The Fund for Public Health in New York City (FPHNYC) is a 501(c)3 non-profit organization that is dedicated to the advancement of the health and well-being of all New Yorkers. To this end, in partnership with the New York City Department of Health and Mental Hygiene (DOHMH), FPHNYC incubates innovative public health initiatives implemented by DOHMH to advance community health throughout the city. It facilitates partnerships, often new and unconventional, between government and the private sector to develop, test, and launch new initiatives. These collaborations speed the execution of demonstration projects, effect expansion of successful pilot programs, and support rapid implementation to meet the public health needs of individuals, families, and communities across New York City.
The New York City Department of Health and Mental Hygiene’s (DOHMH) Bureau of Early Intervention (BEI) is seeking a full-time Data Analyst to help implement and support its EHR-Based Referral Project (EHR-EI) at each individual project location. This project started as a collaboration with Health and Hospitals (H+H) and, with support from Robin Hood Foundation, is expanding to include additional H+H sites as well as sites at 3 other Health Care Systems. The goals of EHR-EI are to facilitate and increase direct referrals to the Early Intervention Program (EI) from pediatric practices, improve family retention during the enrollment and evaluation period, and provide participating providers with timely feedback on the status of children they have referred.
The position will be housed within the Bureau of Early Intervention, a comprehensive interagency program that supports infants and children with developmental delays in their efforts to realize their full potential. The Early Intervention Program assists and empowers families to meet their child's and their own needs and provides eligible children, regardless of race, ethnicity, or income, with services through the program. The Bureau sits in the Division of Family and Child Health.
The Data Analyst will report directly to the Bureau of Early Intervention’s Director of Research and Analysis. The Data Analyst’s primary responsibilities will include developing and running data reports for senior leadership, project staff and partner sites; assisting partner institutions related to building the EHR referral form; designing and carrying out an evaluation of the EHR-based referral process including identifying appropriate comparison groups, gathering comparison data, conducting analyses, and interpreting, writing up and disseminating the results; conducting surveys of project staff, regional office staff, and families to gather feedback about the referral system; drafting data and evaluation-related sections of the project report; and collaborating with the Site Liaison to investigate and trouble-shoot barriers to care. This is a grant-funded position through August 31, 2023.
- Designs, develops and runs reports off both the NYEIS and EI HUB data systems
- Summary reports for project leadership
- Line lists for site monitoring
- Specialized reports to investigate barriers to care
- Participates in the conceptualization and design of the project evaluation including the selection of comparison groups, the data collection mechanisms, the analytic plan, and final products.
- Executes all administrative and technical aspects of the evaluation, including
- Assisting partner institutions related to building the referral form into the EHR.
- Working with partner institutions around data sharing
- IRB, DUA, BAA and other administrative work
- Obtaining access to data for a population-based cohort (e.g., RHIO, Medicaid or All Payors files)
- Data matching and linking of EI data to a population-based cohort
- Address geocoding and mapping
- Development and implementation of surveys
- Creation of analytic files
- Data analysis, interpretation, and visualization
- Report and manuscript development
- Collaborates with the Project Manager and Site Liaison in the development of the project report, taking the lead on the data and evaluation sections.
- Other duties as assigned.