The COVID-19 pandemic marks one of the greatest global challenges experienced this century. It has led to more than 20 million reported infections and caused more than 800 000 deaths world-wide. Despite attempts at lifting restrictions for lock-downs and seeking ways “back” to a “new normal”, we are far from a stable transition to a new normal life.
Digital Health solutions have already been used in many ways from tracking and tracing apps to deep learning for analysis of computerized tomography images or audio-based diagnosis and early symptom recognition. However, there are many technologies and innovations that remain unexploited with vast potential in improving the reliability, trustability, usability, and explainability of healthcare services: including the speed and quality of diagnosis, healthcare process and results. In addition, novel technology solutions and innovations to adapt processes and technologies are desperately needed. Further, there is a need for new regulatory pathways and processes for rapid testing, approval and integration of these new technologies into practice.
Many opportunities for the development and application of health technologies and digital health exist in the global fight against Coronavirus that concerns all of us.
In this light, this Research Topic aims to explore new approaches and scientific developments that enable and accelerate the adoption and diffusion of health technology innovations in health systems to improve the fight against the COVID-19 pandemic. The collection will bring together novel technologies, innovations and approaches, including studies and cases from a highly interdisciplinary point of view to harness strengths and perspectives of diverse experts. Topic of interest include but are not limited to:
1. Digital data
- Real time data capture
- Data sharing
- Data analytics, including AI and machine learning
- Imaging analysis and sharing
- New algorithms for Risk Stratification for COVID-19
- Algorithms and tools for early diagnosis
- Resource management and optimization
2. E-health/M-health
- Case detection, tracking and tracing, including the ethics of use of data
- Remote learning for healthcare workers
- Remote patient care
3. New production methods for rapid and flexible manufacturing at scale for:
- Personal protective equipment
- Intensive care equipment - e.g. ventilators
- Diagnostic tests
4. Digital health care
- Novel care pathways for consistent care processes and quality control
- Patient monitoring
- Clinical trials
- Imaging techniques and analysis
- Surgical management and care
***Given the exceptional nature of the COVID-19 situation, Frontiers is waiving all article publishing charges for COVID-19-related research in this Research Topic. Please note that manuscripts must be submitted by the manuscript deadline on December 31st.***
The COVID-19 pandemic marks one of the greatest global challenges experienced this century. It has led to more than 20 million reported infections and caused more than 800 000 deaths world-wide. Despite attempts at lifting restrictions for lock-downs and seeking ways “back” to a “new normal”, we are far from a stable transition to a new normal life.
Digital Health solutions have already been used in many ways from tracking and tracing apps to deep learning for analysis of computerized tomography images or audio-based diagnosis and early symptom recognition. However, there are many technologies and innovations that remain unexploited with vast potential in improving the reliability, trustability, usability, and explainability of healthcare services: including the speed and quality of diagnosis, healthcare process and results. In addition, novel technology solutions and innovations to adapt processes and technologies are desperately needed. Further, there is a need for new regulatory pathways and processes for rapid testing, approval and integration of these new technologies into practice.
Many opportunities for the development and application of health technologies and digital health exist in the global fight against Coronavirus that concerns all of us.
In this light, this Research Topic aims to explore new approaches and scientific developments that enable and accelerate the adoption and diffusion of health technology innovations in health systems to improve the fight against the COVID-19 pandemic. The collection will bring together novel technologies, innovations and approaches, including studies and cases from a highly interdisciplinary point of view to harness strengths and perspectives of diverse experts. Topic of interest include but are not limited to:
1. Digital data
- Real time data capture
- Data sharing
- Data analytics, including AI and machine learning
- Imaging analysis and sharing
- New algorithms for Risk Stratification for COVID-19
- Algorithms and tools for early diagnosis
- Resource management and optimization
2. E-health/M-health
- Case detection, tracking and tracing, including the ethics of use of data
- Remote learning for healthcare workers
- Remote patient care
3. New production methods for rapid and flexible manufacturing at scale for:
- Personal protective equipment
- Intensive care equipment - e.g. ventilators
- Diagnostic tests
4. Digital health care
- Novel care pathways for consistent care processes and quality control
- Patient monitoring
- Clinical trials
- Imaging techniques and analysis
- Surgical management and care
***Given the exceptional nature of the COVID-19 situation, Frontiers is waiving all article publishing charges for COVID-19-related research in this Research Topic. Please note that manuscripts must be submitted by the manuscript deadline on December 31st.***
