Predrag Klasnja, PhD


"Technology has the potential to transform how individuals manage their health. My research explores how to design effective technology-based interventions to help them develop healthy habits and sustain them over the long term."

Predrag Klasnja, PhD

Associate Investigator, Kaiser Permanente Washington Health Research Institute
Assistant Professor of Information, University of Michigan School of Information


Assistant Investigator Predrag Klasnja, PhD, studies how mobile-health, or mHealth, interventions can help individuals develop health-promoting habits and sustain them over the long term. Dr. Klasnja develops and evaluates mHealth tools intended to keep people engaged with their health goals, discover opportunities for healthy behaviors in their daily lives, and reflect on their behavior patterns to identify ways to improve their health without disrupting relationships and routines that matter to them.

A key requirement for achieving these health goals is that mHealth interventions can be optimized—that they are designed to provide the right types of support, at the right times, and in the right contexts to maximize intended benefits while minimizing burden on the individuals who use them. In his recent work, Dr. Klasnja has been collaborating with colleagues at Harvard and University of California San Diego to develop methods for efficient design and optimization of mobile-health technologies.

While health management often happens away from the clinic, it shouldn't happen in isolation from health care providers. Since coming to Kaiser Permanente Washington Health Research Institute, Dr. Klasnja has been investigating how to develop scalable lifestyle interventions that can be integrated with clinical care with minimal burden on the health system.

Dr. Klasnja’s projects span a range of health domains, including heart disease, obesity, physical activity, and substance use. His current projects are examining the use of mobile technology to support lifestyle modification after bariatric surgery, assess contextual factors related to substance use, promote smoking cessation, and support physical activity in patients with hypertension.

Dr. Klasnja is also an assistant professor of information at the University of Michigan School of Information in Ann Arbor.


  • Health Informatics

    mHealth, just-in-time adaptive interventions, methods for intervention optimization

  • Obesity

    Obesity prevention and control; physical activity

  • Chronic Illness Management

    Health behavior change; smoking cessation, cardiovascular disease management

  • Cancer

    Cancer prevention; information management during cancer care

Recent publications

Klasnja P, Rosenberg D, Zhou J, Anau J, Gupta A, Arterburn DA. A quality-improvement optimization pilot of BariFit, a mobile health intervention to promote physical activity after bariatric surgery. Transl Behav Med. 2020 May 18. pii: ibaa040. doi: 10.1093/tbm/ibaa040. [Epub ahead of print]. PubMed

Seewald NJ, Smith SN, Lee AJ, Klasnja P, Murphy SA. Practical considerations for data collection and management in mobile health micro-randomized trials. Stat Biosci. 2019;11(2):355-370. doi: 10.1007/s12561-018-09228-w. Epub 2019 Jan 5. PubMed

Golbus JR, Klasna P, Nallamothu BK. The CHAT trial:time for a heart to heart talk. Circ Cardiovasc Qual Outcomes. 2019 Apr;12(4):e005643. doi: 10.1161/CIRCOUTCOMES.119.005643. PubMed

Liao P, Dempsey W, Sarker H, Hossain SM, Al'absi M, Klasnja P, Murphy S. Just-in-time but not too much: determining treatment timing in mobile health.  Proc ACM Interact Mob Wearable Ubiquitous Technol. 2018 Dec;2(4). pii: 179. doi: 10.1145/3287057. PubMed

Klasnja P, Smith S, Seewald NJ, Lee A, Hall K, Luers B, Hekler EB, Murphy SA. Efficacy of Contextually Tailored Suggestions for Physical Activity: A Micro-randomized Optimization Trial of HeartSteps. LID - 10.1093/abm/kay067 [doi] Ann Behav Med. 2019 May 3;53(6):573-582. doi: 10.1093/abm/kay067. PubMed

Hekler EB, Rivera DE, Martin CA, Phatak SS, Freigoun MT, Korinek E, Klasnja P, Adams MA, Buman MP. Tutorial for using control systems engineering to optimize adaptive mobile health interventions. J Med Internet Res. 2018;20(6):e214. doi: 10.2196/jmir.8622. PubMed

Phatak SS, Freigoun MT, Martin CA, Rivera DE, Korinek EV, Adams MA, Buman MP, Klasnja P, Hekler EB. Modeling individual differences: a case study of the application of system identification for personalizing a physical activity intervention. J Biomed Inform. 2018 Jan 31. pii: S1532-0464(18)30012-1. doi: 10.1016/j.jbi.2018.01.010. [Epub ahead of print]. PubMed

Luers B, Klasnja P, Murphy S. Standardized effect sizes for preventive mobile health interventions in micro-randomized trials. Prev Sci. 2019 Jan;20(1):100-109. doi: 10.1007/s11121-017-0862-5. PubMed

Lewis CC, Klasnja P, Powell BJ, Lyon AR, Tuzzio L, Jones S, Walsh-Bailey C, Weiner B. From classification to causality: advancing understanding of mechanisms of change in implementation science. Front Public Health. 2018 May 7;6:136. doi: 10.3389/fpubh.2018.00136. eCollection 2018. PubMed

Korinek EV, Phatak SS, Martin CA, Freigoun MT, Rivera DE, Adams MA, Klasnja P, Buman MP, Hekler EB. Adaptive step goals and rewards: a longitudinal growth model of daily steps for a smartphone-based walking intervention. J Behav Med. 2017 Sep 16. doi: 10.1007/s10865-017-9878-3. [Epub ahead of print]. PubMed


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