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357 articles for “Patient data”
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Centre Stage of Wireless Sensors in Healthcare: Application and Remote Patient Management
Abstract: The efficiency of wireless sensors in healthcare is greatly influenced by technological progress. The capabilities of these devices have been improved by advancements in wireless communication, data analytics, and sensor technologies. Patients may wear more comfortable, smaller, and more precise modern sensors. They have the ability to track many different physiological characteristics, ranging from simple vital signs to more intricate biomarkers. Understanding the massive volumes of data produced by wireless …
Published in Journal of Microcontroller Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 10–16 Read article
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A Community-Based Study to Assess the Impact of Pharmacist Led Home Medication Review in Patients with Diabetes Mellitus in Dakshina Kannada
Abstract: Diabetes mellitus is a chronic metabolic disorder with the condition where there is an abnormally high blood glucose level. Home medication review (HMR) is a patient-centered process that provides the effective and quality use of medication at the patient’s home. According to a study, nearly 50% of Type II diabetes fail to recite adequate glycemic control due to poor management of anti-diabetic medications. So, a community-based interventional study was conducted …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 3, 2024 · pp. 29–34 Read article
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Psychological Profile of Patients Undergoing Hemodialysis and Its Association with Physiological Parameters
Abstract: Background: End-stage renal disease (ESRD) is a chronic, progressive condition requiring maintenance hemodialysis, which imposes substantial physiological, psychological, and social burdens on patients. While physiological indicators are routinely monitored during treatment, the influence of psychological factors on these indicators and patients' quality of life remains inadequately explored, particularly in the Indian context. Objective: To investigate the relationship between psychological variables (depression, anxiety, illness intrusiveness, and quality of life) and physiological …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 16, Issue 2, 2026 Read article
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Understanding Market Research and Marketing Intelligence in Pharmaceutical Marketing: Role played by Medical Affairs
Abstract: Market Research and Marketing Intelligence are crucial components in pharmaceutical marketing, providing insights that drive strategic decisions and competitive advantage. Market research in the pharmaceutical industry involves collecting and analyzing data to understand market demands, patient preferences, and the competitive landscape. Understanding market research and marketing intelligence in pharmaceutical marketing is very important and medical affairs play a key role by serving as a bridge between scientific knowledge and market …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 17, Issue 1, 2026 · pp. 124–129 Read article
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A Study on the Comparative Changes in Nutritional Status in Follow-Up of End Stage Renal Disease Patients
Abstract: Dialysis Disequilibrium Syndrome (DDS) is a rare but serious neurological complication associated with hemodialysis, particularly during the initiation phase or in patients with high metabolic derangements. It is characterized by a range of neurological symptoms resulting from rapid shifts in plasma osmolality, leading to cerebral edema. Despite advancements in dialysis techniques, DDS continues to pose a clinical challenge due to its unpredictable nature and potential for severe outcomes. The present …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 16, Issue 1, 2026 · pp. 9–13 Read article
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A Study on the Incidence and Prevalence of Cardiovascular Morbidity and Mortality in Patients Undergoing Maintenance Hemodialysis
Abstract: Cardiovascular Disease (CVD) is a major complication for patients with end-stage renal disease (ESRD) on Hemodialysis (HD), with the mortality rate from CVD being nearly 20 times higher than in the general population. As Chronic Kidney Disease (CKD) advances, patients accumulate both traditional and kidney-specific cardiovascular risk factors, such as hypertension, diabetes, fluid overload, electrolyte imbalances, and uremic toxins. These factors contribute significantly to the increased cardiovascular morbidity and mortality …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 3, 2024 · pp. 56–66 Read article
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Progression of Health and Wellness: Artificial Intelligence (AI) and Deep Learning (DL) for Precision Medicines
Abstract: Deep learning and artificial intelligence in the field of precision medicine is revolutionizing healthcare to make personalized therapeutic approaches desirable based on the unique characteristics of the patient. AI technologies improve diagnostic accuracy by analyzing medical data, spotting patterns and anomalies that human experts may miss. AI-driven models are instrumental in precision medicine, where they can predict patient response to therapies to tailor treatment plans, enhancing outcomes and reducing adverse …
Published in Emerging Trends in Personalized Medicines · Vol. 2, Issue 2, 2025 · pp. 1–5 Read article
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Exploring Psychotropic Trends of Medication Use in Psychiatric Outpatients: An Observational Study at a Tertiary Care Hospital
Abstract: Background: Psychotropic medications are essential in managing a wide range of psychiatric disorders, including depression, anxiety, bipolar disorder, and schizophrenia. Prescribing habits in outpatient clinics can differ a lot depending on things like the patient’s age, background, and medical conditions. Aim: This study aims to explore the trends in psychotropic medication use among psychiatric outpatients at a tertiary care hospital, with a focus on understanding prescribing patterns, demographic factors, and …
Published in Research and Reviews: A Journal of Toxicology · Vol. 15, Issue 2, 2025 · pp. 15–23 Read article
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Leveraging Artificial Intelligence (AI) and Digitalization of Community Health Screening in Unani Medicine: Bridging Tradition with Technology – A Perspective Review
Abstract: AI and digitalization bring a great opportunity for reforming and even improvement of traditional healthcare systems in Unani physiology. This review, therefore, observes the important role played by AI and digital health solutions in modernizing health screening and diagnostic procedures in Unani medicine, thereby bridging traditional healing practices with contemporary technological advancement. AI refers to the advantages that may accrue via wearable health devices and telemedicine in real-time monitoring, early …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 14, Issue 2, 2025 · pp. 20–31 Read article
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Artificial Intelligence in Early Diagnosis and Personalized Treatment of Alzheimer’s Disease
Abstract: Artificial intelligence (AI) has become a disruptive technology in the medical care industry, with potential solutions to early diagnosis and customized treatment of Alzheimer’s disease (AD), a progressive neurodegenerative disease and the most prevalent cause of dementia globally. Conventional diagnostic techniques, such as cognitive, neuroimaging and biomarker techniques, are usually limited in the ability to detect disease at its most susceptible stage when treatment interventions are most effective. The recent …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 · pp. 15–27 Read article
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Evolving IoT: Based Smart Healthcare Monitoring System
Abstract: The continuous progress in technology has led to remarkable enhancements in various aspects of human life, including healthcare. Within the healthcare sector, practitioners and experts are embracing new technologies to significantly improve the implementation of medical services. The Internet of Things (IoT) has emerged as a crucial foundation for various innovative healthcare technologies, such as heartbeat sensors, ECGs, and blood pressure sensors, each equipped with microcontrollers to read and interpret …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 1, Issue 1, 2023 · pp. 17–27 Read article
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Smart E-Health Consultation Portal
Abstract: The Smart E-Health Consultation Portal is an e-healthcare application that allows access to high-quality, efficient, and accessible medical care services via remote consultation of doctors & patients. Patients can communicate with their healthcare provider through video, voice, or chat communication which eliminates geographic and temporal boundaries. Factors that influence a patient's perception of satisfaction consist of clear and timely responses from their healthcare provider, a guarantee of privacy when using …
Published in Research and Reviews: A Journal of Health Professions · Vol. 16, Issue 1, 2026 Read article
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Data to Diagnosis: A Systematic Review of AI/ML in Healthcare
Abstract: Artificial Intelligence (AI) and Machine Learning (ML) are fast revolutionizing the diagnosis of healthcare by augmenting accuracy, speed, and efficiency. AI/ML technologies facilitate earlier and more accurate disease identification with advanced algorithms for image processing, predictive modelling, and pattern recognition, frequently outperforming conventional diagnostic techniques. This review delves into the key contribution of AI/ML in contemporary healthcare, such as its use in clinical data analysis, imaging reports, and patient histories …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 2, 2025 Read article
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To Study The Drug Utilization Pattern of Drugs Used in Treatment of Thyroid Patients in Tertiary Care Hospital, Bathinda
Abstract: Aim: This study aimed to assess the drug prescription trends for thyroid disorders in a tertiary care setting, with a focus on medication choice, dosage patterns, and patient self-medication behaviour. Methods: A prospective observational study was conducted on 84 patients diagnosed with thyroid disorders. Data were collected regarding the type of disorder, prescribed drugs (dose and frequency), comorbidities, and self-medication practices. Descriptive statistics were applied to identify prescription trends. Results: …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 3, 2025 · pp. 59–66 Read article
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A Comprehensive Review on Federated Learning in Disease Detection
Abstract: Healthcare data, which is frequently dispersed among various organisations, has enormous potential to improve predictive analytics and illness identification. However, there are substantial privacy & legal obstacles to sharing this private data for centralised model training. Federated Learning is a paradigm shift that allows several organisations to work together to build a global model without disclosing raw patient information. Federated Learning uses a larger dataset to provide more reliable insights …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 1, 2026 · pp. 1–21 Read article
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Transfer Learning in Deep Learning Models for Medical Imaging: Utilizing Pretrained Models to Improve Performance in Medical Image Analysis
Abstract: Transfer learning is now a trending technique in deep learning, especially in medical imaging. This technique solves landmark problems by utilizing the pre-trained models, including the limited availability of the annotated medical data and the time-consuming computational costs of training deep learning models from scratch. The generalizability of deep models could increase diagnostic precision for specific medical tasks, require fewer samples to train, and take less time to train due …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 1, 2025 · pp. 67–85 Read article
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Knowledge and Practice of Self-Administration of Insulin Injections among Diabetic Patients
Abstract: High blood glucose levels are a hallmark of diabetes mellitus, a chronic and crippling illness. According to estimates from the World Health Organization (WHO), 530 million persons globally have diabetes. Diabetes management requires education, and educating patients how to administer insulin injections on their own can give them the power to take charge of their health. The purpose of this study was to evaluate diabetic patients who visited the diabetes …
Published in Journal of Nursing Science & Practice · Vol. 15, Issue 3, 2025 · pp. 29–33 Read article
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A Cross-Sectional Study to Find Out the Incidence and Associated Risk Factors of Pressure Injury Acquired in the ICU Unit at Pt. B.D. PGIMS, Rohtak
Abstract: Pressure injuries, also known as pressure ulcers or bedsores, remain a major concern in intensive care units (ICUs) due to their adverse impact on patient outcomes and healthcare quality. This study aimed to assess the incidence and associated risk factors of pressure injuries among patients admitted to the ICU at Pt. B.D. Sharma Post Graduate Institute of Medical Sciences (PGIMS), Rohtak. A descriptive cross-sectional design was adopted, and data were …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 3, Issue 2, 2025 · pp. 7–41 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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Medical Tourism in India: Analyzing Benefits, Risks, and Regional Trends
Abstract: Background: India’s medical tourism industry has emerged as a global hub, generating approximately US$9 billion annually and attracting over 2 million patients seeking cost-effective, high-quality treatments and wellness therapies. Objective: To evaluate the benefits, risks, and regional disparities in medical tourism experiences among patients and providers across five Indian states. Methods: A mixed-methods study was conducted involving 850 international patients and 150 healthcare providers. Quantitative data were gathered through structured …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 · pp. 12–16 Read article