Design of an Interactive Two-Way Telemedicine Service System for Smart Home Care for the ElderlyRead the full article
Journal of Healthcare Engineering provides a vehicle for the exchange of advanced knowledge, emerging technologies, and innovative ideas related to all aspects of engineering involved in healthcare delivery processes and systems.
Chief Editor, Professor Zollo, has research expertise in neuro-robotics and biomedical technologies for neuroscience, rehabilitation and assistance robotics, and robotic and mechatronic devices for personal assistance and service robotics.
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Text Mining-Based Drug Discovery in Osteoarthritis
Background. Osteoarthritis (OA) is a chronic and degenerative joint disease, which causes stiffness, pain, and decreased function. At the early stage of OA, nonsteroidal anti-inflammatory drugs (NSAIDs) are considered the first-line treatment. However, the efficacy and utility of available drug therapies are limited. We aim to use bioinformatics to identify potential genes and drugs associated with OA. Methods. The genes related to OA and NSAIDs therapy were determined by text mining. Then, the common genes were performed for GO, KEGG pathway analysis, and protein-protein interaction (PPI) network analysis. Using the MCODE plugin-obtained hub genes, the expression levels of hub genes were verified using quantitative real-time polymerase chain reaction (qRT-PCR). The confirmed genes were queried in the Drug Gene Interaction Database to determine potential genes and drugs. Results. The qRT-PCR result showed that the expression level of 15 genes was significantly increased in OA samples. Finally, eight potential genes were targetable to a total of 53 drugs, twenty-one of which have been employed to treat OA and 32 drugs have not yet been used in OA. Conclusions. The 15 genes (including PTGS2, NLRP3, MMP9, IL1RN, CCL2, TNF, IL10, CD40, IL6, NGF, TP53, RELA, BCL2L1, VEGFA, and NOTCH1) and 32 drugs, which have not been used in OA but approved by the FDA for other diseases, could be potential genes and drugs, respectively, to improve OA treatment. Additionally, those methods provided tremendous opportunities to facilitate drug repositioning efforts and study novel target pharmacology in the pharmaceutical industry.
The Effect of Suppression Taurine on Relocation and Epithelial-Mesenchymal Transition in Mankind Lung Cancer Cells
Aim. Taurine is believed to have antioxidant properties and has been implicated in the treatment of neurodegenerative disease, atherosclerosis, coronary heart disease, and prostate cancer. This research focused on taurine inhibition effects of expression related to migration and epithelial-mesenchymal transition- (EMT-) A549 study on related genes of human being non-small-cell lung cancer. Methods. MTT assays assessed cell viability and a RadiusTM assay showed that taurine also inhibited the lung cancer cell migration. Using RT-PCR and Western blot, the migration and EMT markers were identified and evaluated. Results. We found that taurine significantly decreased the expression of migration markers matrix metallopeptidase 9 (MMP-9) and vascular endothelial growth factor (VEGF). In contrast, TIMP metallopeptidase inhibitor 1 (TIMP-1) and TIMP metallopeptidase inhibitor 2 (TIMP-2) expressions were increased with taurine treatment. In addition, we found an association between taurine treatment and the expression of EMT markers. The expression of epithelial marker E-cadherin and the mesenchymal marker N-cadherin TWIST-1 was decreased, but the expression of zinc finger protein SNAIL-1 and E-zinc finger homeobox 1 (ZEB-1) was increased. Conclusion. Taken together, our study strongly suggests the therapeutic significance of taurine, which possesses antimigration activity and induces EMT markers expression in lung cancer cells.
A DEA-Based Decision Support Framework for Organizations’ Performance Evaluation considering TQM and Knowledge Management
Total quality management (TQM) and knowledge management (KM) play a significant role in improving the situation of the organization and creating and maintaining competitive advantage (CA). Therefore, harmonizing TQM and KM with the organizational goals and performance leads to the organization’s greater capabilities. The current paper presents a decision support framework to evaluate the performance of organizations based on the success factors (SFs) of TQM and KM using the BCC model of data envelopment analysis (DEA). The SFs of KM are considered as input and the SFs of TQM are considered as output of the BCC model, and the efficiency scores of five pharmaceutical companies in Esfahan, Iran, are obtained. The results show that, among the aforementioned companies, three companies were recognized as efficient, while two of them were introduced as inefficient companies. Furthermore, in order to provide more recommendations for the managers of these companies, two area charts according to SFs of TQM and KM were drawn, and the results were analyzed and discussed.
Prevention and Nursing Research of PICC Catheter-Related Complications in Patients with Digestive System Malignant Tumor Based on Smart Medical Block Chain
Malignant tumors of digestive system mainly include gastric cancer, colorectal cancer, and esophageal cancer, which generally need chemotherapy. PICC refers to peripherally inserted central venous catheter, which plays an important role in the treatment of malignant tumor patients with chemotherapy, and it has the characteristics of high success rate of puncture and reducing the pain of patients. Its principle is to use PICC catheter for drug delivery, which can effectively reduce the pain of tumor patients for multiple puncture, and also can avoid drug extravasation or local stimulation of drugs. However, PICC catheter-related complications cannot be ignored, to some extent, directly affect the treatment effect of patients, and increase the pain and burden of patients. Therefore, this paper proposes a study of PICC catheter-related complications and protective nursing for patients with digestive system cancer based on smart medical block chain. First of all, using the method of literature, this paper deeply studied the combination of smart medicine and block chain and further strengthened the research on PICC catheter-related complications. Based on this, we designed a study on the prevention and nursing of PICC catheter-related complications in patients with digestive system cancer. Before the implementation of nursing, the incidence of complications in patients with digestive system cancer was 17.35%; after the implementation of nursing, the incidence of complications decreased to 4.08%. The purpose of this study is to analyze the causes through clinical research and put forward the protective nursing measures of related diseases, so as to reduce the incidence of PICC-related complications.
Design of the Internet plus Drug Circulation Business Model Based on Value Chain
With the continuous development of computers and the Internet, all industries in China have brought new opportunities for change, and pharmaceutical e-commerce has also shown great potential for development. With the call and encouragement of national policies, the “Internet + drug distribution” business model has shown great potential to replace the traditional drug distribution model in the near future due to its advantages of shortening the transaction process and reducing the cost of enterprises. This paper presents a literature review on theories related to “Internet + drug distribution,” value chain and business model at home and abroad, and focuses on how traditional drug distribution enterprises should adopt the “Internet + drug distribution” model when the country is vigorously promoting it. The study focuses on how traditional pharmaceutical distribution companies should innovate their business models from the perspective of value chain to seek better development. By comparing the business models before and after the innovation, the new business model of “Internet + drug distribution” can help enterprises establish diversified value propositions, increase revenue channels, and reduce operating costs. At the same time, it can integrate and innovate the internal and external value chains of enterprises, so that traditional pharmaceutical distribution enterprises can further enhance their competitiveness and expand their market share. This thesis can enrich the application of value chain and business model theories in the field of “Internet + drug distribution,” and it is hoped that the model experience developed in this thesis can be used as a reference for similar enterprises in their transformation process.
Modeling of Hidden Markov in Ultrasound Image-Assisted Diagnosis
Different segmentation of lung nodules using the same segmentation algorithm can easily lead to excessive segmentation errors. Therefore, it is necessary to design an effective segmentation algorithm to improve image segmentation accuracy. Based on the hidden Markov model, this study processed the ultrasound images of pulmonary nodules to improve their diagnostic results. At the same time, this study was combined with the ultrasound image of lung nodules to process the ultrasound images. In addition, this study combines the convex hull algorithm for image processing, uses the improved vector method to repair, improves image recognizability, establishes a reliable feature extraction algorithm, and establishes a comprehensive diagnostic model. Finally, this study designed the test for performance analysis. Through experimental research, it can be seen that the model constructed in this study has certain clinical effects and can provide theoretical reference for subsequent related research.