Healthcare Management System Research Articles

Analisis Pelaksanaan Rujukan Pasien Rawat Jalan Peserta BPJS Kesehatan di Puskesmas Mataram

The referral system is a healthcare management system that carries out the transfer of mutually accountable responsibilities for a specific medical case or health problem either vertically, meaning from a less capable unit to a more capable unit, or horizontally, meaning among units of similar capabilities. The referral system regulates the flow of where someone with a particular health problem should seek examination for their health issues. The purpose of this research is to analyze the Implementation of Outpatient Referral for Participants of the Health Social Security Agency (BPJS Kesehatan) at Mataram Community Health Center. The method used in this research employs a qualitative descriptive approach to gain an overview of the analysis of outpatient referral implementation for BPJS Kesehatan participants at Mataram Community Health Center. Descriptive means that the data collected are in the form of words, images, and not numerical values. The findings of the research indicate that the implementation of outpatient referral at the Community Health Center shows that it has not fully run smoothly. Patient knowledge varies, with some understanding and others not understanding. The facilities and infrastructure are still lacking, some diseases diagnosed under code 144 are still referred, many referrals are initiated by the patients themselves, and there are outpatient referrals from outside healthcare facilities.

Cognitive analytics enabled responsible artificial intelligence for business model innovation: A multilayer perceptron neural networks estimation

Cognitive analytics employs and analyses complex and heterogeneous data sources generating deeper insights that mimic the natural intelligence of the human brain. Cognitive analytics-enabled Artificial Intelligence (AI) that promotes Business Model Innovation (BMI) for the efficiency of the healthcare system is a nascent and undertheorized domain. Within the healthcare management systems, stakeholders’ engagement with AI, particularly with responsible AI, to optimize BMI and improve business performance is bounded by several caveats. Using the Technology Acceptance Model (TAM) and Social Network Theory (SNT) as our conceptual foci, we empirically examine through the Multilayer Perceptron Neural Network the extent to which responsible AI leads to Business Model Innovation (BMI) through the stakeholders’ engagement. Our contributions are novel which demonstrate that cognitive analytics-enabled responsible AI is central to innovation, and healthcare stakeholders exhibit a robust propensity to reorientate and innovate their existing BMI to achieve improved business performance. It has significant implications for innovation, AI and cognitive analytics literature.

Developing guidelines for ethical response to infectious disease outbreaks in Islamic Republic of Iran.

Ethical considerations are important in pandemic preparedness and response, however, there is a noticeable scarcity of ethical codes that are tailored to disease outbreaks and health emergencies. To document the development of guidelines for ethical management of infectious disease outbreaks in Islamic Republic of Iran, as a model for low- and middle-income countries. We conducted a non-systematic scoping review on PubMed and Google Scholar for drafting the guidelines for ethical management of infectious disease outbreaks in Islamic Republic of Iran. The draft was discussed and revised following consultations with different groups of experts and the Medical Ethics Council of the Iranian Academy of Medical Sciences. The joint assembly of the National Clinical Ethics Committee and the Supreme Council of Medical Ethics endorsed and introduced the revised document as official guidelines for ethical response to infectious disease outbreaks in Islamic Republic of Iran. The guidelines were based on a set of core values and principles: human dignity, liberty, maximizing benefits and minimizing risks, and justice and transparency. In 3 distinct sections, the document provides ethical guidance for healthcare system management and leadership; provision of health services; and for education, research and use of technology during health emergencies. The guidelines have been very useful in responding ethically to the COVID-19 pandemic, there may be a need to adapt some of the recommendations for optimum benefits in specific contexts. It is necessary to create awareness of the existence of the document and educate healthcare professionals about its importance so they can apply the recommendations in their practice.

MediConnect360

This paper presents the development and implementaton of a comprehensive healthcare management system named ”MediConnect 360.” In response to the challenges posed by traditonal paper-based systems , MediConnect 360 ofers a digital soluton to streamline administratve tasks, enhance patent care , and ensure data security . The paper outlines the objectves , scope , methodology,feasibility study , and requirements specifcaton of the MediConnect 360 project .Additonally , it provides a comparison with existng healthcare management systems to highlight the unique features and benefts of MediConnect 360. Index Terms — Healthcare management , digital solution , MediConnect 360, patent care, data security.

Celebrating 10 Years of the HIMSS-SIIM Enterprise Imaging Community and Enterprise Imaging Informatics

AbstractIn response to the growing recognition of enterprise imaging as a critical component of healthcare’s digital transformation, in 2014, the Healthcare Information and Management Systems Society (HIMSS) and the Society for Imaging Informatics in Medicine (SIIM) signed a Memorandum of Understanding to form the HIMSS-SIIM Enterprise Imaging Community (HSEIC). At the time of the agreement, the two organizations decided to collaborate to lead enterprise imaging development, advancement, and adoption. This paper celebrates the past 10 years of the HSEIC’s thought leadership, industry partnerships, and impact while also looking ahead to identify enterprise imaging challenges to solve in the next decade.

Roles and challenges encountered by midwives in the management of postpartum haemorrhage following normal vaginal delivery: A scoping review

AbstractAimsTo establish a comprehensive understanding of the roles of midwives and the challenges they encounter in the prevention, diagnosis and management of postpartum haemorrhage (PPH) following normal vaginal delivery.DesignWe conducted a scoping review following the Preferred Reporting Items for Systematic Reviews and Meta‐Analysis for Scoping Reviews (PRISMA‐ScR) recommendations.MethodsWe considered studies related to the roles of midwives and the challenges they encounter in the prevention, diagnosis and management of PPH during vaginal delivery. We excluded guidelines, consensuses, abstracts of meetings and non‐English language studies. Databases, including the Cochrane Library, PubMed, Web of Science, Ovid, Medline, Embase, JBI EBP and BIOSIS Previews, were searched on January 1, 2023, with no time limitations.ResultsWe included 28 publications. Midwives play important roles in the prevention, diagnosis and management of postpartum haemorrhage during vaginal delivery. In the prevention of PPH, midwives' roles include identifying and managing high‐risk factors, managing labour and implementing skin‐to‐skin contact. In the diagnosis of PPH, midwives' roles include early recognition and blood loss estimation. In the management of PPH, midwives are involved in mobilizing other professional team members, emergency management, investigating causes, enhancing uterine contractions, the repair of perineal tears, arranging transfers and preparation for surgical intervention. However, midwives face substantial challenges, including insufficient knowledge and skills, poor teamwork skills, insufficient resources and the need to deal with their negative emotions. Midwives must improve their knowledge, skills and teamwork abilities. Health care system managers and the government should give full support to midwives. Future research should focus on developing clinical practice guidelines for midwives for preventing, diagnosing and managing postpartum haemorrhage.

The digital health care and digital twins as its components: the systematic review

The article presents systematic review of National and foreign publications concerning strategy of digital society development, definitions and concepts of digital twins in health care. The analysis of development of digital twins of patients and application of digital twins of human organs in medicine is presented. The experience of digital twins functioning in health care management system in Russia and abroad is presented.

CHALLENGES AND SOLUTIONS IN IMPLEMENTATION OF HEALTH MANAGEMENT SYSTEM FINANCING IN NIGERIA

Health care management system financing plays a vital role in ensuring the availability and accessibility of quality health care services. However, numerous challenges and constraints exist that can hinder the effective financing and sustainability of health care systems. Understanding and addressing these challenges is essential for improving health care financing mechanisms and achieving better health outcomes (124, 125) Healthcare systems in suffer from neglect and underfunding, leading to severe challenges across the six World Health Organization (WHO) pillars of healthcare delivery. We conducted this study to identify the principal challenges in the health sector in and their solutions for evidence-based decisions, policy development and program prioritization Insufficient Funding Allocation: One of the primary challenges in health care management system financing is the inadequate allocation of funds. Limited financial resources can restrict the availability of essential health care services, compromise service quality, and undermine the overall functioning of the health care system. Insufficient funding allocation hampers infrastructure development, workforce capacity building, and the procurement of medical supplies and equipment (126).

Next-Gen Medical Technology a Smart Approach to Syringe Injection Pump Automation

This presents the design, implementation, and successful validation of a cutting-edge IoT-based Syringe Injection Pump (SIP) for precision medication administration. In response to the increasing demand for enhanced healthcare automation, this system leverages technologies to address critical challenges in medication delivery. This SIP incorporates a robust Internet of Things (IoT) framework, enabling seamless communication between the device and a central healthcare management system. The automated syringe injection process is governed by a sophisticated algorithm that considers patient-specific parameters, ensuring precise dosage administration. Through extensive testing and real-world simulations, the results demonstrate a significant reduction in human error and improved medication adherence. The system’s architecture integrates secure communication protocols, ensuring data confidentiality and integrity during transmission. An innovative user interface provides healthcare professionals with real-time monitoring and control capabilities, enhancing situational awareness and responsiveness. Furthermore, the SIP’s adaptability to diverse medical environments underscores its versatility in meeting the evolving needs of healthcare institutions. To validate the system’s effectiveness, a comprehensive performance evaluations, including dosage accuracy, response time, and reliability under varying conditions was conducted. Results indicate an impressive dosage precision of 99.8%, showcasing the system’s reliability in critical healthcare scenarios. The IoT connectivity facilitates remote monitoring and control, allowing healthcare providers to intervene promptly in case of anomalies or emergencies. In addition to its technical prowess, the SIP aligns with current healthcare trends by promoting sustainability and cost-effectiveness. The automated system optimizes resource utilization, reduces medication waste, and minimizes the environmental impact associated with traditional manual injection methods. In conclusion, this IoT-based Syringe Injection Pump represents a paradigm shift in medical technology, offering a smart and results-oriented solution for precise medication administration. The successful implementation and validation of this system pave the way for improved patient outcomes, streamlined healthcare workflows, and a more sustainable approach to medication delivery. This research contributes to the ongoing discourse on advancing medical technology and underscores the potential of IoT in shaping the future of healthcare.

Blockchain for Healthcare Management Systems : A Survey on Interoperability and Security

In recent years it has been shown that the secure exchange of medical information significantly benefits people’s life quality, improving their care and treatment. The interoperability of the entire healthcare ecosystem is a constant challenge, and even more, with all the risks posed to the security of healthcare information. Blockchain technology is emerging as one of the main alternatives when it comes to finding a balance in the healthcare ecosystem. However, the constant development of new Blockchain technologies and the evolution of healthcare systems make it difficult to find established proposals. From an architectural point of view, the design of blockchain-based solutions requires trade-offs e.g., security and interoperability. This paper focuses on two main objectives, in the first one, it was carried out a Systematic Literature Review for exploring architectural mechanisms used to support the interoperability and security of Blockchain-based Health Management Systems. Taking into account of results, a series of scenarios were generated where these mechanisms can be used along with their context, issues, and various architectural concerns (interoperability and security). In the second objective, a high-level architecture and its validation were proposed through an experiment for the whole process of developing a Domain Specific Language, using the Model Driven Engineering methodology for specific Smart Contracts.

Blockchain Based MediChain System Connecting Pharma, Medicals and Patients Together.

In today’s world almost all hospital uses hardcopy for patient data store and for booking appointment. All patient data is available on paper and user need to manage that all over he goes. Consider ’A’ patient got admitted in City Pune, all his data is stored on paper and what medicines he took. All the info about his health is stored there. After someday ‘A’ patient gone to another city far away without carrying any documents and there he got and health emergency and is not in condition of speaking and need urgently help. But due to lack of info available about patient doctor could not urgently take decisions. So, to reduce this risk our system is developed. The distribution of Health records becomes a time consuming and expensive process when we use the traditional client-server healthcare data management system where each hospital/clinic maintains its own database of patients’ medical records. A patient’s treatment is further delayed if the patient moves from one hospital to another hospital across different regions or countries. Moreover, most of the time a patient must repeat several laboratory and radiology tests. So, to address this the patient’s medical data from different hospitals are stored in a Blockchain based storage making it easily accessible by patients and the hospitals. And the pharma company will be able to store the information of medicines and medicals will be available to verify the medicines if they are from trustworthy companies. Keyword - - Dapp, Web3.Js, CSS.

Assessment of the global healthcare industry during COVID-19 pandemic: A content analysis approach

Background Content analysis (CA) is an investigative research tool used in healthcare studies to identify imminent challenges while providing lead time for preparedness measures. The objective of this study is to report on the challenges confronting the global healthcare industry. Methods This study used the conventional CA “bottom-up” approach to a quantitative data. CA is a research technique that uses the qualitative research method and word counts to evaluate communication outcomes. A group of executive master’s in business administration (EMBA) and medical students championed the study. Using 13 periodicals as the data sources, researchers conducted online keyword searches for all articles, titles, and abstracts containing the word “healthcare”. The collected data was gathered from five international, four Middle Eastern, and four Lebanese periodicals from January 1, 2021 to December 31, 2021. Results CA results indicate remarkable domination of keywords “COVID-19 health impact” as a major worldwide theme. Significant differences were noticeable among subcategories but remained related to COVID-19 in particular, social responsibilities, and research and development. Topics such as comorbid illnesses, social responsibility, healthcare logistics, and the well-being of healthcare service providers were among the least covered topics. Conclusion Our findings emphasize the importance of global media and their coverage of healthcare issues on the types of healthcare topics (e.g., vaccines, drugs…) covered in the Lebanese periodicals in our study. Thus, global healthcare media are the main source for Lebanese periodicals reporting healthcare issues rather than the Lebanese healthcare authorities. Therefore, there is need for the development of a more efficient technology-driven healthcare management system. At the global level, there is a need to develop a step-by-step action-oriented strategic initiative to respond to emerging pandemics.

Widespread pfhrp2/3 deletions and HRP2-based false-negative results in southern Ethiopia

BackgroundRapid diagnostic tests (RDTs) play a significant role in expanding case management in peripheral healthcare systems. Histidine-rich protein-2 (HRP2) antigen detection RDTs are predominantly used to diagnose Plasmodium falciparum infection. However, the evolution and spread of P. falciparum parasite strains with deleted hrp2/3 genes, causing false-negative results, have been reported. This study assessed the diagnostic performance of HRP2-detecting RDTs for P. falciparum cases and the prevalence of pfhrp2/3 deletions among symptomatic patients seeking malaria diagnosis at selected health facilities in southern Ethiopia.MethodsA multi-health facilities-based cross-sectional study was conducted on self-presenting febrile patients seeking treatment in southern Ethiopia from July to September 2022. A purposive sampling strategy was used to enroll patients with microscopically confirmed P. falciparum infections. A capillary blood sample was obtained to prepare a blood film for microscopy and a RDT using the SD Bioline™ Malaria Pf/Pv Test. Dried blood spot samples were collected for further molecular analysis. DNA was extracted using gene aid kits and amplification was performed using nested PCR assay. Exon 2 of hrp2 and hrp3, which are the main protein-coding regions, was used to confirm its deletion. The diagnostic performance of RDT was evaluated using PCR as the gold standard test for P. falciparum infections.ResultsOf 279 P. falciparum PCR-confirmed samples, 249 (89.2%) had successful msp-2 amplification, which was then genotyped for hrp2/3 gene deletions. The study revealed that pfhrp2/3 deletions were common in all health centres, and it was estimated that 144 patients (57.8%) across all health facilities had pfhrp2/3 deletions, leading to false-negative PfHRP2 RDT results. Deletions spanning exon 2 of hrp2, exon 2 of hrp3, and double deletions (hrp2/3) accounted for 68 (27.3%), 76 (30.5%), and 33 (13.2%) of cases, respectively. The study findings revealed the prevalence of P. falciparum parasites lacking a single pfhrp2-/3-gene and that both genes varied across the study sites. This study also showed that the sensitivity of the SD Bioline PfHRP2-RDT test was 76.5% when PCR was used as the reference test.ConclusionThis study confirmed the existence of widespread pfhrp2/3- gene deletions, and their magnitude exceeded the WHO-recommended threshold (> 5%). False-negative RDT results resulting from deletions in Pfhrp2/3- affect a country’s attempts at malaria control and elimination. Therefore, the adoption of non-HRP2-based RDTs as an alternative measure is required to avoid the consequences associated with the continued use of HRP-2-based RDTs, in the study area in particular and in Ethiopia in general.

Factors associated with the timely diagnosis of malaria and the utilization of types of healthcare facilities: a retrospective study in the Republic of Korea.

This study aimed to analyze trends in the timely diagnosis of malaria cases over the past 10 years in relation to the utilization of different types of healthcare facilities. The study included 3,697 confirmed and suspected cases of malaria reported between January 1, 2013, and December 31, 2022, in the national integrative disease and healthcare management system. Some cases lacking a case report or with information missing from the case report were excluded from the analysis. A generalized linear model with a Poisson distribution was constructed to estimate risk ratios and 95% confidence intervals adjusted for other variables, such as distance. When cases involving diagnosis >5 days after symptom onset in confirmed patients (5DD) were examined according to the type of healthcare facility, the risk ratio of 5DD cases was found to be higher for tertiary hospitals than for public health facilities. Specifically, the risk ratio was higher when the diagnosis was established at a tertiary hospital, even after a participant had visited primary or secondary hospitals. In an analysis adjusted for the distance to each participant's healthcare facility, the results did not differ substantially from the results of the crude analysis. It is imperative to improve the diagnostic capabilities of public facilities and raise awareness of malaria at primary healthcare facilities for effective prevention and control.

Visualization and Improvement of the Quality, Efficiency, and Equity of the Healthcare System - Secondary Publication.

In a depopulating society, it is difficult to ensure sufficient resources and finances for health and health care. Thus, effective management of the reform of the healthcare system by visualizing the quality, efficiency, and equity of health care is imperative. This article presents an overview of the studies conducted by my team in this area over the past 35 years, covering the following four sections: (1) visualization of healthcare system using individual-level data, (2) healthcare system at the organizational level, (3) healthcare system at the national and regional levels, and (4) creation of a social system for health. To improve the quality, efficiency, and equity of the healthcare system as well as the social system for people's health, it is necessary to visualize the actual situation and share this information with all stakeholders to contribute to the joint management of healthcare system. On this basis, from the perspectives of each region and the nation, it is important to visualize and grasp various wider determinants of people's health and healthcare performance and to improve health care and social systems.

Predicting Multiple Diseases with Machine Learning and Streamlit: Enhancing Healthcare Digitally

Machine learning (ML) and streamlit technologies have emerged as strong tools in the field of healthcare, with the ability for predicting and diagnosing many diseases with impressive precision and speed. This research study examines the transformational potential of ML algorithms combined with streamlit for disease prediction, highlighting their numerous uses and significant impact on healthcare delivery. Predictive models can be constructed using broad datasets and powerful machine learning techniques to anticipate the onset, development, and treatment results of many diseases, ranging from chronic ailments to infectious illnesses. The inclusion of streamlit creates an easy-to-use user experience for medical personnel and patients alike, allowing for smooth engagement with models of prediction and improving decision-making processes. In addition, the use of such prediction models has the potential to improve early detection, personalized therapy techniques, and resource management in healthcare systems. However, the application of ML-based disease prediction systems raises concerns about data privacy, model clarity, and ethical consequences. By overcoming these obstacles and seizing the opportunities provided by ML and streamlit, the future of healthcare holds enormous promise for improving patient outcomes and expanding medical research.

Improving Healthcare Data Security and Privacy With Blockchain technology using SHA-256 Algorithm

Block chain technology has the potential to completely transform healthcare management systems by enhancing data security, interoperability, and integrity because to its decentralized and unchangeable structure. Sensitive patient information is more difficult for bad actors to breach thanks to the SHA-256 algorithm, which improves data security. Interoperability between diverse healthcare systems is facilitated by smart contracts and standardized data formats. However, issues with user adoption, scalability, and regulatory compliance also face block chain implementation in the healthcare industry. This study offers important insights into the changing environment of healthcare data management by highlighting the possible advantages and challenges of integrating block chain technology in healthcare management systems.

Портрет регионального министра здравоохранения – 2023.

The heads of regional executive authorities in the sphere of health protection are key figures in the implementation of the health care development strategy of the Russian Federation. The effective management of the healthcare system, as well as the achievement of national goals and target indicators of federal projects, requires highly qualified managerial staff. The annual study of the level of knowledge, skills, work experience and professional skills of regional ministers makes it possible to update information on the human resource potential of the top managers of regional health care systems, assess the changes and timely develop measures aimed at its improvement. The aim of the study was to assess the changes in human resource potential of the heads of regional executive authorities in the sphere of health protection of the Russian Federation in 2021–2023. Materials and methods. A single-stage, continuous sociological study was planned and conducted using a questionnaire developed by the experts of the Institute, which allows to assess changes in such characteristics as: age and gender composition of respondents, the level of higher and additional education, the professional competencies, and length of service in managerial positions. Results. We achieved a response from 86 respondents. It was found that during the last three years, there has been a significant decrease in the rate of rotation of the heads of regional health protection systems with a simultaneous increase in the level of their professional qualifications. The revealed trends are reflected in the growth of the average length of service as a regional minister (2021–2.1+1.9 years, 2022–2.3+2.5 years, 2023–2.9+2.2 years), 3,5 reduction in the number of respondents in the group with a length of service as a regional minister up to one year, an increase in the proportion of managers with professional qualification «Health Care Organization and Public Health». Conclusions. The study allowed to identify the key trends and changes that have occurred over the past three years in terms of the qualitative characteristics of the managerial human resource potential of regional health care systems in the Russian Federation. The heads of regional executive authorities in the sphere of health protection represent the most important resource of the field. Consistent and reliable decrease in the rotation of regional health care system managers is reflected in the growth of their professional skills, knowledge and experience, which allows to achieve the national goals in healthcare set by the President and the Government of the Russian Federation.

HealthNet: IoT-based Healthcare Monitoring and Management System

Abstract: The Internet of Things (IoT) is a network of interconnected devices that can collect, store, analyze and transmit data over the Internet. IoT has the potential to revolutionize the healthcare industry by enabling remote patient care, telemedicine, electronic medical records, medication management, imaging and monitoring. The Internet of Things can also improve patient safety, reduce healthcare costs, increase healthcare accessibility, and increase efficiency. However, IoT in healthcare still faces challenges such as security, privacy, wearability, and design. This article reviews the latest research on IoT in healthcare, focusing on the technology, applications, benefits, and challenges of IoT in healthcare

MedEase+ - A Healthcare System

Abstract: India is a very populous nation, recently surpassing China and Russia. According to the World Health Organization data from 2019, India had approximately 1.45 doctors per 1,000 people. Due to this difference in ratio, the issues related to soft flow of hospital management are on inclining graph. Therefore, the introduction of project MedEase+ comes into light. The purpose of this project is to implement a proper healthcare management system integrating all the basic functionalities powered by an Artificial Intelligent chat bot that is capable of having a very organic conversation with the user and solving their queries using knowledge base. The knowledge base is a collection of real-time data that is pre-processed using bag of words to prepare it for additional processing. The data is collected in a JSON format where Natural Language Understanding (NLU) comes into picture. The chat bot has the ability to offer navigation links based on the user's requests. Moreover, it has the ability to suggest seeking medical advice or taking any necessary instant action. And it also offers diagnostics information in advance. Furthermore, this project provides a robust web application using Django framework to carry out the functionalities and services of both hospital administration and user engagement.