Significance of Digital Health Technologies (DHTs) to manage communicable and non-communicable diseases in Low and Middle-Income Countries (LMICs)
ConclusionThis study provides the knowledge about successful implementation of DHTs in LMICs to control and manage both communicable and non-communicable diseases effectively. (Source: Health and Technology)
Source: Health and Technology - November 16, 2023 Category: Information Technology Source Type: research
FAIR sharing of health data: a systematic review of applicable solutions
ConclusionsAlthough no solution is perfectly adapted to share all type of health data, there are work-arounds and interesting solutions to make health research data FAIR. (Source: Health and Technology)
Source: Health and Technology - November 16, 2023 Category: Information Technology Source Type: research
Direct digital radiography: Exploring applications, misuse, and training needs in medical imaging
ConclusionThe findings highlight the importance of continuous education and training to ensure the optimal use of DDR. There is a need for improved knowledge and skills in areas such as collimation, exposure optimisation, and image processing. Future research and educational initiatives should address these issues to ensure DDR's safe and effective use in clinical practice. (Source: Health and Technology)
Source: Health and Technology - November 15, 2023 Category: Information Technology Source Type: research
Digital twins for breast cancer treatment – an empirical study on stakeholders’ perspectives on potentials and challenges
ConclusionsThe stakeholders unanimously agreed on the potential benefits of digital twins. However, existing systemic and individual stakeholder-level barriers hamper their introduction in breast cancer settings. (Source: Health and Technology)
Source: Health and Technology - November 14, 2023 Category: Information Technology Source Type: research
Physical relief potential through robot-assisted mobilization in nursing care: an exploratory study
ConclusionsThe conducted study suggests that overall the robotic-assistance has the potential of relieving nurses of partial physical exertion during mobilization. However, the different focuses of analysis show varying results in regard to external, i.e. sensor data and expert analysis, compared to internal, i.e. the nurses, perspectives. Going forward, these results have to be further expanded to get more robust analyses and insights on the interdependencies of subjective factors contributing to the experience of workload. In view of the fact that robotics for nursing is still a relatively new field and there are various...
Source: Health and Technology - November 14, 2023 Category: Information Technology Source Type: research
Digital twins for breast cancer treatment – an empirical study on stakeholders’ perspectives on potentials and challenges
ConclusionsThe stakeholders unanimously agreed on the potential benefits of digital twins. However, existing systemic and individual stakeholder-level barriers hamper their introduction in breast cancer settings. (Source: Health and Technology)
Source: Health and Technology - November 14, 2023 Category: Information Technology Source Type: research
Physical relief potential through robot-assisted mobilization in nursing care: an exploratory study
ConclusionsThe conducted study suggests that overall the robotic-assistance has the potential of relieving nurses of partial physical exertion during mobilization. However, the different focuses of analysis show varying results in regard to external, i.e. sensor data and expert analysis, compared to internal, i.e. the nurses, perspectives. Going forward, these results have to be further expanded to get more robust analyses and insights on the interdependencies of subjective factors contributing to the experience of workload. In view of the fact that robotics for nursing is still a relatively new field and there are various...
Source: Health and Technology - November 14, 2023 Category: Information Technology Source Type: research
Internet-of-things based machine learning enabled medical decision support system for prediction of health issues
ConclusionsThis study concludes that the developed MDSS will be very useful in remote areas to assist patient and health practitioners to predict heath status and for quick decision making in case of medical emergencies. (Source: Health and Technology)
Source: Health and Technology - November 12, 2023 Category: Information Technology Source Type: research
Improvement of outpatient service processes: a case study of the university of Hong Kong-Shenzhen hospital
ConclusionsIt was found that service attitude, service value and waiting time have a significant influence on patient satisfaction. (Source: Health and Technology)
Source: Health and Technology - November 10, 2023 Category: Information Technology Source Type: research
Selection of consistent breath biomarkers of abnormal liver function using feature selection: a pilot study
ConclusionOur statistical and machine learning analysis identified significant and potential biomarkers that contribute to the detection of abnormal liver function. These biomarkers were consistent across different physiological states of the body in both patient and healthy groups. The use of breath samples and feature selection machine learning methods proved to be an accurate and reliable approach for identifying these biomarkers. Our findings provide valuable insights for future research in this field and can inform the development of non-invasive and cost-effective diagnostic tests for liver disease. (Source: Health and Technology)
Source: Health and Technology - November 6, 2023 Category: Information Technology Source Type: research
Artificial intelligence for healthcare in Africa: a scientometric analysis
ConclusionOur results suggest that AI for healthcare in Africa is still in its developmental phase with limited published research. Our social network analysis highlighted a South and West African predominance in the research relational network of AI in healthcare. This discrepancy presents an opportunity for coordination and increased collaboration with healthcare institutions advanced in the use of AI within Africa and beyond. (Source: Health and Technology)
Source: Health and Technology - November 6, 2023 Category: Information Technology Source Type: research
Selection of consistent breath biomarkers of abnormal liver function using feature selection: a pilot study
ConclusionOur statistical and machine learning analysis identified significant and potential biomarkers that contribute to the detection of abnormal liver function. These biomarkers were consistent across different physiological states of the body in both patient and healthy groups. The use of breath samples and feature selection machine learning methods proved to be an accurate and reliable approach for identifying these biomarkers. Our findings provide valuable insights for future research in this field and can inform the development of non-invasive and cost-effective diagnostic tests for liver disease. (Source: Health and Technology)
Source: Health and Technology - November 6, 2023 Category: Information Technology Source Type: research
