Guy A Dumont
Biographic Data
| ID | 9071678 |
|---|---|
| NAME | Guy A Dumont |
| GIVEN NAMES | Guy A |
| FAMILY NAME | Dumont |
| SIGNATURE | DUMONT G A |
| AFFILIATIONS | University of British Columbia |
| ORCID | 0000-0003-2048-4391 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Effective pandemic policy design through feedback does not need accurate predictions
The COVID-19 pandemic has had an enormous toll on human health and well-being and led to major social and economic disruptions. Public health interventions in response to burgeoning case numbers and hospitalizations have repeatedly bent down the epidemic curve, effectively creating a feedback control system. Worst case scenarios have been avoided in many places through this responsive feedback. We aim to formalize and illustrate how to incorporat…
A roadmap for the implementation of mHealth innovations for image-based diagnostic support in clinical and public-health settings
BACKGROUND: Diagnostic support for clinicians is a domain of application of mHealth technologies with a slow uptake despite promising opportunities, such as image-based clinical support. The absence of a roadmap for the adoption and implementation of these types of applications is a further obstacle. OBJECTIVES: This article provides the groundwork for a roadmap to implement image-based support for clinicians, focusing on how to overcome potentia…
Medical mobile technologies – what is needed for a sustainable and scalable implementation on a global scale
Current advances within medical technology show great potential from a global health perspective. Inexpensive, effective solutions to common problems within diagnostics, medical procedures and access to medical information are emerging within almost all fields of medicine. The innovations can benefit health care both in resource-limited and in resource-rich settings. However, there is a big gap between the proof-of-concept stage and implementatio…
No prominent works on this page.
A roadmap for the implementation of mHealth innovations for image-based diagnostic support in clinical and public-health settings
BACKGROUND: Diagnostic support for clinicians is a domain of application of mHealth technologies with a slow uptake despite promising opportunities, such as image-based clinical support. The absence of a roadmap for the adoption and implementation of these types of applications is a further obstacle. OBJECTIVES: This article provides the groundwork for a roadmap to implement image-based support for clinicians, focusing on how to overcome potentia…
Medical mobile technologies – what is needed for a sustainable and scalable implementation on a global scale
Current advances within medical technology show great potential from a global health perspective. Inexpensive, effective solutions to common problems within diagnostics, medical procedures and access to medical information are emerging within almost all fields of medicine. The innovations can benefit health care both in resource-limited and in resource-rich settings. However, there is a big gap between the proof-of-concept stage and implementatio…
Effective pandemic policy design through feedback does not need accurate predictions
The COVID-19 pandemic has had an enormous toll on human health and well-being and led to major social and economic disruptions. Public health interventions in response to burgeoning case numbers and hospitalizations have repeatedly bent down the epidemic curve, effectively creating a feedback control system. Worst case scenarios have been avoided in many places through this responsive feedback. We aim to formalize and illustrate how to incorporat…
Medicine (3 works) · Computer Science (2 works) · Engineering (2 works) · Mobile Health and mHealth Applications (2 works) · Nursing (2 works) · Psychological intervention (2 works) · Public health (2 works) · Advanced Causal Inference Techniques (1 work) · Artificial Intelligence (1 work) · Big data (1 work)