Behavioral Informatics and Technology

Chair: Danielle Arigo, PhD
Co-Chair: Lisa Cadmus-Bertram, PhD

Description/Mission Statement

The Behavioral Informatics and Technology Special Interest Group (BIT SIG), formerly known as the Technology SIG, is designed as a forum for members of the Society of Behavioral Medicine with an interest in the impact of information and communication technology on health behavior outcomes and processes. Our working definition of "behavioral informatics" incorporates the study of the use of these technologies by patients and healthcare providers as well as the design, implementation and evaluation of behavior change interventions delivered through advanced technologies. The goal is to promote the appropriate use of technologies to improve health and health care.

SIG Minutes

Meeting minutes are available as PDF downloads.


2017 Annual Meeting

BIT SIG student poster award winners: Daniel Palac, Jennifer Warnick, and Bradley Kendall.

BIT SIG Trainee Award Winners

BIT SIG Trainee Awardees: Erin Tagai for Significance to the Field of Digital Health and Molly Tanenbaum for Innovation.


#TechSIG Feature – Each week, BIT features a recently published article that is relevant to digital health by promoting it on Twitter (@SBMDigitalHlth)

Have an article to share?

Featured papers must have been published or made available online within the past three months. Tweet your submission to @SBMDigitalHlth or email it to

#TechSIG Featured Papers (full list here)


#TechSIG feature by Buis, @CRichardsonmd et al: consumer #healthinformatics for #hypertension mgmt in #primarycare.

Buis, L. R., Roberson, D. N., Kadri, R., Rockey, N. G., Plegue, M. A., Choe, H. M., & Richardson, C. R. (2017). Utilizing Consumer Health Informatics to Support Management of Hypertension by Clinical Pharmacists in Primary Care: Study Protocol. JMIR research protocols, 6(10).


#TechSIG feature by @BehavioralMed friends @conroylab @aaronpincus & colleagues:  Potential threats to ecological validity when using ecological momentary assessment methods. #mHealth

Ram, N., Brinberg, M., Pincus, A. L., & Conroy, D. E. (2017). The questionable ecological validity of ecological momentary assessment: Considerations for design and analysis. Research in Human Development, 14(3), 253-270.


#TechSIG feature by BIT member @DaniArigo and colleagues: Pilot feasibility study of #HIIT vs. endurance #exercise (+ #Fitbit) for #weightloss among #postmenopausal women.  #Wearables #WomensHealth

Grossman, J. A., Arigo, D., & Bachman, J. L. (2017). Meaningful weight loss in obese postmenopausal women: A pilot study of high-intensity interval training and wearable technology. Menopause (New York, NY).


 #TechSIG feature is back! This week by @behavioralmed associates @drseanmullen @LeeRitterband and colleagues: factorial design to examine features of #mHealth apps for #physicalactivity.

Fanning, J., Roberts, S., Hillman, C. H., Mullen, S. P., Ritterband, L., & McAuley, E. (2017). A smartphone “app”-delivered randomized factorial trial targeting physical activity in adults. Journal of Behavioral Medicine, 1-18.


#TechSIG feature by BIT members @APfam @SpringLabTeam: improving recruitment and retention in an #mHealth clinical trial by responding to population's feedback. #DigitalHealth …

Pfammatter, A. F., Mitsos, A., Wang, S., Hood, S. H., & Spring, B. (2017). Evaluating and improving recruitment and retention in an mHealth clinical trial: an example of iterating methods during a trial. mHealth, 3.


#TechSIG feature by BIT members @drCarterHarris and colleagues: development of an #eHealth decision support tool for #LungCancer screening. #DigitalHealth

Carter-Harris, L., Comer, R. S., Goyal, A., Vode, E. C., Hanna, N., Ceppa, D., & Rawl, S. M. (2017). Development and Usability Testing of a Computer-Tailored Decision Support Tool for Lung Cancer Screening: Study Protocol. JMIR research protocols, 6(11).


#TechSIG feature by BIT members @JessicaYBreland @lmquinti @DrKrisSchneider @DrChristineMay & today's #SBMGrandRounds presenter @DrSherryPagoto: #SocialMedia to Increase Impact of #PublicHealth Research (DM for full text).

Breland, J. Y., Quintiliani, L. M., Schneider, K. L., May, C. N., & Pagoto, S. (2017). Social Media as a Tool to Increase the Impact of Public Health Research. American Journal of Public Health Research,  107, 1890–1891.


Twitter Chat

The BIT SIG held its first Twitter Chat on January 19, 2017. The chat discussed ways to overcome technology challenges in health research.