
WE BELIEVE IN
BETTER HEALTH
THROUGH BEHAVIOR CHANGE
A Sample of Our Work
We are using behavioral science to re-design electronic health record decision-support tools and testing whether they reduce inappropriate prescribing in older adults
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Redesigned EHR prompts to motivate optimal prescribing
We evaluated whether use of a smartphone application influenced medication adherence and blood pressure control
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Mobile technology for hypertension
We evaluated a remotely-delivered behaviorally-tailored intervention to improve medication adherence in patients with cardiovascular disorders
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Multicomponent intervention for chronic diseases
We used group-based trajectory modeling to classify patients into dynamic patterns of long-term spending
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Longitudinal patterns of healthcare spending
We use epidemiological and machine learning methods to improve our ability to accurately predict future non-adherence
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Electronic health record data to predict medication non-adherence
Center Highlights
Upcoming Events
Recent Publications
Prescribing decision making by medical residents on night shifts: A qualitative study
Lauffenburger JC, Coll MD, Kim E, Robertson T, Oran R, Haff N, Hanken K, Avorn J, Choudhry NK
Med Educ. 2022 May 25
Lauffenburger JC, DiFrancesco MF, Barlev RA, Robertson T, Kim E, Coll MD, Haff N, Fontanet CP, Hanken K, Oran R, Avorn J, Choudhry NK
JMIR Res Protoc. 2022 Apr
A novel modality for real-time measurement of provider happiness
Carlile N, Tantillo S, Brown M, Bates DW, Choudhry NK
JAMIA Open. 2022 Feb 24
Hawley CE, Lauffenburger JC, Paik JM, Wexler DJ, Kim SC, Patorno E
Diabetes Care. 2022 Jan 17
Lauffenburger JC, Ho MP, Nallamothu BK
Circ Cardiovasc Qual Outcomes. 2021 Dec 21
Lauffenburger JC, Yon-Tov E, Keller PA, McDonnell ME, Bessette LG, Fontanet CP, Sears ES, Kim E, Hanken K, Buckley JJ, Barlev RA, Haff N, Choudhry NK
BMJ Open. 2021 Dec 3