Chronic kidney disease (CKD) has been highlighted as one of the most important public health problems due to sharply climbing incidence and prevalence. To efficiently attenuate the disease burden and improve the disease management, not only active and effective treatment should be administrated, but also comprehensive follow-up nursing management with innovative and evolving spirits should be implemented. Thus dynamic changes of diseases could be acquired in time and patients are under appropriate medical instruction as soon as possible. This editorial is based on quickly developing medical big data resources and advanced internet techniques, from both aspects of patients and health care providers, briefly talking about integrated management strategy of CKD and its future development in China.
The administration of radioactive iodine-131 (131I) is one of the representative traditional targeted therapy for post-surgical differentiated thyroid carcinoma (DTC). As DTC tumor cells largely preserve the capability of thyroid follicular epithelial cells, including the expression of the sodium iodide symporter (NIS), 131I can be selectively internalized by these cells once introduced into the body. The simultaneous emitting of both γ-ray and β-ray from 131I featured its unique theranostic value in managing DTC, through γ-ray to detect the residual thyroid tissue and DTC lesions via nuclear medical imaging, while through β-ray to yield the precise tumoricidal effect as well as remnant thyroid ablation. This theranostic potential of 131I significantly enhances progression-free survival, disease-specific survival, and overall survival in DTC patients with residual/recurrent/metastatic lesions as long as they are capable of iodine uptake. Nevertheless, the clinical application of 131I, despite its “precise” treatment philosophy, remains far from precision medicine while clinical practice, which urges further refinement in pre-treatment assessment, dosage tailoring, and post-treatment efficacy evaluation to fully capitalize on its theranostic benefits. Recently, with the accumulation of evidence-based medical data, 131I treatment has evolved with respect to treatment principles, pre-treatment risk stratification, post-treatment dynamic assessment, and comprehensive patient management, with an aim to optimize the diagnostic and therapeutic precision of 131I. Here we briefly review and update the recent advance on 131I management on DTC.
Wearable monitoring, which has the advantages of continuous monitoring for a long time with low physiological and psychological load, represents a future development direction of monitoring technology. Based on wearable physiological monitoring technology, combined with Internet of Things (IoT) and artificial intelligence technology, this paper has developed an intelligent monitoring system, including wearable hardware, ward Internet of Things platform, continuous physiological data analysis algorithm and software. We explored the clinical value of continuous physiological data using this system through a lot of clinical practices. And four value points were given, namely, real-time monitoring, disease assessment, prediction and early warning, and rehabilitation training. Depending on the real clinical environment, we explored the mode of applying wearable technology in general ward monitoring, cardiopulmonary rehabilitation, and integrated monitoring inside and outside the hospital. The research results show that this monitoring system can be effectively used for monitoring of patients in hospital, evaluation and training of patients’ cardiopulmonary function, and management of patients outside hospital.
ObjectiveTo construct the general practice tutors’ ability system in community training bases under the background of hospital-community integrated teaching of general practice.Methods From January to April 2021, literature analysis, expert group consultation, in-depth interview and questionnaire survey were conducted to construct the grass-roots general practice tutors’ ability system, and exploratory factor analysis method was applied, using main component analysis to extract the competency elements. Results There were 4 first level indicators and 20 second level indicators in the system, among which the first level indicators were personal characteristics and professionalism, teaching and research ability, basic level clinical practice ability, and base organization management ability. Conclusion This research enriches the indicators and connotations of the general practice tutors in community training base of general practice, and provides empirical research basis for the selection, ability training and performance evaluation of tutors in community practice bases of general practice medicine.
As an emerging technology, artificial intelligence (AI) uses human theory and technology for robots to study, develop, learn and identify human technologies. Thoracic surgeons should be aware of new opportunities that may affect their daily practice by the direct use of AI technology, or indirect use in the relevant medical fields (radiology, pathology, and respiratory medicine). The purpose of this paper is to review the application status and future development of AI associated with thoracic surgery, diagnosis of AI-related lung cancer, prognosis-assisted decision-making programs and robotic surgery. While AI technology has made rapid progress in many areas, the medical industry only accounts for a small part of AI use, and AI technology is gradually becoming widespread in the diagnosis, treatment, rehabilitation, and care of diseases. The future of AI is bright and full of innovative perspectives. The field of thoracic surgery has conducted valuable exploration and practice on AI, and will receive more and more influence and promotion from AI.