Enhancing efficiency and capacity of telehealth services with intelligent triage: a bidirectional LSTM neural network model employing character embedding.

BACKGROUND: The widespread adoption of telehealth services necessitates accurate online department selection based on patient medical records, a task requiring significant medical knowledge. Incorrect triage results in considerable time wastage for both patients and medical professionals. To address this, we propose an intelligent triage model based on a Bidirectional Long Short-Term Memory (Bi-LSTM) neural network with character embedding to enhance the efficiency and capacity of telehealth services. METHODS: We gathered a 1.3 GB medical dataset comprising 200,000 records, each including medical history, physical examination data, and other pertinent information found on the electronic medical record homepage. Following data preprocessing, a clinical corpus was established to train character embeddings with a medical context. These character embeddings were then utilized to extract features from patient chief  complaints, and a 2-layer Bi-LSTM neural network was trained to categorize these complaints, enabling intelligent triage for telehealth services. RESULTS: 60,000 chief complaint-department data pairs were extracted from clinical corpus and divided into the training, validation, and test sets of 42,000, 9,000, and 9,000, respectively. The character embedding based Bi-LSTM neural network achieved a macro-precision of 85.50% and an F1 score of 85.45%. CONCLUSION: The telehealth triage model developed in this study demonstrates strong implementation outcomes and significantly improves the efficiency and capacity of telehealth services. Character embedding outperforms word embedding, and future work will incorporate additional features such as patient age and gender into the chief complaint feature to future enhance model performance.

Telemedicine in the Battle with 2019 Novel Coronavirus Disease (COVID-19) in Henan Province, China: A Narrative Study.

Background and Objectives: Based on practical services of the Henan Province Telemedicine Center (HTCC), the purpose of this study is to investigate the design, construction, implementation, and application effect of a specific telemedicine system in response to the coronavirus disease 2019 (COVID-19). Methods: Data on COVID-19 cases from December 31, 2019, through October 17, 2022, were collected from official websites. Data and information of telemedicine services related to COVID-19 in HTCC were collected and analyzed, and relevant graphical representations were plotted. Results: All the 147 COVID-19 designated hospitals in the Henan Province were covered by the specific telemedicine system. The cities near to the Hubei Province in the south of Henan tended to be with more COVID-19 cases, where more COVID-19-related telemedicine services were conducted. For the telemedicine system, function modules, including real-time monitoring, command and dispatch, intractable cases transfer, remote guidance, and data sharing, were designed and realized to deal with COVID-19. Through the system, telemedicine services involved COVID-19 such as epidemic surveillance, emergency rescue, case discussion, diagnosis and treatment, remote ward-round, and distance education were performed. During the period between February 2 and March 3, 2020, 646 COVID-19 patients were served by the telemedicine system, with an improvement rate of 73.2%. Conclusions: Telemedicine can improve the diagnosis and treatment of COVID-19 patients, which play a helpful role in curbing the COVID-19 epidemic. Given the current global COVID-19 pandemic and the potential re-emerge of novel zoonotic pathogens in the future, the use of telemedicine would be imperative to fight against the pandemic.

Implementation, service effectiveness and satisfaction with teleconsultation services in China during the COVID-19 pandemic: from the Perspective of Primary Health Care Professionals.

OBJECTIVE: This study aims to evaluate satisfaction and service effectiveness of primary hospital physicians participating in the National Telemedicine Center of China during the COVID-19 period, and to identify potential improvement suggestions. METHODS: An online questionnaire was developed to assess the impact and satisfaction of teleconsultation services. A teleconsultation manager from each of the 98 hospitals randomly invited the medical staff involved in teleconsultation to complete the online questionnaire. RESULTS: A total of 379 health care professionals responded to the online questionnaire, with a mean age of 36.74 years. Out of these respondents, 95.5% had a positive attitude towards teleconsultation during the epidemic. Only 6.6% believed that teleconsultation systems were not useful in preventing and controlling the COVID-19 pandemic. Those respondents who were very satisfied with teleconsultation participated in it 1.81 times per week averagely. Factors related to satisfaction included weekly participation frequency（P=.003）, patient data quality(P=.023), equipment operation proficiency（P=.006）, audio and video clarity and smoothness（P=.004, P=.020）, environmental satisfaction（P=.032）, and incentive measures of title promotion（P=.003）. The main challenges in teleconsultation were the lack of understanding of medical staff and the public, insufficiently advanced software and hardware equipment, and the lack of optimization of service processes. CONCLUSIONS: Primary hospital doctors demonstrate high satisfaction levels, suggesting that teleconsultation could be an effective tool for patients seeking medical care in areas under lockdown during the COVID-19 pandemic. The primary barriers to teleconsultation include lack of public understanding and unadvanced equipment. These findings should inform future efforts to establish regional telemedicine programs in the post-COVID-19 era.

Analysis of potential biomarkers and immune infiltration in autism based on bioinformatics analysis.

Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder caused by both environmental and genetic factors. However, its etiology and pathogenesis remain unclear. The purpose of this study was to establish an immune-related diagnostic model for ASD using bioinformatics methods and to identify ASD biomarkers. Two ASD datasets, GSE18123 and GSE29691, were integrated into the gene expression Database to eliminate batch effects. 41 differentially expressed genes were identified by microarray data linear model (limma package). Based on the results of the immune infiltration analysis, we speculated that neutrophils, B cells naive, CD8+ T cells, and Tregs are potential core immune cells in ASD and participate in the occurrence of ASD. Finally, the differential genes and immune infiltration in ASD and non-ASD patients were compared, and the most relevant genes were selected to construct the first immune correlation prediction model of ASD. After the calculation, the model exhibited better accuracy. The calculations show that the model has good accuracy.

Identification of Circular RNA Profiles in the Liver of Diet-Induced Obese Mice and Construction of the ceRNA Network.

Obesity is a major risk factor for cardiovascular, cerebrovascular, metabolic, and respiratory diseases, and it has become an important social health problem affecting the health of the population. Obesity is affected by both genetic and environmental factors. In this study, we constructed a diet-induced obese C57BL/6J mouse model and performed deep RNA sequencing (RNA-seq) on liner-depleted RNA extracted from the liver tissues of the mice to explore the underlying mechanisms of obesity. A total of 7469 circular RNAs (circRNAs) were detected, and 21 were differentially expressed (DE) in the high-fat diet (HFD) and low-fat diet (LFD) groups. We then constructed a comprehensive circRNA-associated competing endogenous RNA (ceRNA) network. Bioinformatic analysis indicated that DE circRNAs associated with lipid metabolic-related pathways may act as miRNA sponges to modulate target gene expression. CircRNA1709 and circRNA4842 may serve as new candidates to regulate the expression of PTEN. This study provides systematic circRNA-associated ceRNA profiling in HFD mouse liver, and the results can aid early diagnosis and the selection of treatment targets for obesity in the future.

Telemedicine Is Becoming an Increasingly Popular Way to Resolve the Unequal Distribution of Healthcare Resources: Evidence From China.

Background: Few studies focused on the general situation of telemedicine in China. Objectives: The purpose of this review is to investigate telemedicine in China, from the aspects of necessity, history, scale, and operation procedure, to improve the further development and implementation of telemedicine service. Methods: A literature search for peer-reviewed studies was conducted using the primary electronic databases. Additional documents from the official websites of Chinese government departments involved telemedicine was also collected. We extracted telemedicine related information focused on China from the final retrieved materials, and the general situation of telemedicine was drawn. Results: In China, telemedicine offers a feasible solution to the unequal allocation of healthcare resources, which makes telemedicine increasingly become an important alternative to close the gap between rural and urban in the capability and quality of medical services. China initiated telemedicine in the late 1980s. In 2018, China's telemedicine network has covered more than 3,000 hospitals across the country. As of 2019, almost all of the 31 provinces and municipalities in mainland have established regional telemedicine centers, and the market size of telemedicine reached about USD 2.68 billion. Based on the telemedicine network, remote rural patients can apply for healthcare services of top-tier urban hospitals through local county-level medical institutions. Conclusions: Through improving the capacity, quality, and efficiency of healthcare in underserved areas, and reducing the unequal distribution of medical resources, telemedicine can help solve the problems of the difficulty and high cost to access to medical services in China.