Efficiency Of Medical Services Research Articles

The development of day surgery in China and the effectiveness and reflection of day surgery in ophthalmology-specialized hospitals.

This survey investigates the development of day surgery in China, and analyzes the national policy support, medical service management model, disease types of day surgery, medical insurance payment methods, and the medical service capacity, efficiency, quality and safety, health economics indicators, and patient satisfaction after the implementation of day surgery in a tertiary eye hospital. After more than 20 years of development, China's day surgery has shown a good development trend. The implementation of day surgery in eye hospitals accounts for more than 70% of elective surgery, and patients, medical institutions, and medical insurance institutions have all achieved good social benefits.

Flexibly expressive and revocable multi-authority KP-ABE scheme from RLWE for Internet of Medical Things

The emergence of the Internet of Medical Things (IoMT) has presented numerous opportunities for the healthcare industry. It is anticipated to enhance the quality and efficiency of medical services, thus enhancing people’s overall quality of life. However, frequently occurring medical data leakage makes the protection of medical data and privacy in IoMT become a critical issue. Among the solutions, attribute-based encryption (ABE) has been a very promising solution due to its flexible and fine-grained access control to encrypted data. However, the majority of current ABE schemes are based on bilinear pairing and are vulnerable to quantum attacks. The available of multi-authority ABE schemes over lattice only support a single policy such as threshold or AND gate, and lack the ability to implement user or attribute revocation in a flexible manner. For the special algebra structure of the lattice based scheme, how to overcome them is still a challenge at present. Aiming at the above, we propose a novel multi-authority key-policy attribute based encryption (RM-KP-ABE) based on the Ring Learning With Errors (RLWE) assumption. It supports multi-valued attributes and {0,1}-LSSS access policy. This scheme allows multiple authorities to participate in key distribution and enables attribute revocation when dynamic users change their situation. {0,1}-LSSS access policy makes the proposal get highly expressive which supports any monotonic boolean formula. Security analysis and performance evaluations demonstrate that our scheme is secure and efficient.

Identifying and Ranking Critical Success Factors for Cloud Computing Deployment at Mazandaran University of Medical Sciences

Background: Cloud computing offers benefits such as faster innovation, scalability, and the ability to access data from any internet-capable device. Objectives: To explore and identify the critical success factors for cloud computing deployment and ranking at Mazandaran University of Medical Sciences in 2023. Methods: This study employed a mixed approach (qualitative and quantitative) with an exploratory design. The qualitative part utilized the three-step Delphi method, while the quantitative part employed the descriptive method (survey type). A sample of 276 individuals was selected using the stratified random sampling method. Questionnaires were distributed to participants through various methods. Data analysis involved descriptive statistics, exploratory factor analysis, confirmatory factor analysis, and structural equation modeling. Results: The dimension with the highest average value was the service level agreement, with a value of 3.25. In second place was choosing a service vendor, with an average of 3.08, followed by optimization with an average of 2.73, and choosing a model with an average rating of 2. Conclusions: The implementation of cloud computing at Mazandaran University of Medical Sciences could lead to improved quality and efficiency in medical, research, and educational services

Construction of a Spatial Equalization Assessment System for Medical Facilities

The spatial equalization of medical facilities can alleviate the wastage of medical resources and improve the efficiency of medical services. Therefore, it is necessary to carry out spatially balanced planning and assessment of medical facilities in cities. Existing studies on the balanced planning, design, and evaluation of medical facilities have been conducted from the perspective of hospital buildings in terms of spatial utilization efficiency, service satisfaction, and their physical environment on one hand, and from the perspective of regional planning of medical facilities in terms of spatial accessibility to medical facilities and the suitability of medical facilities to the social environment on the other hand. This study hopes to break down the boundaries of each perspective and effectively integrate the architecture, planning, and social well-being of medical facilities, taking spatial equilibrium as the core, in order to establish a spatial equilibrium system for medical facilities and achieve a spatial equilibrium-based assessment of the current state of medical facilities. First, the factors influencing the spatial equilibrium of hospital buildings with the support of the system and environment of hospital buildings are determined. Second, the indicators of the spatial equilibrium of hospital buildings are extracted through the consideration of influencing factors, and the indicator weights are determined by discussing the degree to which they contribute to the influence of the operation of hospital building spatial equilibrium systems, thus forming a system of equilibrium indicators for hospital buildings. Finally, a spatial equilibrium evaluation model for hospital buildings is established to assess the effects of equilibrium. The results obtained in this study provide insights into the regional planning of medical facilities and the design of hospital buildings.

Perancangan Sistem Informasi Peminjaman dan Pengembalian Berkas Rekam Medis Rawat Jalan dengan Metode Waterfall

Wiyung Sejahtera Hospital in recording the borrowing and returning of outpatient medical records still uses expedition books which are recorded manually. The research aims to design and develop an information system to facilitate the process of borrowing and returning outpatient medical record files using the Waterfall method approach. The Waterfall method was chosen because of its ability to divide system development into structured stages, starting from requirements analysis to maintenance. The needs analysis stage involves an in-depth study of existing processes and user needs. Next, system design is carried out by building a design plan that includes database structure, user interface design, and system workflow. System implementation is carried out by developing applications based on previous designs, while system testing is carried out thoroughly to ensure quality and performance before full implementation. The maintenance stage is carried out to ensure system operation and carry out continuous repairs and improvements. As a result, it is hoped that this system can improve the efficiency and quality of outpatient medical record file management and health services as a whole. The conclusion of this research is the successful design and development of a computer-based information system for borrowing and returning outpatient medical records at Wiyung Sejahtera Hospital using the waterfall method.

Challenges and Strategies for Medical Education in the New Era: An Analysis

Medical education, serving as the cornerstone for cultivating future healthcare talent, directly impacts the efficiency and quality of medical services. With the rapid advancement of medical technology and the growing demand for public health, medical education is facing unprecedented challenges and pressures. Optimizing resource allocation, updating educational content and methods, and strengthening soft skills training have become focal points for reform in medical education. This paper aims to explore key issues within medical education and propose effective improvement strategies, providing references and guidance for the development of medical education.

A qualitative study on the health system-related needs in women survivors of rape

BackgroundRape, as an adverse incidence, leads to irreparable complications and consequences in women. Provision of health services to women survivors of rape requires catering for their real needs and identifying current deficits as well as barriers. The present study aimed to explore health system-related needs in women survivors of rape.MethodsIn the present qualitative study, the participants consisted of 39 individuals, including 19 women survivors of rape and 20 individuals with work experience in providing services to women survivors of rape. The participants were selected using the purposive sampling method with a maximum variation in Isfahan, Iran. Data were collected through in-depth interviews as well as field notes and were concurrently analyzed via conventional qualitative content analysis method.ResultsAfter analyzing the interviews, the health system-related needs of women survivors of rape were classified into two main categories: 1- The need for efficient medical care services with three sub-categories, namely “receiving services with respect for privacy and confidentiality”, “non-judgmental behavior and approach”, and “the need to receive empathy and the feeling of not being alone”, and 2- The need for desirable conditions and structure to provide services with two sub-categories, namely “the need to receive comprehensive and integrated services”, and “establishing specialized centers for providing services to survivors”.ConclusionsOverall, explaining and highlighting the health system-related needs of women survivors of rape could provide a suitable basis for policy-making and planning according to their real needs. Receiving continuous services in separate centers with confidentiality and empathy could reduce the worries and concerns of women survivors of rape and help improve their health.

Reflections on the strategy of hospital development based on the characteristics of new hospitals.

The disease spectrum is constantly changing, meaning patients' medical characteristics are complex and varied, and hospital operations are facing great challenges. To provide a basis for formulating relevant policies, promoting the continuous improvement of medical quality, improving the efficiency of medical services and proposing corresponding countermeasures. Information on the first page of the medical cases of patients discharged from 2020-2021 in the case management system of The Second People's Hospital of Zhangye City was collected, and statistical analysis was performed in terms of the origin, age, gender, occupation and main diagnosis of the patients. The database was established using Excel software, and statistical description was performed using SPSS 23.0 software, in which the main indicators were the number of cases and relative numbers (%). The total number of inpatients in the hospital exhibited an overall upward trend, with the number in 2021 increasing by 40.53% compared with the previous year. Among them, 0.75% of the inpatients resided outside the province and 99.25% resided within the province. The proportion of inpatients within the city was 98.86%, including 85.50% in Ganzhou District and 14.5% in the five surrounding counties (districts). In 2021, the number of inpatients in the five surrounding districts increased by 60.67% compared with the previous year. The occupational structure of the inpatients was mainly farmers, accounting for 64.68%, which was higher than all other occupational groups, while public employees accounted for 17.9%. Inpatients aged 60 years and above accounted for 37.75%. In terms of disease spectrum ranking, circulatory, digestive, respiratory, injury and oncological system diseases ranked in the top five of the presented diseases, accounting for 64.47% of the total number of inpatients. The patients of the new hospital are mainly elderly patients and local farmers. The hospital development should be based on the disease characteristics of this group, improving the diagnosis and treatment capacity of the departments and strengthening the capacity building of the hospital and the level of the medical services.

Research on the Application and Effectiveness of the DRG Model on Perioperative Medical Management of Cholecystectomy

Objective: This study aimed to explore the application and effectiveness of the DRG model in the perioperative management of cholecystectomy. By comparing the DRG model with traditional management methods, this study focused on evaluating the potential impact of the DRG model in improving surgical efficiency and reducing complication rates and medical costs. Methods: The random envelope method was used to divide patients scheduled for cholecystectomy from January 2021 to October 2023 into two groups: one group underwent surgery under the DRG model (experimental group), and the other group underwent the traditional management model (control group). Data including basic information, surgery-related data, length of stay, complication records, and medical expenses were collected. Data analysis was carried out using a t-test and chi-square (χ2) test. Results: Results showed that the DRG model shortened the average length of stay, decreased the incidence of complications, reduced medical expenses, and increased patient satisfaction. These results demonstrate the effectiveness of the DRG model in the perioperative management of cholecystectomy, especially in improving surgical efficiency, reducing medical costs, and improving patient satisfaction. Conclusion: The DRG model in the perioperative management of cholecystectomy can significantly improve medical service quality and efficiency and enhance patient satisfaction as compared to traditional treatment methods.

Summary of Outpatient Visits for Characteristic Nursing in Traditional Chinese Medicine.

The aim of this study was to investigate the practical outcomes of traditional Chinese medicine specialty nursing clinics in the clinical setting. Outpatient services have become increasingly popular for seeking medical care. Establishing traditional Chinese medicine specialty nursing clinics can meet the medical needs of the general public, and provide patients with convenient and efficient medical services. This study employed a retrospective cross-sectional observational design to analyze the medical service status of all patients who attended the clinic since its opening. Five qualified traditional Chinese medicine nursing experts identified and implemented 5 categories of traditional Chinese medicine characteristic nursing techniques, including cupping, moxibustion, needle acupuncture, and massage. Nurses and patients evaluated the treatment outcomes for various diseases. Since the establishment of the nursing outpatient department 2 years ago, there have been over 7046 visits, with a satisfaction rate of 97.1%. Currently, 5 nursing experts are nurturing a total of 11 graduate students, conducting 5 free clinics in the nursing outpatient department, and organizing 3 visits by overseas experts. The traditional Chinese medicine specialty nursing outpatient service effectively meets the diverse medical needs of patients, alleviates the outpatient pressure on hospitals, enhances the specialized development of nurses, increases the prominence of traditional Chinese medicine specialty nursing techniques, and promotes traditional Chinese medicine culture.

Gambaran Pengetahuan Masyarakat Tentang Penggunaan Telemedicine di Dusun Peron

One form of evolution in telemedicine health services, which is a reaction from society to the increasingly rapid development of science and technology. In this era of globalization and digital, the concept contained in telemedicine embodies the efficiency of medical services so that satisfaction with services will be achieved well. The aim of this research is to determine the description of public knowledge about telemedicine in Peron Hamlet. This research method is a quantitative descriptive method by distributing questionnaires. The research method is a descriptive survey, sampling using a purposive sampling method with a sample size of 70 respondents. The results of the research show that the level of public knowledge regarding telemedicine in Peron Hamlet is categorized as good (5%), quite good (5%), not good (80%), and not good (10%). So from the research results it can be concluded that the description of the level of knowledge about telemedicine in Peron Hamlet is in the poor category.

Effects of medical consortium policy on health services: an interrupted time-series analysis in Sanming, China.

China has implemented reforms to enhance the operational efficiency of three-level medical services through medical consortiums (MCs). This study evaluated the impact of MCs reform on health services in Sanming, China. An interrupted time-series analysis (ITSA) was conducted to assess the impact of MCs on changes in health service levels and trends across the overall situation of MCs and different institutional types within MCs, including county hospitals and grassroots medical institutions. The evaluation focused on various indicators such as outpatient and emergency visits, inpatients, average length of stay, occupancy rate of hospital beds, and hospital bed turnover times. Monthly data were collected from April 2015 to June 2019 through reports on the Sanming Municipal Health Commission website and the Sanming public hospital management monitoring platform. After the intervention of MCs reform, a significant increase was observed in the total number of inpatients (β3 = 174.28, p < 0.05). However, no statistically significant change was observed in the total number of outpatient and emergency visits (β3 = 155.82, p = 0.91). Additionally, the implementation of MCs reform led to an amplification in service volumes provided by county hospitals, with significant increases in the number of outpatient and emergency visits (β3 = 1376.54, p < 0.05) and an upward trend in the number of inpatients (β3 = 98.87, p < 0.01). However, no significant changes were observed under the MCs policy for grassroots medical institutions regarding the number of outpatient and emergency visits (β3 = -1220.72, p = 0.22) and number of inpatients (β3 = 75.42, p = 0.09). The Sanming MCs reform has achieved some progress in augmenting service volumes. Nevertheless, it has not led to an increase in service volumes at the grassroots medical institutions. There persists an insufficiency in the efficiency of services and a need for further improvement in primary healthcare. To address these concerns, it is imperative for county hospitals to offer targeted assistance that can enhance motivation among grassroots medical institutions. Besides the MCs should explore initiatives, including improved management of medical equipment, allocation of funding, and personnel resources.

An electronic medical record access control model based on intuitionistic fuzzy trust

Electronic Medical Records (EMR), as the core data of medical big data, has improved the efficiency of medical services in the process of sharing and use, but a series of data privacy leakage problems have emerged. Access control technology can ensure users' legitimate and appropriate access to data resources, but traditional access control has many limitations such as static and coarse-grained, which is difficult to meet in the dynamic and complex healthcare environment. We create a model to solve the privacy leakage problem of healthcare big data. The model utilizes the Latent Delicacy Allocation (LDA) topic model to quickly search documents and extract the topic probability distributions between the target patient and other patients' electronic medical records, which improves the efficiency of medical record document analysis; Calculating physician access similarity, we quantify physician access behavior to more accurately describe physician access behavior in the form of data. We combined the intuitionistic fuzzy theory with the trust evaluation method to create a novel trust evaluation method-- Intuitionistic Fuzzy Trust Evaluation Method, which can reflect the uncertainty characteristics that exist in the physician's diagnostic and treatment process when quantifying the trust of the access by using this method, and it is more flexible and practical, which enhances the accuracy of the quantification of the trust. Improving the traditional trust aggregation method by adding a time window and time decay function, the optimized method improves the accuracy of trust aggregation, and the experimental results are more in line with the actual law. We created a new intuitionistic fuzzy trust access control model using a relative entropy-based intuitionistic fuzzy clustering algorithm and a reward and punishment mechanism to achieve adaptive and dynamic access control for physician access behavior. Experiments show that the access control model based on intuitionistic fuzzy trust proposed in this article achieves 95% correctness in identifying user access behaviors and 94.29% correctness in identifying excessive user access behaviors. Experiments have proved that this model has obvious advantages over other models in the process of privacy protection of electronic medical record systems and has certain control effects.

The Location Problem of Medical Drone Vertiports for Emergency Cardiac Arrest Needs

The implementation of medical drones can quickly and efficiently expand the coverage range of an area, allowing for a faster response to incidences of out-of-hospital cardiac arrest and improving the subsequent survival rate of such incidences, while promoting sustainable health development goals under the configuration standards for automatic external defibrillators in China. In response to the problem of the selection of locations for medical drone vertiports (for take-off and landing) that are equipped with automatic external defibrillation facilities, a survival function was introduced to establish a model for site selection, with the primary optimization objective of maximizing the average survival rate of patients and taking the operating costs of a system into account. At the same time, considering the constraints of drone phase operation time, energy consumption, coverage range, etc., a medical drone vertiport site selection model was established for emergency cardiac arrest needs. An improved immune algorithm was applied to the model’s calculations and the analysis of the results, using the Jinnan District in Tianjin as an example. The results show that the proposed model and algorithm are feasible and applicable. The Jinnan District in the city of Tianjin requires a total of 24 medical drone vertiports in order to achieve full coverage of an area under the “golden 4-minute” rescue time. When the average survival rate of patients is 0.9, the operation results are deemed optimal, and the average survival rate of patients is 64.06%. Compared to ground ambulances currently used in hospitals, the implementation of medical drones could significantly shorten response time, improve the average survival rate of patients by 41.96%, and effectively improve the existing low survival rate and the accessibility of medical services. The results of this study can provide decision-making support for the planning of automatic external defibrillators in public places and the construction of sustainable and efficient emergency medical service systems.

Development and optimization of platforms of wise information technology of med based on medical internet of things and blockchain technology

AbstractAs society evolves and the aging population grows, there is an increasing demand for healthcare. Traditional medical service models no longer suffice, leading to issues like uneven distribution of medical resources and varying medical standards. Wise Information Technology in Medicine (WITMED) platforms have emerged in response to this challenge. This study addresses the limitations of conventional medical service models, including resource imbalance, cumbersome procedures, and low informatization. Leveraging Medical Internet of Things (MIoT) and blockchain technology, we researched the development and enhancement of WITMED platforms. To assess the effectiveness of MIoT and blockchain‐based WITMED compared to traditional medical platforms, we evaluated data security, data interoperability, platform response time, and user satisfaction scores. The findings indicate that MIoT and blockchain‐based WITMED outperformed traditional platforms with a 0.13 higher user satisfaction score, improved data security and interoperability, and faster response times. WITMED based on MIoT and blockchain enhances efficiency, convenience, and personalization of medical services, ultimately elevating healthcare quality. Optimizing this platform should focus on improving user experience, data processing capabilities, performance, stability, response time, privacy protection, scalability, interoperability, and technical proficiency to provide superior medical services to users.

INVESTIGATION AND THE ANALYSIS OF MEDICAL BIG DATA AND THE EMPLOYMENT OF ARTIFICIAL INTELLIGENCE FOR DISEASE PREDICTION

The development of technologies like big data, cloud services, Internet+, and artificial intelligence has greatly improved data communication services in the traditional pharmaceutical industry, driving the progress of the healthcare sector in our country. These advancements have facilitated healthcare system reforms, enhanced the quality and efficiency of medical services, and fostered technological innovation. In this context, our research focuses on the following areas and draws the following conclusions: In recent years, the pharmaceutical industry has leveraged technologies such as big data, cloud computing, Internet+, and artificial intelligence to enhance data transmission services. These advancements are considered crucial strategic resources for the pharmaceutical industry and ongoing healthcare system reforms in our country. Their goal is to improve the efficiency and quality of medical services, establish new models of healthcare delivery, and drive economic growth. Given this, our research aims to further explore these advancements. There is an increasing demand for an in-depth exploration of the utilization of logic in the fields of artificial intelligence and computer science. To address this need, the Manual of Logic in Artificial Intelligence and Logic Programming, along with its companion, the Manual of Logic in Computer Science, were developed. These resources combine comprehensive investigations and fundamental research to delve into various underlying topics across multiple disciplines. A foundational understanding of mathematical complexity is assumed as background knowledge, making the material of interest to logicians and mathematicians [1]. However, existing works primarily focus on core concepts and technologies, leaving out extensions, applications, and languages. The handbook aims to provide a comprehensive coverage of constraint programming, offering readers an accurate overview of the entire field and its potential. While each topic is presented in a survey-like manner, some details may be omitted in favor of broader coverage [2].Among various types of uncertainties, randomness and ambiguity are considered crucial and fundamental. The relationship between randomness and ambiguity is discussed, exploring uncertain states and their changes through measures like entropy and hyperentropy. The study investigates uncertainties in chaotic, fractal, and complex networks' evolutions and differentiations. A simple and effective method for simulating uncertainty through knowledge representation is proposed, providing a foundation for automating logical and visual thinking in the presence of uncertainty [4]. The appropriate timing for monitoring implementation remains unclear. Although there is room for improvement, if a data processing algorithm functions correctly, it can be employed separately from the original algorithm. However, there are limitations to its usage [5] Keywords: Big Data, biomedicine, cluster, electronic health cards, healthcare.

Discussion on the Construction and Development of Internet Hospital with "Internet+ Medical Health Management" in the New Era

Under the strategic background of "Healthy China 2030", hospitals use Internet+ to change their development thinking and establish an Internet hospital platform to provide people with more efficient and high-quality full-cycle medical and health management services, which is not only the focus of hospital construction at present, but also the long-term development direction in the future. Internet hospital mainly refers to providing patients with remote consultation, appointment registration, treatment of common diseases and other related services through the Internet. It has the qualification of medical institutions and can realize online and offline collaborative operation, effectively changing the traditional hospital service model. With the application of advanced technology, it can provide patients with life-cycle services, and even enjoy in-hospital medical treatment at home, which improves the level of medical services. This paper analyzes the construction points and related development of internet hospital with "Internet+ Medical Health Management" in the new era, hoping to provide some help to related work.

Improving cloud storage and privacy security for digital twin based medical records

As digital transformation progresses across industries, digital twins have emerged as an important technology. In healthcare, digital twins are created by digitizing patient parameters, medical records, and treatment plans to enable personalized care, assist diagnosis, and improve planning. Data is core to digital twins, originating from physical and virtual entities as well as services. Once processed and integrated, data drives various components. Medical records are critical healthcare data but present unique challenges for digital twins. However, directly storing or encrypting medical records has issues. Plaintext risks privacy leaks while encryption hinders retrieval. To address this, we present a cloud-based solution combining post-quantum searchable encryption. Our system includes key generation using Physical Unable Functions (PUF). It encrypts medical records in cloud storage, verifies records using blockchain, and retrieves records via cloud. By integrating cloud encryption, blockchain verification and cloud retrieval, we propose a secure and efficient cloud-based medical records system for digital twins. Our implementation demonstrates the system provides users efficient and secure medical record services, compared to related designs. This highlights digital twins’ potential to transform healthcare through secure data-driven personalized care, diagnosis and planning.

Pemanfaatan Teknologi Informasi dalam Praktik Keperawatan

This study aims to determine the use of information technology in nursing practices. The method used is a systematic review with the preferred reporting items for systematic review and meta-analysis (prism). The search uses the Boolean phrase "information," "Technology," "Nursing Care," and "Nursing Practice". Literature studies consider original articles, sources from journals, and articles in English. They are available as complete text from international databases, e.g., Science Direct, Scopus, Sage, PubMed, and Proquest. To analyze using Joanna Briggs Institute (JBI). The results showed that information technology can help nurses in increasing collaboration and clinical, supporting decisions in facilitating the integration of clinical workflow between nurses and other medical professionals, improving the quality and efficiency of medical and maintenance services, facilitating communication management in the technology environment, increasing information documentation, Management, and monitoring, improving resource management, improving performance and satisfaction management, policy making, and facilitating the path of organizational and professional growth. CONCLUSION: IT can help nurses increase collaboration and clinical decision support in promoting the integration of clinical workflows between nurses and other medical professionals, satisfaction management, policy making, and reducing the path of organizational and professional growth.&#x0D; &#x0D; Keywords: Nursing Care, Information, Nursing Practices, Technology

Exploring the transformative role of drone technology in advancing healthcare delivery in Africa; a perspective.

This perspective article delves into the transformative potential of drone technology in revolutionising healthcare delivery in Africa. The continent faces numerous challenges in providing timely and efficient medical services to its vast and diverse population, compounded by geographical barriers, inadequate infrastructure and limited access to medical facilities. Amidst these challenges, the integration of drone technology emerges as a promising solution, offering unprecedented opportunities to overcome longstanding obstacles and improve healthcare accessibility across Africa. Drawing from existing drone-based healthcare initiatives in Africa, the article explores various applications of drones in healthcare delivery. These encompass but are not limited to, delivering vaccines, medications, blood samples, diagnostic tools and medical personnel to remote locations in a timely and cost-effective manner. Furthermore, the paper examines the operational challenges and regulatory considerations in deploying drone technology for healthcare and the ethical implications surrounding privacy and security.