Kelsey Ripp
Biographic Data
| ID | 9462918 |
|---|---|
| NAME | Kelsey Ripp |
| GIVEN NAMES | Kelsey |
| FAMILY NAME | Ripp |
| SIGNATURE | RIPP K |
| AFFILIATIONS | University of Global Health Equity |
| ORCID | 0000-0003-3790-5308 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Integrated point-of-care ultrasound training in a Rwandan medical school
BACKGROUND: Point-of-care ultrasound (POCUS) training has been adopted in some undergraduate medical education programs globally, though it remains uncommon in low-income settings. In 2022, the University of Global Health Equity in Rwanda established an integrated, longitudinal POCUS curriculum spanning preclinical through clinical training, designed to produce general practitioners competent in POCUS examinations most needed in district hospital…
The Medicine for a Changing Planet curriculum
Background: There is a need to more fully integrate Planetary Health and One Health principles into current medical education programs. The Medicine for a Changing Planet (MCP) curriculum is a set of online, freely available, competency-based clinical cases developed by the authors to address this gap. This study was conducted to pilot and evaluate the MCP curriculum using a mixed methods approach. Materials and methods: Residents were invited to…
Detection of acute dengue virus infection, with and without concurrent malaria infection, in a cohort of febrile children in Kenya, 2014–2019, by clinicians or machine learning algorithms
Poor access to diagnostic testing in resource limited settings restricts surveillance for emerging infections, such as dengue virus (DENV), to clinician suspicion, based on history and exam observations alone. We investigated the ability of machine learning to detect DENV based solely on data available at the clinic visit. We extracted symptom and physical exam data from 6,208 pediatric febrile illness visits to Kenyan public health clinics from …
No prominent works on this page.
Detection of acute dengue virus infection, with and without concurrent malaria infection, in a cohort of febrile children in Kenya, 2014–2019, by clinicians or machine learning algorithms
Poor access to diagnostic testing in resource limited settings restricts surveillance for emerging infections, such as dengue virus (DENV), to clinician suspicion, based on history and exam observations alone. We investigated the ability of machine learning to detect DENV based solely on data available at the clinic visit. We extracted symptom and physical exam data from 6,208 pediatric febrile illness visits to Kenyan public health clinics from …
Integrated point-of-care ultrasound training in a Rwandan medical school
BACKGROUND: Point-of-care ultrasound (POCUS) training has been adopted in some undergraduate medical education programs globally, though it remains uncommon in low-income settings. In 2022, the University of Global Health Equity in Rwanda established an integrated, longitudinal POCUS curriculum spanning preclinical through clinical training, designed to produce general practitioners competent in POCUS examinations most needed in district hospital…
The Medicine for a Changing Planet curriculum
Background: There is a need to more fully integrate Planetary Health and One Health principles into current medical education programs. The Medicine for a Changing Planet (MCP) curriculum is a set of online, freely available, competency-based clinical cases developed by the authors to address this gap. This study was conducted to pilot and evaluate the MCP curriculum using a mixed methods approach. Materials and methods: Residents were invited to…
Curriculum (2 works) · Algorithm (1 work) · Artificial Intelligence (1 work) · Cardiac Arrest and Resuscitation (1 work) · Certification (1 work) · Climate Change and Health Impacts (1 work) · Cohort (1 work) · Computer Science (1 work) · Confidence interval (1 work) · COVID-19 epidemiological studies (1 work)