About this Research Topic
The COVID-19 pandemic has been a catalyst for significant societal change as well as boosting a surge in research and technical innovation aimed at improving health and wellbeing. The momentum for digital transformation is immense, with the technological advancements to date continuing to fuel the possibilities for the next generation of research and innovation.
With the increase in distributed and on-demand health care, the complexities of health care provision increases along with the expectations from the public for truly personalised health care that is tailored to their physical, emotional and mental health in a more holistic manner. Simultaneously, the pressures for health care providers to save time (and money) at the same time as improving the patient experience remains high while struggling to take advantage of the Big Data solutions that may be available to them.
The scientific and healthcare community has excelled at specialisation, which has been reflected in the initial technological advancements in digital health, e.g., assessing the risk of specific medical conditions without considering wider determinants of health (physical, emotional, mental, nutritional, environmental, etc.).
Patients are yearning to be seen as more than a collection of symptoms, through their journey of initial diagnosis, treatment, discharge and after care. This is at the heart of this research topic, capturing both the operational aspects of patient care (e.g. through supply and demand forecasting, discharge prediction and estimating risk of readmissions), and in improving treatment and patient care, both on-premise and home or virtual care.
We invite submissions in the form of original research, empirical research, use cases and review papers that align with one or more of the following themes:
- Holistic approach to health and wellbeing, including both physical and non-physical factors.
- End-to-end patient care (i.e., contextualising the research properly within the whole patient journey)
- Multi-morbidity (i.e., consider multiple health conditions and wider health determinants)
- Person-centric customisation of health care (i.e., considering the life of patients, not just a collection of symptoms)
- Distributed patient care, including home and virtual care / telecare
- Co-creation of health care provision
- SDG 3
- Handling heterogeneous sources of data, including wearable devices
Technical themes include, but are not limited to:
- Large scale data processing and analytics
- Big data insights and visualisation
- Forecasting and prediction
- Simulation and statistical modelling
- IoT and ubiquitous computing
- HCI, accessibility and assistive technologies
With the increase in distributed and on-demand health care, the complexities of health care provision increases along with the expectations from the public for truly personalised health care that is tailored to their physical, emotional and mental health in a more holistic manner. Simultaneously, the pressures for health care providers to save time (and money) at the same time as improving the patient experience remains high while struggling to take advantage of the Big Data solutions that may be available to them.
The scientific and healthcare community has excelled at specialisation, which has been reflected in the initial technological advancements in digital health, e.g., assessing the risk of specific medical conditions without considering wider determinants of health (physical, emotional, mental, nutritional, environmental, etc.).
Patients are yearning to be seen as more than a collection of symptoms, through their journey of initial diagnosis, treatment, discharge and after care. This is at the heart of this research topic, capturing both the operational aspects of patient care (e.g. through supply and demand forecasting, discharge prediction and estimating risk of readmissions), and in improving treatment and patient care, both on-premise and home or virtual care.
We invite submissions in the form of original research, empirical research, use cases and review papers that align with one or more of the following themes:
- Holistic approach to health and wellbeing, including both physical and non-physical factors.
- End-to-end patient care (i.e., contextualising the research properly within the whole patient journey)
- Multi-morbidity (i.e., consider multiple health conditions and wider health determinants)
- Person-centric customisation of health care (i.e., considering the life of patients, not just a collection of symptoms)
- Distributed patient care, including home and virtual care / telecare
- Co-creation of health care provision
- SDG 3
- Handling heterogeneous sources of data, including wearable devices
Technical themes include, but are not limited to:
- Large scale data processing and analytics
- Big data insights and visualisation
- Forecasting and prediction
- Simulation and statistical modelling
- IoT and ubiquitous computing
- HCI, accessibility and assistive technologies
Keywords: Health, Healthcare, Wellbeing, Multi-Morbidity, Person-Centric, Holistic Healthcare, SDG, Big Data, Distributed Systems, Data Analytics, Artificial Intelligence, Data Science, Machine Learning, Deep Learning, Simulation Modelling, Forecasting, Prediction
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
