With the continuous development of new drugs and immunotherapy, the survival period of patient with multiple myeloma (MM) is continuously prolonged, and the disease is becoming chronic. Due to the involvement of multiple systems and numerous complications, the daily nursing for MM faces significant challenges. The doctor-nurse-patient integration model and the whole life cycle health management model for daily nursing of MM are expected to reduce the social burden related to diseases, improve patients’ quality of life, and reduce medical costs. This article provides a review on three aspects of MM doctor-nurse-patient integration, whole life cycle health management, and daily health management involving multiple systems.
Reconstructive surgery is fundamentally dedicated to restoring tissues and organs damaged by trauma, disease, or congenital anomalies, with the goal of re-establishing both physiological function and anatomical form. Facial reconstruction, as one of the most representative and technically demanding areas of the discipline, embodies the evolution of its concepts and technological progress. Using facial reconstruction as the point of departure, this article systematically delineates the scientific underpinnings and developmental frontiers of the field. Centered on four core elements—donor construction, vascular reconstruction, precision transplantation, and functional recovery, this article articulates the internal logic and technical considerations of both autologous and allogeneic reconstructive methods. Further, from the perspectives of regenerative donor fabrication, the digital and intelligent transformation of reconstructive surgery, breakthroughs in immune tolerance strategies, and the integration of engineering technologies to enhance functional outcomes, the article envisions potential paradigm shifts that may redefine the discipline. By leveraging facial reconstruction as a highly integrated lens, this work aims to elucidate the key drivers of innovation and chart the future directions of reconstructive surgery.
ObjectiveTo improve the comprehensive service ability of the hospital, improve the satisfaction of medical care, implement the requirements of fine management, and enrich the connotation of hospital internal performance improvement.MethodsIn July 2017, based on the concept of approach-deployment-learning-integration, the internal performance improvement model of Children’s Hospital Affiliated to Fudan University was constructed to form a management closed loop.ResultsFrom 2016 to 2019, the average length of hospital stay was reduced from 6.90 d to 6.47 d, the patient satisfaction was elevated from 92.89% to 93.80%, the proportion of drugs was reduced from 35.25% to 30.44%, the proportion of materials was reduced from 23.35% to 18.55%, and the proportion of difficult operations of grade Ⅲ and Ⅳ was elevated from 66.98% to 67.68%.ConclusionThe improvement of key performance indicators depends on the implementation of external policies, the integration of scientific management elements, the cooperation of multiple subjects, and the construction of information system.
In recent years, although the mortality rate caused by traumatic brain injury has declined, the disability rate has remained high, which has a serious impact on patients and their families. Therefore, solving the complications and sequelae caused by traumatic brain injury is the focus and difficulty of current clinical research. Integration of traditional and western medicine rehabilitation is an effective method for the treatment of the central nervous system at home and abroad, and it also fully reflects its therapeutic advantages in the application of traumatic brain injury. Based on this, this paper will mainly introduce the clinical characteristics of patients with traumatic brain injury, and systematically expound the commonly used clinical rehabilitation treatment methods of integration of traditional and western medicine, aiming to provide a certain guidance for the rehabilitation treatment of traumatic brain injury.
Integrating medical instruments with medical information systems becomes more and more important in healthcare industry. To make medical instruments without standard communication interface possess the capability of interoperating and sharing information with medical information systems, we developed a medical instrument integration gateway based on Integrating the Healthcare Enterprise Patient Care Device (IHE PCD) integration profiles in this research. The core component is an integration engine which is implemented according to integration profiles and Health Level Seven (HL7) messages defined in IHE PCD. Working with instrument specific Javascripts, the engine transforms medical instrument data into HL7 ORU message. This research enables medical instruments to interoperate and exchange medical data with information systems in a standardized way, and is valuable for medical instrument integration, especially for traditional instruments.
The annual incidence of diabetic foot ulcers in China is as high as 8.1%, which ranks first among the causes of chronic wounds in China. Although through the efforts of several generations of podiatrists and the building of multidisciplinary collaboration team, the major amputation rate in patients with diabetic foot ulcers in China has been decreased significantly, it is still far higher than the level of developed countries in Europe and the United States. Therefore, in order to cope with the increasing occurrence and recurrence of refractory diabetic foot ulcers, in addition to further optimizing the construction of multidisciplinary collaboration team, it is an urgent topic for us to explore the construction of a multidisciplinary integrated team to seamlessly connect the diagnosis and treatment of different aspects of foot disease. This article describes the importance and necessity of building a wound repair center with Chinese characteristics, which is a model of multidisciplinary integrated team, aiming at provide a theoretical basis for establishing a multidisciplinary integrated management model and realizing seamless connection between diagnosis and treatment, so as to further improve the cure rate of diabetic foot ulcers.
ObjectiveTo briefly describe the specific contents of the “four-dimensional integration” standardized training model for neurology residents and analyze the implementation effects.MethodsSince September 2019, the Standard Training Center for Residents in Department of Neurology, Xuanwu Hospital of Capital Medical University trained residents under “four-dimensional integration” standardized training model, including primary knowledge teaching, basic skill training, clinical thinking training, and student group learning. The effect of the “four-dimensional integration” model was measured by comparing the midterm assessment results after four months of training of the resident trainees in Grade 2019 under the “four-dimensional integration” training mode (n=37) with those of the resident trainees in Grade 2018 under regular training mode (n=32). The midterm assessment was conducted through standardized and objective clinical examinations, including three evaluations (theory, skills, and clinical drills), and the pass rate of tests was evaluated through Fisher’s exact probability method for comparison between training groups.ResultsThere was no significant difference in the pass rate of theoretical assessment (100.0% vs. 96.9%, P=0.464) or the pass rate of Mini-Clinical Evaluation Exercise (100.0% vs. 90.6%, P=0.095) between the two groups. The pass rate of skill assessment in Grade 2019 was significantly higher than that of the students in Grade 2018 (94.6% vs. 71.9%, P=0.018).ConclusionThe “four-dimensional integration” standardized training model for neurology residents and it effect are worthy of recognition, which can provide a reference for medical teaching, especially for the standardized training of resident physicians.
The emergence of single-cell sequencing technology enables people to observe cells with unprecedented precision. However, it is difficult to capture the information on all cells and genes in one single-cell RNA sequencing (scRNA-seq) experiment. Single-cell data of a single modality cannot explain cell state and system changes in detail. The integrative analysis of single-cell data aims to address these two types of problems. Integrating multiple scRNA-seq data can collect complete cell types and provide a powerful boost for the construction of cell atlases. Integrating single-cell multimodal data can be used to study the causal relationship and gene regulation mechanism across modalities. The development and application of data integration methods helps fully explore the richness and relevance of single-cell data and discover meaningful biological changes. Based on this, this article reviews the basic principles, methods and applications of multiple scRNA-seq data integration and single-cell multimodal data integration. Moreover, the advantages and disadvantages of existing methods are discussed. Finally, the future development is prospected.
The comprehensive clinical evaluation of drugs is fundamental work that promotes drugs return to clinical value and it has become one of the most important areas of clinical pharmacy in recent years. The existing literature focuses on the construction of comprehensive clinical evaluation index system or the quantification of index values. However, relatively few studies concerning the value integration method, which may lead to the suboptimal scheme being selected as the optimal scheme. Therefore, this study summarizes various comprehensive value integration methods from the aspects of background, principles and applicable situations, to provide methodological references for comprehensive clinical evaluation in China.
To address issues such as loss of detailed information, blurred target boundaries, and unclear structural hierarchy in medical image fusion, this paper proposes an adaptive feature medical image fusion network based on a full-scale diffusion model. First, a region-level feature map is generated using a kernel-based saliency map to enhance local features and boundary details. Then, a full-scale diffusion feature extraction network is employed for global feature extraction, alongside a multi-scale denoising U-shaped network designed to fully capture cross-layer information. A multi-scale feature integration module is introduced to reinforce texture details and structural information extracted by the encoder. Finally, an adaptive fusion scheme is applied to progressively fuse region-level features, global features, and source images layer by layer, enhancing the preservation of detail information. To validate the effectiveness of the proposed method, this paper validates the proposed model on the publicly available Harvard dataset and an abdominal dataset. By comparing with nine other representative image fusion methods, the proposed approach achieved improvements across seven evaluation metrics. The results demonstrate that the proposed method effectively extracts both global and local features of medical images, enhances texture details and target boundary clarity, and generates fusion image with high contrast and rich information, providing more reliable support for subsequent clinical diagnosis.
