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

Data space, as an innovative data management and sharing model, is emerging in the medical and health sectors. This study expounds on the conceptual connotation of data space and delineates its key technologies, including distributed data storage, standardization and interoperability of data sharing, data security and privacy protection, data analysis and mining, and data space assessment. By analyzing the real-world cases of data spaces within medicine and health, this study compares the similarities and differences across various dimensions such as purpose, architecture, data interoperability, and privacy protection. Meanwhile, data spaces in these fields are challenged by the limited computing resources, the complexities of data integration, and the need for optimized algorithms. Additionally, legal and ethical issues such as unclear data ownership, undefined usage rights, risks associated with privacy protection need to be addressed. The study notes organizational and management difficulties, calling for enhancements in governance framework, data sharing mechanisms, and value assessment systems. In the future, technological innovation, sound regulations, and optimized management will help the development of the medical and health data space. These developments will enable the secure and efficient utilization of data, propelling the medical industry into an era characterized by precision, intelligence, and personalization.
Humans ; Computer Security ; Information Dissemination ; Data Management ; Information Storage and Retrieval ; Data Mining

Big Data ; Humans ; Data Management

OBJECTIVE: Acupuncture has demonstrated efficacy as a treatment for fibromyalgia; however, predictors of short- and long-term analgesic response in this population are not well understood. METHODS: This manuscript describes a secondary analysis of a single-center, blinded, sham-controlled, randomized longitudinal acupuncture clinical trial in fibromyalgia. Baseline characterization included pressure pain threshold and pain interference, while residualized change in pain intensity from baseline to follow-up served as the primary outcome measure. Participants were randomized into groups that received verum (n = 36) or sham (n = 29) acupuncture treatment over a 12-week period (18 treatments) and were followed for 37 weeks from the initiation of treatment. RESULTS: Lower pressure pain thresholds at baseline were associated with greater analgesia only in the sham treatment group immediately following treatment, while those with higher pressure pain thresholds had greater analgesia with verum treatment (B = -13.43, P = 0.001). Additionally, greater perceived impact of pain at baseline was predictive of greater short-term analgesia irrespective of treatment. Pressure pain threshold was not found to be predictive of long-term differential treatment response (B = -1.71, P = 0.66). There was a significant difference in the relationship between perceived impact of pain at baseline and subsequent long-term analgesia between groups where those with greater perceived impact of pain displayed improved long-term analgesia for verum acupuncture compared to the sham group (B = -11.37, P = 0.004). CONCLUSION Our results support the use of a self-reported pain outcome in predicting long-term analgesia following acupuncture in fibromyalgia. Please cite this article as: Murphy AE, Arewasikporn A, Taylor-Swanson L, Williams DA, Harris RE. Pressure pain threshold and perceived impact of pain differentially predict short-term and long-term pain reduction following acupuncture in fibromyalgia. J Integr Med. 2025; 23(2): 152-158.
Adult ; Female ; Humans ; Male ; Middle Aged ; Acupuncture Therapy ; Fibromyalgia/therapy* ; Pain Management/methods* ; Pain Measurement/statistics & numerical data* ; Pain Threshold/physiology* ; Pressure ; Treatment Outcome ; Longitudinal Studies

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

BACKGROUND: Quality systematic reviews (SRs) are essential in the practice of evidence-based dermatology. We assessed the methodologic quality of SRs in dermatology from the Philippines. METHODS: We searched databases (MEDLINE, CDSR, PROSPERO, HERDIN; from inception until June 30, 2019), and secondary sources. We included SRs, authored by Filipino primary authors, which included clinical trials on any intervention for the treatment or prevention of a dermatologic disease or for maintenance of healthy skin, hair or nails. Two reviewers independently extracted data and appraised the methodological quality of each included SR using the AMSTAR 2. The 16-item AMSTAR 2 has 7 critical items and 9 non-critical items. The number of critical items mainly determine the overall confidence in the results of the review. Descriptive analysis using means and standard deviation for continuous data, and frequency and percentage distribution for categorical data were employed. RESULTS: Twenty SRs were included in this review, and were mostly published in the 2010s. Majority of SRs had three authors, who belonged to a single institution, with at least one dermatologist. The most common topic was infections and both oral and topical interventions were used. Majority had 5 included studies in the SRs, with a median number of 425 participants. The median number of critical flaws in the included SRs was 4.5, and non-critical flaws, 5. Overall confidence was critically low in majority (19/20 ) of included reviews, with only one review rated as low. CONCLUSION: The methodologic quality of the dermatology SRs from the Philippines based on the AMSTAR 2 tool was poor with a rating of critically low in majority. There is a need to improve quality of conduct and reporting through dissemination of the reporting guidelines such as the PRISMA
Humans ; Nails ; Philippines ; Dermatologists ; Dermatology ; Data Management ; Data Collection ; Publications ; Maintenance ; Reference Standards

Coronavirus Infections ; epidemiology ; prevention & control ; Elective Surgical Procedures ; statistics & numerical data ; Female ; Humans ; Infection Control ; methods ; Infectious Disease Transmission, Patient-to-Professional ; prevention & control ; Male ; Occupational Health ; statistics & numerical data ; Orthopedic Procedures ; methods ; statistics & numerical data ; Outcome Assessment, Health Care ; Pandemics ; prevention & control ; statistics & numerical data ; Patient Safety ; statistics & numerical data ; Pneumonia, Viral ; epidemiology ; prevention & control ; Risk Assessment ; Safety Management ; Singapore ; Wounds and Injuries ; diagnosis ; epidemiology ; surgery

OBJECTIVE: To establish a digital subtraction angiography (DSA) information management and image analysis system to realize scientific management of DSA image information and efficient processing of image data. METHODS: Based on Java Web under Windows 7 environment, a dynamic Browser/Server mode system was constructed by JSP and Servlet on the network. Eclipse and MySQL were used as development tool and database development platform. Tomcat network information service was used as application server. Matlab codes were embedded to analyze DSA image. RESULTS: The system consists of five modules:image information management, image processing, image analysis, advanced retrieval and clinical data management. It may complete such process as storing, deleting, saving, analyzing of DSA image and basic information of patients. CONCLUSIONS The main interface of the system is user-friendly and easy to operate. The system will be helpful to the clinical, teaching and scientific research work related to DSA.
Angiography, Digital Subtraction ; statistics & numerical data ; Databases, Factual ; Humans ; Indonesia ; Information Management ; Internet ; Software ; User-Computer Interface

OBJECTIVE: To explore the high-risk fault risk of CT simulator and the main causes of the risk, and to put forward effective risk management strategies. METHODS: The failure mode and effect analysis method was used to identify and control the operational fault risk of CT simulator. RESULTS: 5 major fault components, 8 fault failure models and 17 failure causes were analyzed. The top 5 failure causes are:anode target surface burn caused by direct scanning without warming up the tube (590.4), tube failure (518.2), burnout of joints caused by aging of high voltage cables (424.2), motor carbon brush wear (304.8) and belt break (296.4). CONCLUSIONS The failure mode and effect analysis method can effectively identify the risk of equipment failure, and thus specifically formulate risk management and control measures to ensure the normal operation of equipment and the safety of doctors and patients.
Equipment Failure ; statistics & numerical data ; Humans ; Risk Management ; methods ; Tomography, X-Ray Computed ; standards

Population-based lifetime health services rely on health management practice. Collection, management and analysis of big data are highly suitable for the huge population base in China. Nowadays, more and more research focus on the methods, security and ethnicity of health management and big data, and a plenty of instructive results have been made, which could be used to guide the future practice and development. Yichang mode has set a precedent for construction and use of big data for health management.
Big Data ; China ; Delivery of Health Care ; Health Services Research ; Population Health Management ; Population Surveillance/methods*