behavioral science

Grand Rounds April 10, 2026: Impact of Behavioral Science-Based Electronic Health Record Tools on Deprescribing for Older Adults (Julie Lauffenburger, PharmD, PhD)

Posted on by terren.green@duke.edu

Speaker

Julie Lauffenburger, PharmD, PhD
Associate Professor of Medicine
Brigham and Women’s Hospital and Harvard Medical School

Keywords

Adaptive trial design; Behavioral science; Deprescribing; electronic health record; EHR; Inappropriate prescribing; NUDGE-EHR; Overprescribing.

Key Points

  • Older adults are often overprescribed medications or prescribed potentially inappropriate medications like benzodiazepines, non-benzodiazepine sedative hypnotics, or strongly anticholinergic medications with long-term use associated with a 30% increased risk of hospitalizations and falls.
  • Medication management or optimization in older adults is often difficult due to a tendency to maintain the status quo, time constraints, patient preference, or diffusion of responsibility, and existing interventions for medication management are highly resource intensive.
  • Behavioral science techniques employed in the NUDGE-EHR and NUDGE-HER-2 trials may enhance the effectiveness of electronic health record (EHR) tools to alert clinicians to inappropriate medications during patient visits.
  • NUDGE-EHR was a 16 arm two-stage adaptive pragmatic trial among 216 primary care providers and older adult patients conducted from October 2020 to August 2022 examining 14 promising EHR tools using 9 different behavioral principles with deprescribing as a primary outcome.
  • The 2 most promising tools were included in the second 3 parallel arm pragmatic trial, NUDGE-EHR-2, in a different health system from November 2022 to March 2024. EHR tools used pop-up windows to suggest deprescribing. The study provided a set of helpful options to providers including a tapering algorithm, instructions for patients, orders for alternative medications, and referrals to behavioral health providers to make this process faster and easier.
  • Deprescribing increased by 6.5% to 10.4% over usual care. Active discontinuation by primary care providers appeared to drive the results.

Discussion Themes

The adaptive trial design of the first NUDGE-EHR study helped inform the more traditional confirmation trial NUDGE-EHR-2.

The way EHR tools are used varies widely from provider to provider. Tools may be adapted over time so the tool works best for the individual provider.

 

Read more about the NUDGE-EHR study.

 

April 8, 2026: Behavioral Science-Based Electronic Health Record Tools, in This Week’s Rethinking Clinical Trials Grand Rounds

Posted on by Sophia Ramirez

In this Friday’s Rethinking Clinical Trials Grand Rounds, Julie Lauffenburger of Harvard Medical School will present on the “Impact of Behavioral Science-Based Electronic Health Record Tools on Deprescribing for Older Adults.”

The Grand Rounds session will be held on Friday, April 10, 2026, at 1:00 pm eastern.

Lauffenburger is an associate professor of medicine at Brigham and Women’s Hospital and Harvard Medical School.

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Grand Rounds January 9, 2026: Pragmatic Care Embedded Randomization: Insights From the KP-VACCINATE Megatrial (Ankeet S. Bhatt, MD, MBA, ScM)

Posted on by Sophia Ramirez

Speaker

Ankeet S. Bhatt, MD, MBA, ScM
Cardiologist, Kaiser Permanente San Francisco Medical Center
Research Scientist, Kaiser Permanente Northern California Division of Research
Assistant Professor, Kaiser Permanente Bernard J. Tyson School of Medicine
Adjunct Professor, Stanford University School of Medicine

Keywords

Vaccination; Learning Health System; Implementation Science; Nudges; Influenza; Cardiovascular

Key Points

  • Every year, influenza leads to over 500,000 deaths and 3-5 million severe cases globally. It increases the risk of cardiovascular (CV) events like myocardial infarction and heart failure. Though health guidelines strongly recommend annual influenza vaccination, rates remain suboptimal globally and persistent inequities exist. There’s an urgent need for novel, effective, and scalable strategies to improve influenza vaccination rates.
  • The KP-VACCINATE trial is one of the largest ever conducted, randomizing over 3.6 million patients in under 30 days. It included several pragmatic elements, such as coordination with existing vaccine promotion efforts; randomization performed by operational health system teams; and endpoint capture fully embedded in the electronic health record.
  • The study team assessed the effect of a cardiovascular-focused nudge communication on influenza vaccination rates and found that there was no effect. Despite the negative results, the trial establishes that pragmatic and rapid randomization of communication strategies is operationally feasible at scale with routine healthcare workflows in the US.

Discussion Themes

The study team targeted a larger-than-usual population in order to 1) demonstrate the feasibility of randomization within a large-scale health system, and 2) be well-powered for subgroup analyses that could help tailor future interventions.

Dr. Bhatt viewed the negative result as an illustration of the importance of design and context for interventions based in behavioral science, rather than an indication that nudges are ineffective.

Future directions may include involvement of the broader care team, with primary care providers and specialty providers playing a potentially critical role in nudging patients towards vaccine uptake.

Grand Rounds May 30, 2025: Embedding Randomization Into Clinical Care in Learning Healthcare Systems: Insights From the KP-VACCINATE Trial (Ankeet S. Bhatt, MD, MBA, ScM)

Posted on by Sophia Ramirez

Speaker

Ankeet S. Bhatt, MD, MBA, ScM
Cardiologist, Kaiser Permanente San Francisco Medical Center
Research Scientist, Kaiser Permanente Northern California Division of Research
Adjunct Professor, Stanford University School of Medicine

Keywords

Nudges; Behavioral Science; Vaccination; Influenza; Implementation Science

Key Points

  • Implementation science is the scientific study of methods and strategies that facilitate the uptake of evidence-based practice and research into regular use by practitioners and policymakers.
  • While many implementation science interventions have targeted patients and providers, relatively few have been scaled at the system level with the ability to be replicated in other healthcare delivery systems. Dr. Bhatt’s team was interested in using a cyclical framework to address this gap in the evidence.
  • Behavioral science emerged as a promising area for this project. In recent years, the practice of employing nudges – subtle changes in design that can impact human behavior without restricting choice – has gained traction in the tech sector and in the public eye more broadly.
  • Dr. Bhatt’s team had worked with a group of Danish researchers on a sequence of nationwide clinical trials: NUDGE-FLU, NUDGE-FLU-2, and NUDGE-FLU-CHRONIC. These trials improved influenza vaccination rates in Denmark through randomization to different behavioral science-informed messaging strategies.
  • Vaccination rates in the U.S. have been stagnant for many years, and most systems are not reaching the minimum target of 70% compliance. Dr. Bhatt’s team, inspired by the NUDGE trials’ success, launched the Kaiser Permanente VACCination Improvement with Nudge-based CardiovAscular Targeted Engagement (KP-VACCINATE) Trial.
  • KP-VACCINATE is a fully embedded, randomized clinical trial assessing the effectiveness and timing of cardiovascular-focused nudge communication when it comes to vaccine uptake in a diverse U.S. population. It was developed in collaboration with Danish partners from the NUDGE trials and will be one of the largest clinical trials ever completed.
  • At the time of presentation, KP-VACCINATE was an ongoing, a 4-arm, 1:1:1:1 randomized clinical trial. The primary outcome is influenza vaccination rates assessed with 6 co-primary outcomes. Patients in Arm 1 receive nudges at Touchpoints 1 & 2; patients in Arm 2 receive nudges at Touchpoint 1; patients in Arm 3 receive nudges at Touchpoint 2; and patients in Arm 4 receive usual care.
  • This model is embedded in an integrated healthcare delivery system and may be readily transferable to other areas of patient, clinician, and health system engagement. Seamless collaboration between the research and operational teams was paramount for stakeholder engagement, implementation, and subsequent analysis.

Discussion Themes

In the interest of pragmatic systemwide inclusion, inclusion criteria were broad and most exclusion criteria pertained to an inability to receive health care system outreach. They also allowed for local adaptation to a unified protocol.

One barrier to conducting this kind of research is that not all healthcare systems are receptive to A/B randomization. When socializing KP-VACCINATE with operational teams, Dr. Bhatt pointed out that many health systems already conduct this kind of testing, albeit informally. Healthcare operates on incomplete evidence; decisions are made based on an integration of clinician judgement and the data we have on hand. This approach could improve systems’ ability to assess these strategies and integrate them into usual care.

Grand Rounds April 7, 2023: A Nudge Towards Cardiovascular Health: Incorporating Insights From Behavioral Science to Improve Cardiovascular Care Delivery (Srinath Adusumalli, MD, MSHP, MBMI, FACC)

Posted on by Hannah Webster

Speaker

Srinath Adusumalli, MD, MSHP, MBMI, FACC
Adjunct Assistant Professor of Medicine, Perelman School of Medicine
Adjunct Professor of Healthcare Management, The Wharton School
Affiliated Faculty, Center for Health Incentives and Behavioral Economics
Staff Cardiologist, Hospital of the University of Pennsylvania and Philadelphia VAMC University of Pennsylvania
Senior Medical Director, Enterprise

Keywords

Pragmatic trials, cardiovascular medicine, cardiovascular care delivery, behavioral science, electronic health records, implementation science

Key Points

  • A nudge is a subtle change in design that is intended to impact human behavior. They are intended to remind, guide, or motivate a decision, and they should be transparent. Dr. Srinath Adusumalli described a nudge as something that helps make the right choice an easier choice.
  • Nudges and other behavioral interventions are prevalent in industries like business and entertainment, but there is an opportunity for nudges in medicine and health care delivery.
  • Launched in 2016, the Penn Medicine Nudge Unit is the world’s first behavioral design team embedded within a health system. It works to improve health care value and outcomes, advance the science of designing interventions to change behavior and evaluate and disseminate the impact of interventions. The team then worked to incorporate an implementation science lens for designing interventions for scale to the health system.
  • The health behavior is supported by a technology backbone, including the Penn Medicine EHR and other systems that bring insight and nudge within workflows. The context and stakeholder input have been key in developing and implementing nudges.
  • Useful nudge principles are limitations of information provisions, inertia or status quo bias, choice overload, loss aversion or framing, social ranking and the limits of willpower.
  • Implementing the nudge tool within the Penn Medicine revealed several positive impacts, including referral rates increasing significantly via the implementation of a default pathway.
  • The PRESCRIBE trial revealed the value of active choice as well as peer decision-making to prompt decision-making.
  • The randomized controlled trial Effect of Nudges to Clinicians, Patients or Both to Increase Statin Prescribing published in JAMA found that the clinician nudge and the combined nudge interventions significantly increased the proportion patients prescribed a statin compared with usual care but the patient nudge had no impact.
  • Key considerations for developing and implementing a nudge include the right information and guidelines, the right individual to receive the nudge, the right intervention format, the best channel for the nudge and the best time in a provider’s workflow to receive the nudge.
  • Key learnings from the studies highlighted included the need for more transparency as to the reason for a nudge, limiting the number of choices in CDS intervention, passive CDS is often ineffective and it is critical to provide the path for the individual to immediately act.
  • New frontiers in nudging include integrating nudges and behavioral science with applied machine learning, phenotyping patient and clinician behavior to more precisely target single or combination nudges, the simplification and automation of downstream actions, and the alignment of incentive and behaviors across health care actors, including systems and payers.

Discussion Themes

– In the last few years, there has been great reception to the value of behavioral science and implementation science in the field of cardiology. There is opportunity for more evidence to be developed and to implement lessons that have been learned.

– Behavioral science tools, such as these EHR-integrated nudges, must be modified to fit within different settings and EHR systems, but they often provide a strong foundation for other contexts. Customizing existing tools to different systems can save significant time and resources in developing behavioral health tools.

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