HARC Webinars
The use of artificial intelligence in home visiting service delivery
Jon Korfmacher, PhD; Chapin Hall
Kay O’Neill, MSPH; Johns Hopkins Bloomberg School of Public Health
Dec 18, 2025; 1pm ET
Artificial Intelligence (AI) is increasingly incorporated into many aspects of professional and personal lives. With AI, computer applications can reason, learn, act, and provide information in a way that would normally require human intelligence, but typically at a larger scale and much faster than humans can perform. There has, however, been little reported information on the extent to which home visitors may be using AI as part of their work. HARC recently carried out a short survey of its home visiting program members to assess the extent to which AI has (or has not) been used as part of home visitor practice. Join us to learn the results and to participate in a lively discussion about AI use in the field, implications, and the need for training and future study.
Experimentation to guide decisions on how to adapt interventions to person, place, and time
Angela Pfammatter, MS, PhD
University of Tennessee, Knoxville
Jan 13, 2026; 12pm ET
Interventions in practice often need to be changed or adapted due to resource constraints, response to intervention, or other contextual factors. In research, classic randomized controlled trials with 2-3 arms require that an intervention be set a priori such that all adaptations are protocolled, only answering if the total intervention package worked as implemented, leaving open questions as to what aspects of the adaptation could be optimized. More recently, methods such as Sequential Multiple Assignment Randomized Trials and Microrandomized trials allow for experimentally testing such decision criteria during a trial, providing rigorous empirical evidence about how, when, and under what circumstances to adapt an intervention over time. This session will provide a brief primer on such methods and an example of a potential application in the home visiting field.