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83 articles for “medication errors”
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A Study and Report on the Role of Clinical Pharmacy Services Provided by the Doctor of Pharmacy in the Management of Thyroid Disorders (Hyperthyroidism and Hypothyroidism) to a Tertiary Care Hospital
Abstract: Thyroid hormones affect the function of virtually every organ system. In children, thyroid hormone is critical for normal growth and development but in adults, the main role of these thyroid hormones is to maintain stability. The main thyroid hormones which play such an important are the Thyroxine (T4) and Triiodothyronine (T3) hormones. Hence, Thyroid disorders encompass a variety of disease states affecting thyroid hormone production or secretion that result in …
Published in Trends in Drug Delivery · Vol. 8, Issue 2, 2023 · pp. 25–38 Read article
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A Study to Evaluate the Effectiveness of Planned Teaching Program on Knowledge Regarding Medico-Legal Aspects Among the Nurses of Selected Hospitals at Dharwad
Abstract: Background: Nurses need to update their knowledge regarding medico-legal aspects to reduce the errors related to care and documentation maintained in the profession. The present study aims to assess the knowledge of nurses on medico-legal aspects, to plan the teaching program and to find the effectiveness of planned teaching program in improving the knowledge of nurses. Material and Method: An evaluative approach using one group pretest posttest design was adopted. …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 3, Issue 2, 2025 · pp. 9–14 Read article
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Role of Clinical Pharmacists During Cardiopulmonary Resuscitation in Intensive Care Units and Emergency Departments: A Narrative Review
Abstract: Cardiopulmonary resuscitation (CPR) represents an essential emergency procedure designed to reestablish spontaneous circulation and enhance survival rates among individuals suffering cardiac arrest. Successful resuscitation necessitates prompt clinical judgment, expeditious pharmaceutical interventions, compliance with advanced cardiovascular life support (ACLS) guidelines, and synchronized interprofessional collaboration. During recent decades, clinical pharmacists have gained greater incorporation within emergency response and resuscitation units owing to their specialized knowledge in medication oversight, pharmacotherapeutic enhancement, and patient …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 4, Issue 1, 2026 · pp. 12–25 Read article
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Intelligent Medical Devices and Robotics in Modern Healthcare: Technological Advancements and Economic Considerations
Abstract: The integration of robots and intelligent medical devices in intensive care units (ICUs) represents a significant advancement in healthcare technology. These systems, including robotic assistants, automated monitoring tools, and AI-powered diagnostic devices, are designed to enhance patient care, streamline workflows, and reduce human error. Robots in the ICU can assist with routine tasks such as medication delivery, patient repositioning, and even basic surgeries, enabling healthcare professionals to focus on critical …
Published in Journal of Advancements in Robotics · Vol. 11, Issue 3, 2024 · pp. 18–27 Read article
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Robotics & Automation: Will it be the Game Changer in the Indian Healthcare Industry?
Abstract: Healthcare can be defined as improvement of health of the population by preventing and curing disease (includes both physical and mental impairments) by proper diagnosis and treatment. Robotics is the study of two interdisciplinary subjects, one of which is engineering and the other is computer science. Robotics includes various processes such as construction, design, logical arrangement and use of robots for ensuring accuracy of the services to be provided. Robotics …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 2, 2024 · pp. 33–45 Read article
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Impact of Training Program on Recent Innovations in Oncology Among Nursing Professionals
Abstract: Introduction: In recent years, there have been significant advancements and trends in the field of oncology treatment in India. This study aimed to evaluate impact of training program on knowledge regarding recent innovations in oncology among nursing professionals. After ethical approval, a pre-experimental, one group pretest- post-test design was used to conduct this research at anursing college of Punjab. Methods: The sample was selected using the total enumerative sampling technique. …
Published in International Journal of Oncological Nursing and Practices · Vol. 3, Issue 1, 2025 · pp. 9–14 Read article
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A Review of Various Deep Learning Models for Classification of BrainTumor
Abstract: Brain Tumor is most challenging and life threading decease now these days. Timely accurately detection of brain tumor is play important role for patient health improvement and it increase life survival rate. Traditional of brain tumor detection relay heavily on manual interpretation of medicalimage, it is very time consuming and chance to human error in detection of brain tumor. Now in recent advancement of Artificial intelligence (AI), Machine learning (ML) …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 Read article
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A Comparative Study of Transfer Learning-Based Deep Learning Models for Breast Cancer Detection
Abstract: Breast cancer is a major concern in the world today, and early and accurate diagnosis is most crucial in the case of breast cancer, as it is among the disorders where the total cost of loss of life is high. Traditional screening processes are subjective and vulnerable to inter-observer reliability issues and diagnostic errors, being primarily based on manual interpretation of medical images. To address these limitations, Deep Learning (DL) …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 · pp. 24–34 Read article
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Improving The Accuracy of Medical Diagonosis Detection Using Machine Learning
Abstract: While accurate and timely medical diagnosis is a fundamental aspect of effective health care delivery, traditional methods have not been able to overcome major hurdles such as inefficiencies in data analysis with Gi Human Error as well as limitations in scalability. The “Improved Accuracy of Medical Diagnosis Detection Using Machine Learning” project seamlessly integrates advanced machine learning (M L) technologies with efficient preprocessing and feature selection techniques to outperform all …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 1–8 Read article
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Artificial Intelligence based Point of Care Device in Advanced Medical Diagnostic Techniques
Abstract: Application of Point-of-Care Testing (POCT) at medical sites provides instant diagnostic results that help doctors make quick decisions for patient care. The traditional point-of-care testing equipment faces restrictions because they test single parameters and experience calibration problems in addition to inefficient data management systems. POCT technology benefits from the integration of Artificial Intelligence (AI) which creates a novel system to solve current operational limitations. The presented study introduces an intelligent …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 2, 2025 Read article
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Applicability of Integrating BN and Resilience Engineering on Qualitative to Quantitative Description of Human Error
Abstract: Human activities are predominant part of everyday tasks from design, cAbstract Human activities are predominant part of everyday tasks from design, construction, operation, management, maintenance, system upgrade, medical and social life as well as individual human performance. It is not surprising then to see that a major means of failures are related to human errors. But there is still lack of heeds to qualify as well as quantify such errors. …
Published in Journal of Offshore Structure and Technology · Vol. 3, Issue 2, 2016 · pp. 6–16 Read article
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Skin Disease prediction and classification from dermoscopy images using Neural Network
Abstract: Skin diseases are among the most common health-related problems affecting people of all age groups, and their occurrence often varies with seasonal and environmental conditions. Delayed or incorrect diagnosis of skin disorders can lead to severe complications, making early and accurate detection extremely important for effective treatment and prevention. In recent years, rapid advancements in deep learning and neural network technologies have significantly contributed to the development of automated medical …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 Read article
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AI Robotic System in Medical Field
Abstract: Our idea focuses on implementing a robot equipped with a special Artificial Intelligence Program (AIP) for performing surgery in the medical field and various other medical operations. The special AI program is made of deep neural networks, which is trained for thousands of medical prescription and surgical operations procedures. As the AI program is highly trained program the error rate will be almost negligible as compared to the error rates …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 6, Issue 1, 2017 · pp. 20–26 Read article
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Amalgamation of Medical Image using Wavelet Theory
Abstract: Image fusion has become a common term used within medical diagnostics and treatment. The term is used when multiple patient images are registered and overlaid or merged to provide additional information. Fused images may be created from multiple images from the same imaging modality, or by combining information from multiple modalities, such as magnetic resonance image (MRI), computed tomography (CT) etc. In radiology and radiation these images serve different purposes. …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 2, Issue 1, 2015 · pp. 9–14 Read article
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Heart Disease Evaluation Through Echocardiography Using CNN, ResetNet50, VGG16, and Image Processing
Abstract: Heart conditions stand out as primary contributors to untimely mortality among adults aged 30 and above, notably among those grappling with elevated cholesterol levels and diabetes. Detecting such ailments often necessitates the use of an echocardiogram, providing an intricate portrayal of the heart. However, precise analysis hinges on both the proper functioning of the echocardiogram apparatus and the proficiency of a skilled radiologist, a condition not always met. Manual scrutiny …
Published in International Journal of Information Security Engineering · Vol. 2, Issue 2, 2024 · pp. 25–35 Read article
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Healthcare Management with QR Code Using Blockchain
Abstract: The existing healthcare management system is heavily reliant on paper-based records and centralized databases. This makes it difficult to securely share patient data between healthcare providers, resulting in delays in treatment and potential errors in diagnosis. Furthermore, the current system is prone to cyber-attacks and data breaches, putting patient privacy at risk. The lack of transparency also leads to distrust between patients and healthcare providers. A quick response (QR) code …
Published in Recent Trends in Programming languages · Vol. 10, Issue 2, 2023 · pp. 36–42 Read article
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Intelligent Brain Tumor Diagnosis with AI-Based Classification* * Harnessing Deep and Machine Learning for Tumor Identification
Abstract: Brain tumors have become a leading cause of cancer- related deaths, posing significant health risks to many patients. This urgent medical challenge calls for rapid, automated, and reliable techniques to detect brain tumors accurately. Timely and precise tumor identification is crucial for devising effective medical plans that have the potential to save lives and improve patient outcomes. By leveraging advanced image processing methods, healthcare professionals can enhance their diagnostic capabilities …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 4, Issue 1, 2026 · pp. 51–58 Read article
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AI Activity to Enhance Productivity, Creativity, and Sustainable Development of AI in Healthcare
Abstract: The application of artificial intelligence (AI) in healthcare is revolutionizing the industry by fostering both productivity and creative approaches to patient care and medical research. This study explores how artificial intelligence (AI) is reshaping healthcare by streamlining workflows, improving diagnostic precision, and supporting personalized treatment plans. AI-powered technologies are reshaping the way medical professionals approach patient care, providing tools that not only automate routine administrative and clinical tasks but also …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 1, 2025 · pp. 21–29 Read article
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Design and Implementation of a Polymer-Integrated IoT-Based Smart Intravenous Fluid Monitoring System for Patient Safety
Abstract: The intelligent healthcare systems rely more and more on the advanced materials and Internet of Things (IoT) technologies to improve patient safety, patient-centeredness, timeliness of care, clinical efficiency. This paper presents a polymer-enhanced IoT enabled automatic IV Fluid Level monitoring and notification system. The novel system is based on the use of polymer-encapsulated load-cell sensors and polymer-packaged electronic modules, which allow biocompatibility, long-term stability and easy sterilisation in medical environments. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 730–742 Read article
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Care Sched: Doctor and Patient Appointment Management
Abstract: The medical appointment system is a web application that uses PHP, JavaScript, and CSS to improve the efficiency of booking medical appointments. It features two interfaces: an admin side where patients and doctors manage their appointments and a user side where they may handle an appointment and to view records, and manage their medicines. The web platform that the system makes available provides a convenient online experience from any internet-enabled …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 1, 2025 · pp. 1–12 Read article