The intensive care unit (ICU) is a highly equipment-intensive area with a wide variety of medical devices, and the accuracy and timeliness of medical equipment data collection are highly demanded. The integration of the Internet of Things (IoT) into ICU medical devices is of great significance for enhancing the quality of medical care and nursing, as well as for the advancement of digital and intelligent ICUs. This study focuses on the construction of the IOT for ICU medical devices and proposes innovative solutions, including the overall architecture design, devices connection, data collection, data standardization, platform construction and application implementation. The overall architecture was designed according to the perception layer, network layer, platform layer and application layer; three modes of device connection and data acquisition were proposed; data standardization based on Integrating the Healthcare Enterprise-Patient Care Device (IHE-PCD) was proposed. This study was practically verified in the Chinese People's Liberation Army General Hospital, a total of 122 devices in four ICU wards were connected to the IoT, storing 21.76 billion data items, with a data volume of 12.5 TB, which solved the problem of difficult systematic medical equipment data collection and data integration in ICUs. The remarkable results achieved proved the feasibility and reliability of this study. The research results of this paper provide a solution reference for the construction of hospital ICU IoT, offer more abundant data for medical big data analysis research, which can support the improvement of ICU medical services and promote the development of ICU to digitalization and intelligence.
Intensive Care Units ; Internet of Things ; Humans ; Internet ; Data Collection

Biomedical data is surging due to technological innovations and integration of multidisciplinary data, posing challenges to data management. This article summarizes the policies, data collection efforts, platform construction, and applications of biomedical data in China, aiming to identify key issues and needs, enhance the capacity-building of platform construction, unleash the value of data, and leverage the advantages of China's vast amount of data.
China ; Humans ; Biomedical Research ; Data Management ; Data Collection

OBJECTIVE: To study the effective method of comprehensive evaluation and analysis of hospital valuable medical equipment performance. METHODS: The operation performance of 6 valuable equipment was evaluated by cost-benefit method, comprehensive index method and public evaluation method. RESULTS: Utilize equipment information management methods for data collection and evaluation, and construct an assessment data model based on evaluation indicators from three aspects: equipment operation status, profitability status, and scientific research contribution. CONCLUSIONS Through the performance analysis of different types of valuable medical equipment, a more real and comprehensive quantitative analysis is carried out, which plays a key role in the reasonable purchase, efficient operation and avoiding idling.
Equipment and Supplies, Hospital ; Hospitals ; Data Collection ; Information Management ; Surgical Equipment

The common data model (CDM) is an important tool to facilitate the standardized integration of multi-source heterogeneous healthcare big data, enhance the consistency of data semantic understanding, and promote multi-party collaborative analysis. The data collections standardized by CDM can provide powerful support for observational studies, such as large-scale population cohort study. This paper provides an in-depth comparative analysis of the data storage structure, term mapping pattern, and auxiliary tools development of the three international typical CDMs, then analyzes the advantages and limitations of each CDM and summarizes the challenges and opportunities faced in the CDM application in China. It is expected that exploring the advanced technical concepts and practical patterns of foreign countries in data management and sharing will provide references for promoting FAIR (findable, accessible, interoperable, reusable) construction of healthcare big data in China and solving the current practical problems, such as the poor quality of data resources, the low degree of semantization, and the inabilities of data sharing and reuse.
Humans ; Big Data ; China ; Cohort Studies ; Data Collection ; Information Dissemination

As an important part of health information standard system, occupational health information standard system is the foundation and guarantee of promoting the construction of occupational health information. This article is based on the literature research about current situation of domestic and foreign health information standards and occupational health information standard system, thus take "the National Health Information Standardization System" and "the National Public Health Information Construction Standards and Norms" into account, focus on the requirements of occupational health information construction and related work. Thus, put forward suggestions on the construction of occupational health information standard system, to accelerate the occupational health information construction, data collection, transmission and application.
Occupational Health ; Data Collection ; Internationality ; Public Health

Objective: To analyze the repetitive reporting of hepatitis B in Fujian province during 2016-2020, and provide evidence for the improvement of hepatitis B surveillance. Methods: The reporting cards from the China Information System for Disease Control and Prevention were collected and divided into repetitive reporting cards and non-repetitive reporting cards from the report cards collected according to the valid ID number on the cards, and the proportion of repetitive report cards and related factors were analyzed by using software SAS 9.4. Results: A total of 314 551 hepatitis B reporting cards were submitted in Fujian from 2016 to 2020, in which 90.93% (286 020/314 551) were included in the analysis. The repetitive reporting cards accounted for 10.48% (29 982/286 020). The annual proportion of the repetitive reporting cards from 2016 to 2020 was between 2.98% and 3.71%, showing an overall increasing trend year by year (Z=2.26, P=0.024). The proportions of the repetitive reporting cards in 1-5 years were 3.17%, 5.40%, 7.74%, 9.27% and 10.48%, respectively, showing an increase trend with year (Z=128.16, P<0.001). The proportions of the repetitive reporting cards in 10 areas of Fujian ranged from 5.44% to 13.48% with significant difference (χ²=2 050.41, P<0.001) and increased with the increase of reported incidence of hepatitis B (Z=26.92, P<0.001). There were significant differences in relationships between repetitive reporting proportion and sex, age and type of the cases between the areas with high incidence and low incidence of hepatitis B. Conclusions: The reported incidence of hepatitis B was seriously affected by the repetitive reporting in Fujian from 2016 to 2020. A cross-year and cross-area surveillance mechanism for hepatitis B should be established and targeted measures should be taken to strengthen the control of the repetitive reporting and improve the surveillance for hepatitis B.
China/epidemiology* ; Data Collection ; Hepatitis B/epidemiology* ; Humans ; Incidence ; Software

The existence of garbage codes in death cause surveillance data sets could influence the accuracy of the death cause statistics, and subsequently affect the precision and effectiveness of public health policy making. International and domestic researchers have studied the characteristics of garbage codes in various death cause data sets from different countries or regions in the world. They proposed several approaches for redistributing garbage codes, such as expert consultancy, fixed proportional reassignment, using the information about death cause chain, building statistical models, and so on. This paper summarizes and compares the principles, applications and limitation of application scenarios of currently common methods for garbage code redistribution in order to provide some references for improving the accuracy and usefulness of the death cause data in China.
Causality ; Cause of Death ; Data Collection ; Humans ; Models, Statistical ; Public Policy

OBJECTIVE: Preliminary assessment of rabies virus neutralizing activity, safety and immunogenicity of a recombinant human rabies antibody (NM57) compared with human rabies immunoglobulin (HRIG) in Chinese healthy adults. METHODS: Subjects were randomly (1:1:1) allocated to Groups A (20 IU/kg NM57), B (40 IU/kg NM57), or C (20 IU/kg HRIG). One injection was given on the day of enrollment. Blood samples were collected on days -7 to 0 (pre-injection), 3, 7, 14, 28, and 42. Adverse events (AEs) and serious AEs (SAEs) were recorded over a period of 42 days after injection. RESULTS: All 60 subjects developed detectable rabies virus neutralizing antibodies (RVNAs) (> 0.05 IU/mL) on days 3, 7, 14, 28, and 42. The RVNA levels peaked on day 3 in all three groups, with a geometric mean concentration (GMC) of 0.2139 IU/mL in Group A, 0.3660 IU/mL in Group B, and 0.1994 IU/mL in Group C. At each follow-up point, the GMC in Group B was significantly higher than that in Groups A and C. The areas under the antibody concentration curve over 0-14 days and 0-42 days in Group B were significantly larger than those in Groups A and C. Fifteen AEs were reported. Except for one grade 2 myalgia in Group C, the other 14 were all grade 1. No SAEs were observed. CONCLUSION The rabies virus neutralizing activity of 40 IU/kg NM57 was superior to that of 20 IU/kg NM57 and 20 IU/kg HRIG, and the rabies virus neutralizing activity of 20 IU/kg NM57 and 20 IU/kg HRIG were similar. Safety was comparable between NM57 and HRIG.
Adult ; Antibodies, Neutralizing ; Antibodies, Viral ; Data Collection ; Humans ; Rabies/prevention & control* ; Rabies Vaccines/adverse effects* ; Rabies virus/genetics*

PURPOSE: Traumatic brain injury (TBI) is one of the major public health concerns worldwide. Developing a TBI registry could facilitate characterizing TBI, monitoring the quality of care, and quantifying the burden of TBI by collecting comparable and standardized epidemiological and clinical data. However, a national standard tool for data collection of the TBI registry has not been developed in Iran yet. This study aimed to develop a national minimum data set (MDS) for a hospital-based registry of patients suffering from TBI in Iran. METHODS: The MDS was designed in 2 phases, including a literature review and a Delphi study with content validation by an expert panel. After the literature review, a comprehensive list of administrative and clinical items was obtained. Through a two-round e-Delphi approach conducted by invited experts with clinical and research experience in the field of TBI, the final data elements were selected. RESULTS: A MDS of TBI was assigned to 2 parts: administrative part with 5 categories including 52 data elements, and clinical part with 9 categories including 130 data elements. CONCLUSION For the first time in Iran, we developed a MDS specified for TBI consisting of 182 data elements. The MDS would facilitate implementing a TBI's national level registry and providing essential, comparable and standardized information.
Brain Injuries, Traumatic/epidemiology* ; Data Collection ; Hospitals ; Humans ; Iran/epidemiology* ; Registries

Objective: To understand the epidemiological characteristics of a local clustered epidemic caused by 2019-nCoV Delta variant in Ningbo and provide reference for the improvement of COVID-19 epidemic prevention and control. Methods: Case finding was conducted based on case definitions, and field epidemiological investigation of COVID-19 cases was carried out. In which Nasal and oropharyngeal swabs of the cases were collected for pathogen testing, and the results were analyzed with descriptive epidemiological methods. Results: A total of 74 COVID-19 cases were reported in this epidemic, and the cases were mainly mild ones, accounting for 87.84% (65/74), and there were no severe or critical cases. The epidemic curve showed a human-to-human transmission mode, indicating that a transmission for at least six generations had occurred. The age of the COVID-19 patients ranged from 2 years to 80 years, and 27.03% (20/74) of the cases were older than 60 years. The cases were mainly workers (55.41%, 41/74) and housework/the unemployed (27.03%, 20/74). The COVID-19 epidemic was limited, and no further spread to other areas occurred. The transmission chain among the cases was clear, and the gene sequencing results confirmed that the current epidemic was caused by 2019-nCoV Delta variant, which was highly homologous to the strains from other province. Conclusion: The local COVID-19 epidemic in Ningbo was caused by imported cases of COVID-19 from other province, and local community spread occurred through daily contacts between cases and contacts.
COVID-19/epidemiology* ; Child, Preschool ; Data Collection ; Epidemics ; Humans ; SARS-CoV-2