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A colleague recently recommended Mel Robbins' The Let Them Theory. I had just downloaded another of her books, The 5 Second Rule, so I took the recommendation as a sign and started listening yesterday on a run. I'd never listened to Robbins' podcast, but several people I respect are fans, which is usually how I find things worth my attention.

Robbins narrates the audiobook herself. I generally prefer when authors read their own work, and I can't imagine anyone else reading this one. She has a podcaster's charisma and the intensity of a one-on-one mentor. It's a real bonus.

The idea is simple. When you feel the instinct to act, count backward, 5-4-3-2-1, and move before your brain talks you out of it. Counting down, not up, is deliberate, because it's a launch sequence that interrupts hesitation. Robbins came up with it after seeing a rocket launch at a point when she badly needed to break some negative habits. She started with the alarm clock. When it went off, she counted backward and got out of bed instead of hitting snooze.

The rule applies to almost anything we avoid that takes breaking a pattern, effort, vulnerability, or courage. This could be like Mel Robbins’ example of not hitting snooze, saying hello to someone sitting alone, calling someone we don't want to lose touch with, taking a stand. It's simple on purpose. It's easy to remember, easy to teach, and available in the exact moment an intention is about to turn into inaction.

The 5 Second Rule joins a long list of practical behavior change tools: implementation intentions, motivational interviewing, behavioral activation, habit stacking, reminders, coaching, accountability, environmental design. A tool doesn't have to be new to be worth using. Sometimes its whole value is making a hard idea portable.

Healthcare has a history of handing patients tools to help them change. We give them instructions, calendars, pillboxes, exercise programs, glucose monitors, meal plans, portal messages, care plans, and follow-up calls. AI and connected health technology promise to make all of it more responsive. I’m optimistic that AI should help us pick the right intervention, fill in missing information, query records, spot patterns, time reminders, connect clinicians, and stay in touch between visits.

But there’s a problem we haven't fully confronted. We act as if the main obstacle to behavior change is missing information or missing reminders. Explain the risk, hand over the plan, send the reminder, and adherence should follow.

Many patients already understand. They know the diagnosis and the consequences, agree with the plan, want the outcome, and sincerely intend to do what it takes. They set reminders and alarms and timers. And they still don't do it. #non-compliant 🙄

Grief, fatigue, pain, distraction, loneliness, depression, cognitive load, financial stress, and the loss of someone who used to help turn intention into action all open a gap between knowing and doing.

Adherence is hundreds of decisions spread across ordinary days, many of them made when the patient is tired, distracted, grieving, uncomfortable, embarrassed, or alone. The plan can be clear and the motivation sincere, and the next right action still loses to an easier one.

Take a man with insulin-dependent diabetes whose wife has recently died. Throughout their marriage, she planned his meals, checked his blood sugar, noticed patterns, and kept him motivated. She was part of his daily behavioral infrastructure. Without her, he still understands his disease. He knows what to eat, when to check his blood sugar, and why consistency matters. But the person who helped him cross from intention to action, over and over, is gone.

Now take a woman recovering from a lumbar disc derangement. She's making progress with her physical therapist. In the clinic, the plan is clear, she understands the prescribed program is needed to achieve the goals based on her therapist’s prognosis. She's learned to move safely, and the pain is improving.

Day-to-day life still requires her to maintain good posture, minimize sitting, keep up core stabilization and trunk strengthening (possibly indefinitely), lift carefully, manage her weight, and respond sensibly to any recurrent pain. Her long-term recovery comes down to an accumulation of tiny moments: how she bends for the laundry, when she gets up from the computer, whether she does her exercises when she's tired, and which short-term inconveniences she trades to prevent long-term setbacks.

We ask patients to make these decisions as if knowing were enough. Knowing the right thing and doing it consistently, even in the absence of current symptoms, are separate capabilities.

The 5 Second Rule should help people who have the physical and cognitive capacity to act, a clear and achievable next step, some confidence the step will help, and surroundings that don't constantly defeat the plan. It works on ordinary avoidance: getting out of bed, making the call, taking the walk, starting the exercises, picking the meal that matches the goal. It's strongest when the next action is small, concrete, and right there. Count down. Stand up. Put on the shoes. Take the medication. Don’t hit snooze.

A countdown interrupts hesitation and leaves the conditions that make action hard exactly where they were. It can't lower the price of a medication, put affordable food in a neighborhood that lacks it, treat depression or severe pain, fix unsafe housing, provide a ride, or replace a lost caregiver. A parent whose children take every spare minute gets nothing from it, and neither does a patient who has stopped trusting the healthcare relationship. An impossible plan stays impossible.

Healthcare is quick to call a missed action noncompliance. Sometimes the patient didn't need another reminder. Sometimes the plan was unrealistic, and the patient needed help changing the environment around the behavior.

A less vocalized job of a clinician is to understand a patient's life well enough to see what makes the action possible or impossible: to tell unwillingness from inability, ambivalence from exhaustion, and forgetfulness from an unrealistic plan.

Clinicians can shrink the action until it's achievable and ask what happens at the moment the plan breaks down. They can find out who or what used to provide support, then help build new cues, routines, relationships, and accountability. And they should recognize when a patient needs grief support, behavioral health care, social services, pain management, or a different treatment plan, and get them to it.

The countdown fits inside that relationship. A clinician could teach it as one strategy: when the next right action is clear, count backward and start before hesitation wins. Then the clinician has to confirm the next action is clear, safe, affordable, and within reach.

AI is a tool. It reduces knowledge asymmetry, makes records easier to query, pulls up relevant history, finds patterns over time, coordinates clinicians, personalizes education, and keeps contact going between visits. It should be able to recognize that a patient repeatedly misses an action under certain conditions and suggest a different approach.

Hear me out on the more ambitious version. AI could show us the gap between knowing and doing at much finer resolution, identifying when, where, and why a plan breaks down. Was the reminder mistimed, or the instruction too complicated? Pain might have made the task unrealistic. A medication, a ride, a mood, or a caregiver might have changed. Maybe the plan depended on a person who's no longer there.

That would give clinicians a better question. "Why didn't you adhere?" becomes this:

AI has limits here. It can tell us what to do and when, generate a plan, send a prompt, flag a pattern, and I’ll bet will get remarkably good at predicting which intervention will work. But can it make us do the thing?

Sometimes. A well-timed cue is powerful. One small action builds momentum, acting once makes acting again easier, and repeated action becomes habit, which lowers the motivation level that each next step requires. In other moments the obstacle is suffering, loss, fear, pain, missing support, or a life with no room for one more demand. Asking a patient to count down in those moments falls short.

The opportunity for healthcare and health tech is building systems that know when a lightweight nudge will do and when a patient needs something deeper. As AI takes on more of the information, reminders, and recommendations, I expect the clinician's value to move further toward interpretation, relationships, judgment, and support. They will need to be involved in deciding whether the plan fits the patient's life, and what kind of help is needed when it doesn't.

Healthcare's future depends on AI producing the right recommendation and on our systems helping people act on it in the ordinary moments when acting is hard. The 5 Second Rule is a good starting point because it's so simple. Action often starts before motivation feels complete. It should also remind us not to confuse a simple tool with a simple problem.

Can we help patients cross the space between knowing and doing? And are we humble enough to recognize when that space needs a person, a redesigned environment, a different plan, or more support than a countdown provides?

Let’s look at the structural conditions that make healthy choices possible in the first place.

We talk about behavior change as a matter of individual discipline. The capacity to make a good choice is shaped long before the moment of choosing. Money, time, sleep, safety, transportation, and emotional bandwidth all count. So does whether healthy food is affordable and nearby, the medication is covered, the neighborhood is safe to walk, the work schedule allows an appointment, and childcare or eldercare leaves any attention to spare.

Relationships shape it, too. For many people, they can more reliably sustain hard, long-term changes when someone notices, teaches, cooks, comes along, checks in, or makes the effort feel shared. Isolation removes part of the infrastructure that turns intention into repeated action.

The design of healthcare matters, too. How easy care is to reach, whether clinicians have time to understand context, whether specialists coordinate with the care team, whether patients are treated with dignity, and whether a missed action gets curiosity or blame all play a role. A fragmented, expensive, confusing system produces failure even in the most informed, motivated people.

Then there's the economy and the policy environment. When the structure of a system reward volume, quick-fixes, ultra-processed food, financial extraction, or short-term engagement, individuals are working against forces that are organized and persistent. A personal intention losing to a system optimized for something else shouldn't surprise anyone.

So what gives a person what it takes to make, and keep making, the good choice? To act instead of hesitate? Willpower is part of it, yes. So are adequate resources, manageable demands, a sense of agency, practical skills, people they trust, surroundings that reduce friction, and institutions that stop undermining the behavior they say they want.

The big opportunity for AI is using it to show the conditions around a behavior. Alongside "Did the patient follow the plan?" it should help us ask "What would have made following the plan easier?" and then connect that answer to changes in care, policy, community, workplace design, and how support gets distributed, for example.

The countdown can help someone take the next step. But we need to ask “Did we build the right path?”

*Disclaimer: All opinions and ideas expressed in this article are solely mine and none represent a recommendation or should be viewed as advisement of any kind to anyone to do anything.*