Yungui Huang
Biographic Data
| ID | 6774104 |
|---|---|
| NAME | Yungui Huang |
| GIVEN NAMES | Yungui |
| FAMILY NAME | Huang |
| SIGNATURE | HUANG Y |
| AFFILIATIONS | Nationwide Children's Hospital |
| ORCID | 0000-0003-3265-9902 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
“Hey Siri, Help Me Take Care of My Child”
Background: About 23% of households in the United States have at least one child who has special healthcare needs. As most care activities occur at home, there is often a disconnect and lack of communication between families, home care nurses, and healthcare providers. Digital health technologies may help bridge this gap. Objective: We conducted a pre-post study with a voice-enabled medical note taking (diary) app (SpeakHealth) in a real world se…
A Machine Learning Approach to Uncovering Hidden Utilization Patterns of Early Childhood Dental Care Among Medicaid-Insured Children
Background: Early childhood dental care ( ECDC ) is a significant public health opportunity since dental caries is largely preventable and a prime target for reducing healthcare expenditures. This study aims to discover underlying patterns in ECDC utilization among Ohio Medicaid-insured children, which have significant implications for public health prevention, innovative service delivery models, and targeted cost-saving interventions. Methods: U…
The Financial Impact of Genetic Diseases in a Pediatric Accountable Care Organization
Background: Previous studies revealed patients with genetic disease have more frequent and longer hospitalizations and therefore higher healthcare costs. To understand the financial impact of genetic disease on a pediatric accountable care organization (ACO), we analyzed medical claims from 2014 provided by Partners for Kids, an ACO in partnership with Nationwide Children’s Hospital (NCH; Columbus, OH, USA). Methods: Study population included ins…
Knowledge capture for self management of long-term conditions
Introduction: Self-management encourages a person with a long-term condition (LTC) to solve problems, take decisions, locate and use resources and take actions to manage their condition
No prominent works on this page.
Knowledge capture for self management of long-term conditions
Introduction: Self-management encourages a person with a long-term condition (LTC) to solve problems, take decisions, locate and use resources and take actions to manage their condition
The Financial Impact of Genetic Diseases in a Pediatric Accountable Care Organization
Background: Previous studies revealed patients with genetic disease have more frequent and longer hospitalizations and therefore higher healthcare costs. To understand the financial impact of genetic disease on a pediatric accountable care organization (ACO), we analyzed medical claims from 2014 provided by Partners for Kids, an ACO in partnership with Nationwide Children’s Hospital (NCH; Columbus, OH, USA). Methods: Study population included ins…
A Machine Learning Approach to Uncovering Hidden Utilization Patterns of Early Childhood Dental Care Among Medicaid-Insured Children
Background: Early childhood dental care ( ECDC ) is a significant public health opportunity since dental caries is largely preventable and a prime target for reducing healthcare expenditures. This study aims to discover underlying patterns in ECDC utilization among Ohio Medicaid-insured children, which have significant implications for public health prevention, innovative service delivery models, and targeted cost-saving interventions. Methods: U…
“Hey Siri, Help Me Take Care of My Child”
Background: About 23% of households in the United States have at least one child who has special healthcare needs. As most care activities occur at home, there is often a disconnect and lack of communication between families, home care nurses, and healthcare providers. Digital health technologies may help bridge this gap. Objective: We conducted a pre-post study with a voice-enabled medical note taking (diary) app (SpeakHealth) in a real world se…
Health care (3 works) · Medicine (3 works) · Environmental health (2 works) · Family medicine (2 works) · Nursing (2 works) · Pediatrics (2 works) · Population (2 works) · Psychology (2 works) · Abstraction (1 work) · Adolescent and Pediatric Healthcare (1 work)