Essays about: "Patient care"
Showing result 11 - 15 of 638 essays containing the words Patient care.
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11. TELEHEALTH BEYOND DISPARITIES & DIVIDES : Rural care practitioners’ adoption of telehealth: a case study
University essay from Umeå universitet/Institutionen för informatikAbstract : Telehealth in rural and underserved areas are increasing rapidly due to centralization and cutbacks in healthcare. Since many telehealth studies has a patient-centered focus or organizational perspectives, we find a gap in research regarding practitioners' view in the unique contexts of rural areas. READ MORE
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12. Health Data Exchange during Transfer of Multi-morbid Elderly
University essay from KTH/Medicinteknik och hälsosystemAbstract : This project aimed to enhance communication and collaboration among care providers in Stockholm Region and Stockholm Municipality by analyzing health data in various medical record systems and identifying the data that needs to be shared to support elderly individuals with multi-morbidity. Interviews with health experts, caregivers, and policymakers, as well as a literature review, were conducted to gather data. READ MORE
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13. Automated Interpretation of Lung Ultrasound for COVID-19 and Tuberculosis diagnosis
University essay from Lunds universitet/Matematik LTHAbstract : BACKGROUND. Early and accurate detection of infectious respiratory diseases like COVID-19 and tuberculosis (TB) plays a crucial role in effective management and the reduction of preventable mortality. READ MORE
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14. STUDENT-LED STRESS- AND SLEEP-INTERVENTIONS : Longitudinal changes in mental health symptoms for primary care patients
University essay from Umeå universitet/Institutionen för psykologiAbstract : Mental health issues are a growing problem, and vast contributors are stress-related mental health issues and sleep problems. The health care system is struggling to adjust, and to calibrate the right interventions to the right patients at the right time. READ MORE
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15. Finding the QRS Complex in a Sampled ECG Signal Using AI Methods
University essay from KTH/FysikAbstract : This study aimed to explore the application of artificial intelligence (AI) and machine learning (ML) techniques in implementing a QRS detector forambulatory electrocardiography (ECG) monitoring devices. Three ML models, namely long short-term memory (LSTM), convolutional neural network (CNN), and multilayer perceptron (MLP), were compared and evaluated using the MIT-BIH arrhythmia database (MITDB) and the MIT-BIH noise stress test database (NSTDB). READ MORE