Webinar: Novel Approaches to Public Health
March 06, 2018
Novel Approaches to Public Health
Wednesday April 4, 2018
12:00 pm - 1:00 pm ET / 9:00 am - 10:00 am PT
Technology is now an integral part of our every day lives, but are we leveraging it effectively in public health? In this webinar, participants will explore innovative approaches to solving public health problems, learn about emerging trends in technology and other innovations to support improved health, and discover resources and information on technology and innovation. You'll leave with a broader understanding of what is possible, and concrete ways to make tech solutions more grounded and connected to public health.
Hosted by Sue Grinnell from PHI's Population Health Innovation Lab, this webinar will feature:
- emocha: Public health department tuberculosis (TB) programs use directly observed therapy (DOT) to help patient’s successfully complete lengthy treatment regimens. Though highly effective in achieving high medication adherence, it is time-consuming, costly, and burdensome for patients and providers. emocha’s asynchronous video DOT platform makes DOT more private, patient-centered, and accessible while achieving comparable rates to in-person DOT. *emocha serves as a helpful complement to in-person DOT for TB programs* and allows for scalability to other diseases where the consequences of not taking every prescribed dose of medication could be dramatic, such as HIV, HCV, and opioid use disorder.
- CareMessage: CareMessage is a nonprofit organization using mobile technology to make underserved populations healthier. Healthcare organizations use the CareMessage patient engagement platform to remind, inform and educate over 1 million patients about primary care appointments, preventive care screenings, and disease self-management.
- Bayes Impact: The lack of adequate access to health care services disproportionately affects underserved communities. Bayes Impact is dedicated to addressing this issue by leveraging the technology and expertise that it has gained during its yearlong partnership with the California Department of Managed Health Care. Bayes Impact has built an open-source, GIS-based web application that measures geographic accessibility of insurance networks and health care services in a streamlined, transparent and user-friendly way. At the heart of our tool, Encompass, is an algorithm we developed, sampling representative population points in an accurate and novel way. Our application uses the wealth of open and public data to build an accurate picture of access to various services for different demographic groups. After working with the California Department of Managed Health Care on its health care network adequacy analysis, the team is interested in exploring potential use cases for Encompass with policy makers, researchers and advocates to help identify gaps in access to care and help design targeted interventions.