Humans ; Female ; MicroRNAs/genetics* ; Breast Neoplasms/genetics* ; Point-of-Care Systems ; Early Detection of Cancer ; Gene Expression Regulation, Neoplastic

In December 2022, the American Academy of Pediatrics released a clinical guideline for point-of-care ultrasonography (POCUS) in the neonatal intensive care unit (NICU). The guideline outlined the development and current status of POCUS in the NICU, and summarized the key elements and implementation guidelines for successful implementation of POCUS in the NICU. This article provides an overview of the key points of the clinical guideline and analyzes the current status of POCUS in China, providing a reference for the implementation of POCUS in neonatal care in China.
Infant, Newborn ; Humans ; United States ; Child ; Intensive Care Units, Neonatal ; Point-of-Care Systems ; Ultrasonography ; China

OBJECTIVE: To develop a mortality prediction model for critically ill patients based on multidimensional and dynamic clinical data collected by the hospital information system (HIS) using random forest algorithm, and to compare the prediction efficiency of the model with acute physiology and chronic health evaluation II (APACHE II) model. METHODS: The clinical data of 10 925 critically ill patients aged over 14 years old admitted to the Third Xiangya Hospital of Central South University from January 2014 to June 2020 were extracted from the HIS system, and APACHE II scores of the critically ill patients were extracted. Expected mortality of patients was calculated according to the death risk calculation formula of APACHE II scoring system. A total of 689 samples with APACHE II score records were used as the test set, and the other 10 236 samples were used to establish the random forest model, of which 10% (n = 1 024) were randomly selected as the validation set and 90% (n = 9 212) were selected as the training set. According to the time series of 3 days before the end of critical illness, the clinical characteristics of patients such as general information, vital signs data, biochemical test results and intravenous drug doses were selected to develope a random forest model for predicting the mortality of critically ill patients. Using the APACHE II model as a reference, receiver operator characteristic curve (ROC curve) was drawn, and the discrimination performance of the model was evaluated through the area under the ROC curve (AUROC). According to the precision and recall, Precision-Recall curve (PR curve) was drawn, and the calibration performance of the model was evaluated through the area under the PR curve (AUPRC). Calibration curve was drawn, and the consistency between the predicted event occurrence probability of the model and the actual occurrence probability was evaluated through the calibration index Brier score. RESULTS: Among the 10 925 patients, there were 7 797 males (71.4%) and 3 128 females (28.6%). The average age was (58.9±16.3) years old. The median length of hospital stay was 12 (7, 20) days. Most patients (n = 8 538, 78.2%) were admitted to intensive care unit (ICU), and the median length of ICU stay was 66 (13, 151) hours. The hospitalized mortality was 19.0% (2 077/10 925). Compared with the survival group (n = 8 848), the patients in the death group (n = 2 077) were older (years old: 60.1±16.5 vs. 58.5±16.4, P < 0.01), the ratio of ICU admission was higher [82.8% (1 719/2 077) vs. 77.1% (6 819/8 848), P < 0.01], and the proportion of patients with hypertension, diabetes and stroke history was also higher [44.7% (928/2 077) vs. 36.3% (3 212/8 848), 20.0% (415/2 077) vs. 16.9% (1 495/8 848), 15.5% (322/2 077) vs. 10.0% (885/8 848), all P < 0.01]. In the test set data, the prediction value of random forest model for the risk of death during hospitalization of critically ill patients was greater than that of APACHE II model, which showed by that the AUROC and AUPRC of random forest model were higher than those of APACHE II model [AUROC: 0.856 (95% confidence interval was 0.812-0.896) vs. 0.783 (95% confidence interval was 0.737-0.826), AUPRC: 0.650 (95% confidence interval was 0.604-0.762) vs. 0.524 (95% confidence interval was 0.439-0.609)], and Brier score was lower than that of APACHE II model [0.104 (95% confidence interval was 0.085-0.113) vs. 0.124 (95% confidence interval was 0.107-0.141)]. CONCLUSIONS The random forest model based on multidimensional dynamic characteristics has great application value in predicting hospital mortality risk for critically ill patients, and it is superior to the traditional APACHE II scoring system.
Female ; Male ; Humans ; Aged ; Adult ; Middle Aged ; Adolescent ; Critical Illness ; Hospitalization ; Length of Stay ; APACHE ; Hospital Information Systems

The COVID-19 global pandemic has overwhelmed health services with large numbers of patients presenting to hospital, requiring immediate triage and diagnosis. Complications include acute respiratory distress syndrome, myocarditis, septic shock, and multiple organ failure. Point of care ultrasound is recommended for critical care triage and monitoring in COVID-19 by specialist critical care societies, however current guidance has mainly been published in webinar format, not a comprehensive review. Important limitations of point of care ultrasound include inter-rater variability and subjectivity in interpretation of imaging findings, as well as infection control concerns. A practical approach to clinical integration of point of care ultrasound findings in COVID-19 patients is presented to enhance consistency in critical care decision making, and relevant infection control guidelines and operator precautions are discussed, based on a narrative review of the literature.
Humans ; COVID-19/complications* ; SARS-CoV-2 ; Point-of-Care Systems ; Decision Support Systems, Clinical ; Ultrasonography

OBJECTIVE: To solve the ESB bus performance and safety problems caused by the explosive growth of the hospital's business, and to ensure the stable interaction of the hospital's business system. METHODS: Taking the construction of our hospital's information system as an example, we used AlwaysOn, load balancing and other technologies to optimize the ESB bus architecture to achieve high availability and scalability of the hospital's ESB bus. RESULTS: The ESB bus high-availability architecture effectively eliminates multiple points of failure. Compared with the traditional dual-machine Cluster solution, the security is significantly improved. The nodes based on load balancing can be scaled horizontally according to the growth of the hospital's business volume. CONCLUSIONS The construction of the ESB bus high-availability architecture effectively solves the performance and security issues caused by business growth, and provides practical experience for medical information colleagues. It has certain guiding significance for the development of regional medical information.
Hospital Information Systems ; Information Systems

INTRODUCTION: Linkage to care among individuals with substance misuse remains a barrier to the elimination of the hepatitis C virus (HCV). We aimed to determine whether point-of-care (PoC) education, screening and staging for liver disease with direct access to hospitals would improve linkage to care among this group. METHODS: All participants were offered PoC education and HCV screening. HCV-positive participants were randomised to standard care (controls) or direct access, which provided a direct pathway to hospitals. Linkage to care was determined by reviewing electronic medical records. Linkage of care cascade was defined as attendance at the specialist clinic, confirmation of viraemia by HCV RNA testing, discussion about HCV treatment and initiation of treatment. RESULTS: 351 halfway house residents were screened. The overall HCV prevalence was 30.5% (n = 107), with 69 residents in the control group and 38 in the direct access group. The direct access group had a significantly higher percentage of cases linked to specialist review for confirmatory RNA testing (63.2% vs. 40.6%, p = 0.025), HCV treatment discussion (p = 0.009) and treatment initiation (p = 0.01) compared to the controls. Overall, only 12.6% (n = 13) had treatment initiation during follow-up. PoC HCV screening with direct access referral had significantly higher linkage to HCV treatment initiation (adjusted odds ratio 9.13, p = 0.005) in multivariate analysis. CONCLUSION PoC HCV screening with direct access improves linkage to care and simplifies the HCV care cascade, leading to improved treatment uptake. PoC education, screening, diagnosis and treatment may be an effective strategy to achieving HCV micro-elimination in this population.
Antiviral Agents/therapeutic use* ; Halfway Houses ; Hepacivirus/genetics* ; Hepatitis C/epidemiology* ; Humans ; Pilot Projects ; Point-of-Care Systems ; RNA ; Referral and Consultation ; Substance Abuse, Intravenous/epidemiology*

According to users and places, blood glucose monitoring systems(BGMSs) can be divided into self-monitoring blood glucose test systems(SMBGs) and Point-of-Care Blood Glucose monitoring systems(POC-BGMSs). The Food and Drug Administration(FDA) believes that standards for SMBGs and POC-BGMSs should be different because of different operators, different use environments, different intendance uses and different applicable populations. Now the international standards for evaluating BGMSs include ISO 15197:2013 issued by International Organization for Standardization(ISO), two guidelines on blood glucose monitoring systems issued by FDA, and POCT12-A3 guidelines issued by the American Association for Clinical and Laboratory Standardization(CLSI), ISO standard and FDA guideline-OTC are applicable in SMBGs, CLSI guideline and FDA guideline-POCTI2-A3 are suitable for POC-BGMSs. By analyzing the accuracy evaluation processes of BGMSs based on four standard documents, it is found that the accuracy evaluation of medical BGMSs is more stringent. It is proposed that SMBGs and POC-BGMSs should be supervised separately.
Blood Glucose ; Blood Glucose Self-Monitoring ; Point-of-Care Systems ; Reference Standards ; Reproducibility of Results ; United States ; United States Food and Drug Administration

Kidney malignant tumor is a type of primary renal cell carcinoma, and mainly refers to renal cancer. The incidence of kidney cancer and the number of hospital cases in China have been increasing. Based on the clinical medicine information of patients in the hospital information system(HIS) database of 37 hospitals in China, the combined medication of patients with kidney malignant tumor were analyzed by Tabu search algorithm, so as to analyze the combined medication of patients with kidney malignant tumor in real world. A total of 7 095 patients with kidney malignant tumor were included, the ratio of males to females was 2.11∶1, and the ratio of male patients increased gradually with age. About 3 933 patients(55.43%) showed a superior effect among those patients. The common therapies of patients with kidney malignant tumor were anti-tumor therapies and symptomatic therapies, including anti-infection, regulation of electrolyte balance, sedation and analgesia, analgesic, regulation of gastrointestinal function. The whole population of patients with kidney malignant tumor were mostly treated with anti-tumor drugs combined with more symptomatic therapies, while the anti-tumor therapies of the superiority population of patients were less combined with other drugs, with less combined medication. The result may be related to the stage of tumor or individual response to the therapeutic regimen. No matter for the whole population or for the superiority population of patients with kidney malignant tumor, the therapies was mainly Western medicines. Based on the pathogenesis of deficiency in origin and excess in superficiality with kidney malignant tumor, Chinese subgroups with formula for clearing heat and removing toxicity, formula for vigorate Qi and replenish the blood, formula for regulate Qi and invigorate the blood, laxative and hemostatic were more commonly used. In the future, further studies shall be conducted for combined therapies for patients of different stages, so as to play the advantages of multi-target, overall regulation, toxicity reduction and efficacy enhancement of traditional Chinese medicine, improve the life quality of patients with kidney malignant tumor, prolong their life time, and improve the survival rate of patients.
Asian Continental Ancestry Group ; China ; Drugs, Chinese Herbal ; Female ; Hospital Information Systems ; Humans ; Kidney Neoplasms ; Male ; Medicine, Chinese Traditional

Point-of-care ultrasound (POCUS) is a useful tool that is widely used in the emergency and intensive care areas. In Korea, insurance coverage of ultrasound examination has been gradually expanding in accordance with measures to enhance Korean National Insurance Coverage since 2017 to 2021, and which will continue until 2021. Full coverage of health insurance for POCUS in the emergency and critical care areas was implemented in July 2019. The National Health Insurance Act classified POCUS as a single or multiple-targeted ultrasound examination (STU vs. MTU). STU scans are conducted of one organ at a time, while MTU includes scanning of multiple organs simultaneously to determine each clinical situation. POCUS can be performed even if a diagnostic ultrasound examination is conducted, based on the physician's decision. However, the Health Insurance Review and Assessment Service plans to monitor the prescription status of whether the POCUS and diagnostic ultrasound examinations are prescribed simultaneously and repeatedly. Additionally, MTU is allowed only in cases of trauma, cardiac arrest, shock, chest pain, and dyspnea and should be performed by a qualified physician. Although physicians should scan all parts of the chest, heart, and abdomen when they prescribe MTU, they are not required to record all findings in the medical record. Therefore, appropriate prescription, application, and recording of POCUS are needed to enhance the quality of patient care and avoid unnecessary cut of medical budget spending. The present article provides background and clinical guidance for POCUS based on the implementation of full health insurance coverage for POCUS that began in July 2019 in Korea.
Abdomen ; Budgets ; Chest Pain ; Critical Care ; Dyspnea ; Emergencies ; Heart ; Heart Arrest ; Insurance Coverage ; Insurance ; Insurance, Health ; Korea ; Medical Records ; National Health Programs ; Patient Care ; Point-of-Care Systems ; Prescriptions ; Shock ; Thorax ; Ultrasonography

OBJECTIVE: To explore the integration method and technical realization of artificial intelligence bone age assessment system with the hospital RIS-PACS network and workflow. METHODS: Two sets of artificial intelligence based on bone age assessment systems (CHBoneAI 1.0/2.0) were developed. The intelligent system was further integrated with RIS-PACS based on the http protocol in Python flask web framework. RESULTS: The two sets of systems were successfully integrated into the local network and RIS-PACS in hospital. The deployment has been smoothly running for nearly 3 years. Within the current network setting, it takes less than 3 s to complete bone age assessment for a single patient. CONCLUSIONS The artificial intelligence based bone age assessment system has been deployed in clinical RIS-PACS platform and the "running in parallel", which is marking a success of Stage-I and paving the way to Stage-II where the intelligent systems can evolve to become more powerful in particular of the system self-evolution and the "running alternatively".
Age Determination by Skeleton ; Artificial Intelligence ; Bone and Bones ; Hospital Information Systems ; Hospitals ; Humans ; Radiology Information Systems ; Systems Integration