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The insufferable obviousness of AI health summaries

greater by greater
June 30, 2025
Reading Time: 8 mins read
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The insufferable obviousness of AI health summaries


After almost a decade of wearables testing, I’ve amassed a really terrifying quantity of well being and health knowledge. And whereas I take pleasure in poring over my each day knowledge, there’s one half I’ve come to detest: AI summaries.

Over the past two years, a deluge of AI-generated summaries has been sprinkled into each health, wellness, and wearable app. Strava launched a characteristic known as Athlete Intelligence, pitched as AI taking your uncooked exercise knowledge and relaying it to you in “plain English.” Whoop has Whoop Coach, an AI chatbot that offers you a “Each day Outlook” report summarizing the climate, your current exercise and restoration metrics, and exercise strategies. Oura added Oura Advisor, one other chatbot that summarizes knowledge and pulls out long-term developments. Even my mattress greets me with summaries each morning of how its AI helped maintain me asleep each evening.

Every platform’s AI has its nuances, however the typical morning abstract goes a bit like this:

Good morning! You slept 7 hours final evening with a resting coronary heart charge of 60 bpm. That’s consistent with your weekly common, however your barely elevated coronary heart charge suggests you might not be totally recovered. When you really feel drained, attempt going to mattress earlier tonight. Well being is all about steadiness!

That may appear useful, however these summaries are normally positioned subsequent to a chart with the identical knowledge. It’s worse for exercises. Right here’s one which Strava’s Athlete Intelligence generated for a current run:

Intense run with excessive coronary heart charge zones, pushing into anaerobic territory and logging a relative effort nicely above your typical vary.

Thanks? I can ask Athlete Intelligence to “say extra,” but it surely regurgitates my effort, coronary heart charge zone, and tempo metrics I can see in graphs within the exercise abstract. When you didn’t know something about my athletic historical past or the circumstances surrounding this run, this abstract would possibly learn as insightful. Right here’s what the abstract ignored:

It was harmful to triple my mileage in solely my second run of the yr, given the excessive humidity, 85-degree-plus climate, and my spotty exercise historical past over the previous two months in comparison with the six months earlier than it. Strava has entry to climate knowledge and each exercise I’ve performed prior to now 5 years. I needed to minimize this run quick as a result of I fell and shredded my hand and knees. That is data Strava has entry to, as I uploaded a gnarly image along with textual content notes. After including stated notes, the up to date abstract solely mirrored that I minimize the run quick. My harm modified nothing about its insights, despite the fact that it’s a very powerful factor that occurred throughout this run.

I don’t know guys, with out Athlete Intelligence, would I’ve identified my elevation achieve was a modest 88ft?
Screenshot: Strava

A extra useful perception would possibly’ve been: “You ran throughout record-breaking warmth on your area. Whilst you maintained a constant and regular tempo, you’ve gotten a nasty behavior of ramping up mileage too shortly after extended breaks, resulting in a number of self-reported accidents prior to now 5 years. A safer various can be decrease mileage runs over two weeks to acclimate to rising temperatures. Because you’re injured, persist with low-intensity walks till your wounds have healed.”

Runna, a well-liked working app that additionally options AI insights, generated a barely extra helpful abstract. It stated my subsequent run ought to be “straightforward,” one which’s completely timed for me to recharge. I’m sorry, however 48 hours isn’t sufficient time for my knees to soundly heal with out danger of re-opening my wounds.

The in-app chatbots aren’t significantly better. Yesterday morning, I requested Whoop Coach if I ought to run right now as a result of I injured myself on my final run. It advised me: “Whoop is unable to answer to the message you despatched. Please attempt sending a distinct message.” I attempted reframing my immediate, saying, “I’m injured and have a limp. Generate a low-intensity exercise various whereas I recuperate.” I used to be prompted to contact Whoop Membership Providers to proceed the dialog.

Oura Advisor was extra useful, noting in my each day abstract: “Together with your Readiness dipping and up to date stressors like warmth, an harm, and better glucose, your physique might really feel extra fatigued than traditional right now.” It advised I prioritize relaxation. When requested, “What kinds of motion are okay when you’ve gotten an injured knee and a slight limp?” it responded with common sense solutions like a brief and simple stroll if there’s no ache, mild stretching, and a reminder to utterly relaxation if I really feel any sharp discomfort. That is nearer to a super response, however I needed to information it to the kind of reply I wished. The insights are so general-purpose that they profit self-quantification newbies — and even then, provided that they’re allergic to googling.

My botched run is precisely the kind of situation the place tech CEOs say AI insights might be most helpful. In idea, I agree! It could be good to have a reliable, built-in chatbot that I might ask extra nuanced questions.

1/3

I attempted this actual question twice and bought the identical outcome.
Screenshot: Whoop

For instance, I’ve had an irregular sleep schedule this month. I requested Oura Advisor if my sleep and readiness developments confirmed indicators of an elevated danger of harm. I additionally requested if I had abnormally excessive ranges of sleep debt this month. In each circumstances, it stated no — it stated I used to be enhancing.

What resulted was an hour-long debate with a chatbot that left me questioning my very own lived expertise. Once I tried asking it to delve into a very tense week earlier this month, it advised me its insights have been “restricted to [my] most up-to-date week and present developments.” That kind of defeats the purpose of getting six years’ value of Oura knowledge.

After months of perusing Reddit and different group boards, I do know I’m not the one one who finds these AI options to be laughable. And but, Holly Shelton, Oura’s chief product officer, tells me that the response to Oura Advisor has been “overwhelmingly optimistic,” with 60 p.c of customers utilizing it a number of instances every week and 20 p.c utilizing it each day. “Past frequency,” Shelton says, “It’s delivering actual impression: 60 p.c say Advisor has helped them higher perceive metrics or well being ideas they beforehand discovered complicated.”

In the meantime, Strava spokesperson Brian Bell tells me Athlete Intelligence was supposed to assist newbie athletes and that “the response to the characteristic stays robust” with about “80 p.c of these opting in to provide suggestions discovering the characteristic ‘very useful’ to ‘useful.’”

A Whoop spokesperson wasn’t in a position to reply by publication.

These milquetoast summaries? They’re in all probability the most effective compromise between velocity, value, usefulness, knowledge privateness, and authorized legal responsibility

I perceive my frustrations stem from the inherent limitations of LLMs and the messiness of personal well being knowledge. Strava is likely to be a de facto health knowledge hub, but it surely lacks all of the well being knowledge factors essential to create holistic, helpful, and customized insights. It’d take Oura Advisor a very long time to crunch a yr’s value of sleep knowledge for developments. That latency is assured to supply a nasty consumer expertise. To not point out, they’d seemingly need to up their subscription from $5.99 a month so as to add that sort of computing energy. I’m unsure, however Whoop Coach might have declined my injury-related queries to guard itself from legal responsibility if one thing dangerous occurred to me from following its strategies. These milquetoast summaries are in all probability the most effective compromise between velocity, value, usefulness, knowledge privateness, and authorized legal responsibility. But when that’s the case, then let’s be sincere. Present AI options are repackaged knowledge, very like guide reviews written by a fourth-grader counting on a Wikipedia abstract as an alternative of studying the guide. It’s a characteristic tacked on with duct tape and a dream as a result of AI is the zeitgeist. Maybe someday, these AI insights will create a helpful and customized expertise with actionable insights. That day isn’t right now, and it’s not value paying further for.



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