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Analysis of the Profile of Primary Diagnosis Codes for Diabetes Mellitus Inpatients at Dr. Soekardjo Regional General Hospital Tasikmalaya Based on ICD-10, ICD-11, and SNOMED CT
Get PDFBackground: the accuracy of a diagnosis code is essential in financing health services and diseases and procedure indexing and hospital management information. Based on the results of the preliminary study, diabetes mellitus is among the top 10 diseases. While coding 10 medical record documents, three consisted of 30% which were accurate, and the seven recorded 70% were found to be accurate. The four-character of the code was predominantly the character with many inaccuracies. Therefore, the researchers conducted a study on the accuracy of a diagnosis code at Dr. Soekardjo Regional General Hospital specifically on inpatient cases of diabetes mellitus in 2022.
Methods: A quantitative type of study with a descriptive research design was implied in the study. The study object is data coding of diabetes mellitus cases. Data are collected by observation and interviews
Results: According to the research results, diabetes mellitus is one of the top 10 diseases, while 40 medical record documents were coded, 20 (50%) were inaccurate and 20 (50%) were accurate, while the highest percentage of unaccuracy occurs in the fourth character of the code. The alignment of codes based on ICD-11 revealed that 10 documents (25%) were not aligned due to lack of specificity regarding ulcer complications and gastropathy.The alignment of codes based on SNOMED CT showed that 40 documents were aligned with the SNOMED CT clinical phrase standards.
Conclusion: The inaccuracies in diabetes mellitus diagnosis coding at Dr. Soekardjo Regional General Hospital are attributed to less specific diagnoses, unclear handwriting by doctors in patient medical records, and coding personnel still facing difficulties in determining complication coding. The researchers suggest solutions such as involving coders and medical personnel in training and socialization activities related to diagnosis codes, particularly for Diabetes Mellitus
Philosophy and Morality of the Era of Antibiotics using the Example of Acute Pneumonia
Get PDFThe widespread and uncontrolled use of antibiotics for more than eighty years, including not only medicine, but also the food industry, has had a significant impact on the usual relationships between representatives of the microbiosphere that accompanies our body. For a long time, the possibility of side effects remained without due attention, giving way to attempts to maintain the original antimicrobial effect of these drugs. Currently, evidence of the consequences of antibiotic therapy has received official recognition only in the form of resistant microflora. Phenomena such as the constant change of AP pathogens and the gradual loss of antibiotics for their purpose remain unstudied. The selective nature of specialists' attention to the side effects of antibiotics is due to a decrease in their effectiveness and the desire to restore the successes of previous therapy. The latter circumstance is a consequence of the negative didactic influence of antibiotics on professional views that determine the strategy for solving the problem and require, first of all, changes in accordance with the fundamental canons of medical science and numerous facts
Investigating the Impact of Corporate Social Responsibility on Relationship Quality Performance and Outcomes
Get PDFFacing drastic changes in business environment, banks are incorporating Corporate Social Responsibility (CSR) as parts of customer relationship management strategies in quest for customer loyalty. Despite the importance of CSR, research on the influences of CSR on relationship quality and customer loyalty is scarce. This study aims to examine the relationships between CSR, relationship quality and customer loyalty in banking context in Hong Kong. Through convenient sampling method, a total of 212 online surveys were collected. The findings discovered CSR (Philanthropic responsibility, Ethical responsibility, Legal responsibility, and Economic responsibility) affected relationship quality and customer loyalty. Among the dimensions, Philanthropic responsibility exhibited significant influence on relationship quality while relationship quality showed a significant impact on customer loyalty. The study provides theoretical implications for service research and service encounter management. It will practically add-value to managers and practitioners in designing and developing CSR strategies to promote long-term loyalty between banks and their clients
Early Development of the Human Face
Get PDFThe face is the viscerocranium that, together with the neurocranium, forms the skull. Its developmental anatomy is a complex process and must be easily understood so that surgeons and public health practitioners can recognize and manage it properly with ease. In this short article, we aim to review facial development in a simple way that can be easily followed by medical and health professionals. Facial development begins early in the fetus's life in the womb with the appearance of 5 mesodermal ridges (processes) surrounding the stomodeum. These processes include a frontonasal process, two maxillary processes, and two mandibular processes. These processes fuse together to form the cheek on each side and leave an opening for the mouth. Any error in fusion can lead to various congenital facial deformities which must be treated as soon as possible
Revolutionary Role of Stem Cell Therapy Coupled with Modern AI Based Technologies in Diabetes Management and Remission
Get PDFType 2 diabetes is a chronic metabolic disorder characterized by high blood sugar levels over a prolonged period. It is a significant global health issue, affecting millions of people worldwide. The traditional treatment for diabetes involves medication, lifestyle changes, and regular monitoring of blood sugar levels to decide on treatment modifications accordingly. However, recent advancements in modern technologies/techniques involving artificial intelligence (AI) and stem cell therapy have shown promising results in achieving excellent diabetes care outcomes and even remission, which was never conceivable a few decades ago. AI-driven interventions enable the development of tailored treatment plans, leveraging patient data to optimize glycaemic control and predict complications. Whole Body Digital Twin (WBDT) models provide holistic insights, facilitating significant rates of diabetes remission. Stem cell therapy when coupled with newer technologies has shown to be revolutionary towards this. Especially therapies targeting the mammalian Target of Rapamycin (mTOR) pathway show a great potential for regenerating damaged pancreatic beta cells and improving insulin production. However, challenges such as data privacy concerns with AI models utilising big data and ethical considerations in stem cell research persist; there is a need for regulatory norms towards this especially with the availability of these advanced treatment modalities, which would be the face of medical science in the coming years. For sure, combining AI and stem cell-based therapies present an innovative approach to enhance diabetes management, enabling the identification of suitable candidates for treatment and predicting treatment success. Diabetes was considered a lifelong disease that carried a huge burden of secondary organ complications over a period. This manuscript explores the potential of these innovative approaches in treating diabetes and discusses the scientific evidence supporting their utility
Gut Microbiota as Therapeutic Targets in Diabetes Management: Opportunities and Challenges
Get PDFThis article delves into the complex interplay between Type 2 Diabetes Mellitus (T2DM), gut microbiota, and dietary strategies for effective diabetes management. T2DM, characterized by insulin resistance and β-cell dysfunction, is influenced by genetic and environmental factors. The gut-brain axis and alterations in incretin functioning contribute to gastrointestinal permeability in T2DM. Plant-based diets offer substantial benefits for managing T2DM by improving emotional well-being, HbA1c levels, weight, and cholesterol. High-fiber diets positively impact gut microbiota, serum metabolism, and emotional health in T2DM individuals. Probiotics, prebiotics, synbiotics, and postbiotics (PPSP) are emerging as pivotal interventions. Probiotics improve serum fructosamine, HbA1c, and cholesterol levels, while prebiotics like oligofructose-enriched inulin and synbiotics enhance glycemic control and lipid profiles. Insights from microbiome studies in diverse dietary populations provide personalized approaches for diabetes management. Integrating plant-based nutrition, PPSP interventions, and microbiome-focused strategies may offer a comprehensive and effective approach to T2DM management, addressing physiological aspects and empowering individuals in their health journey
Application of Belief Theories for Railway Track Defect Detection
Get PDFFaced with increasing traffic, railway infrastructures are encountering growing demands, particularly in high-traffic areas. In this context, rail and sleepers emerge as the components most susceptible to failure. To assist infrastructure managers (IM) in optimizing network maintenance, we have explored a novel method for detecting critical defects on the track. The objective is to develop a process for real-time analysis of railway infrastructure that is both frugal and efficient and can be installed on board commercial trains. This new infrastructure monitoring system integrates deep learning networks with a data fusion model based on belief theory. By modeling the decision-making process of a human operator, this processing chain has achieved detection rates exceeding 90% for the five primary defects: defective fasteners, broken fishplates and rails, surface defects, and missing nuts
Optimizing Stock Market Forecasts: The Role of AI and Hybrid Models in Predictive Analytics
Get PDFForecasting stock market movements is a challenging and significant task for both researchers and investors. Stock market movements are affected by local and global economic factors, as well as political developments. This field of research requires substantial knowledge of finance, statistics, and Artificial Intelligence to achieve reliable results. To understand stock market movements, we must interpret a significant amount of information from non-linear, volatile, and non-parametric raw data. To reduce the complexity of stock market forecasting, we need to extract key features from this raw data. To simplify the task of stock market forecasting for researchers and traders, we conducted a study on the Indian stock market and present a comprehensive summary report. This report includes an analysis of 50 research articles related to the Indian stock market, along with some highly cited articles pertaining to other international markets
Advancements in Unsupervised Learning: Mode-Assisted Quantum Restricted Boltzmann Machines Leveraging Neuromorphic Computing on the Dynex Platform
Get PDFThe integration of neuromorphic computing into the Dynex platform signifies a transformative step in computational technology, particularly in the realms of machine learning and optimization. This advanced platform leverages the unique attributes of neuromorphic dynamics, utilizing neuromorphic annealing - a technique divergent from conventional computing methods - to adeptly address intricate problems in discrete optimization, sampling, and machine learning. Our research concentrates on enhancing the training process of Restricted Boltzmann Machines (RBMs), a category of generative models traditionally challenged by the intricacy of computing their gradient. Our proposed methodology, termed “quantum mode training”, blends standard gradient updates with an off-gradient direction derived from RBM ground state samples. This approach significantly improves the training efficacy of RBMs, outperforming traditional gradient methods in terms of speed, stability, and minimized converged relative entropy (KL divergence). This study not only highlights the capabilities of the Dynex platform in progressing unsupervised learning techniques but also contributes substantially to the broader comprehension and utilization of neuromorphic computing in complex computational tasks
We are “Body Donors” NOT cadavers
Get PDFOn September 16, 2024, NBC National news reported on the usage of unclaimed bodies by the University of North Texas Health Science (UNTHSC) Center for Anatomical Sciences in Fort Worth, Texas