhibition of cell proliferation, metastasis, tumor angiogenesis, the promotion of cancer cell death, and regulation of tumor-specific immunity. There is growing evidence that Huaier may be effective in the clinical treatment of breast cancer. This review systematically summarizes the basic and clinical studies on the use of Huaier in the treatment of breast cancer, providing useful information to guide the clinical application of Huaier and future clinical studies.

Effect of cardiac rehabilitation care after coronary intervention on cardiac function recovery and negative mood in patients with myocardial infarction.

Cardiovascular disease, particularly myocardial infarction (MI) profound impact on patients' quality of life and places a substantial burden on the healthcare and economy systems. Developments in medical technology have led to the emergence of coronary intervention as an essential method for treating MI. To assess the effects of cardiac rehabilitation care on cardiac function recovery and negative emotions in MI after coronary intervention. This study included a total of 180 patients with MI during the period from June 2022 to July 2023. Selected patients were divided into two groups: An observation group, which receiving cardiac rehabilitation care; a control group, which receiving conventional care. By comparing multiple observation indicators such as cardiac function indicators, blood pressure, exercise tolerance, occurrence of adverse cardiac events, and negative emotion scores between the two groups of patients. All the data were analyzed and compared between two groups. There were 44 males and 46 females in the observation group with an average age of 36.26 ± 9.88 yr; there were 43 males and 47 females in the control group, with an average age of 40.87 ± 10.5 yr. After receiving the appropriate postoperative nursing measures, the results of the observation group showed significant improvement in several indicators compared with the control group. Indicators of cardiac function, such as left ventricular end-diastolic internal diameter and left ventricular ejection fraction were significantly better in the observation group than in the control group (P < 0.05). Exercise endurance assessment showed that the 6-minute walking test distance was significantly increased in the patients of the observation group (P < 0.01). In addition, the incidence of adverse cardiac events was significantly lower in the observation group, and negative mood scores were significantly reduced (P < 0.05). Cardiac rehabilitation care after coronary intervention has a significant positive impact on functional recovery. This emphasizes the importance of cardiac rehabilitation care to improve patient recovery.

Electronic Medical Record and Smoking Cessation Activities: Literature Review

Vital information regarding the life and health of a patient is gathered in medical records. The electronic medical record (EMR) is the product of medical record information technology development. Electronic health records and other health information systems have the potential to be useful tools for raising the caliber and efficacy of clinical interventions aimed at reducing tobacco consumption. Electronic medical records are used by doctors, clinics, and health care organizations to track patient smoking cessation outcomes and as a smoking cessation support tool. Thirteen papers from the Google Schoolar database and the reference lists of the included research were used in the review. We looked for research that was written between 2010 and 2020. Overall, these trials discovered that only slight benefits were made by several doctor-recommended therapies related to tobacco use. Following modifications to electronic medical records intended to speed up the collection and management of tobacco use during medical visits, there seems to have been a rise in the documentation of tobacco status and referrals for cessation counseling. To maximize the potential of EMRs for extra therapeutic advantages and smoking cessation in hospital settings, more research is required.

Frontiers in biomedical research

With continuous breakthroughs in basic research and technological innovation in the field of biomedicine, we have a much deeper understanding of the nature of life and disease pathogenesis. New medical technologies, medicines and medical instruments are emerging, which greatly promote diagnosis, treatment, prevention and healthy lifestyle. Focusing on international engagement together with the development needs of individual businesses is a major task for China's biomedical community in order to achieve high-quality outcomes. This paper emphasizes the need to further strengthen the cross-integration and development of medical science in China, realize the paradigm change of medical research, and promote the development and application of revolutionary medical technologies, diagnostics, drugs and medical devices. Eighteen frontier hot spots and common issues are highlighted for the field of biomedicine.