Health Worth With Dashboard Metrics A More Spacious Vision – Healthcare Blog

David Shaywitz

Consumers’ health and wellness are undergoing a series of activities.

Laboratory Testing Company Features (motto: “It's time to have your health”) acquired Ezra, an all-round MRI company that promises “the world's most advanced lifespan scan.”

Ourea, the maker of popular smart rings, recently added an integration for continuous glucose measurements and the ability to calculate meal nutrition based on photos. OURA also hired Dr. Ricky Bloomfield as the first chief medical officer; Dr. Bloomfield previously served as head of clinical and health informatics at Apple and is known for his expertise in interoperability of health data.

Meanwhile, the OUA competitor, the maker of smart bands, has just announced the latest version of its device, with the ability to monitor blood pressure, ECG, and evaluate what it describes as a measure of biological age, called “Whoop Age.” Whoop now says it aims to “unlock human performance and health scope” to induce users to “get a complete understanding of your health.”

Going towards a personal health operating system (OS)

Pay attention to the pattern?

The combination of these approaches and many others, as recently observed industry newsletter Fitt Insider (FI), reflects an attempt to produce an “individual health operating system” designed to “provide an institution for the well-being of an individual, and more generally, to regain control of the control system from a health system that is often seen as (especially adults).

FI reports, citing a recent Edelman investigation,

…Nearly half of young people believe that people with a lot of popularity can be as knowledgeable as doctors, two-thirds view life experience as expertise, and 61% view institutions as barriers to care.

fed up Reactive CareMany have collected data in wearable devices, lifestyle applications, DTC diagnosis, etc., but most are isolated. Scroll, the feature is building a unified platform that can generate clinically relevant insights from the original input.

FI points to the proliferation of companies like Bright OS, Gyroscope, and Guava Health focused on “day-to-day data management,” as well as startups like Superpower (“Delivering concierge-level metrics minus the PCP”) and Mito Health (a “pocket-sized AI doctor” that “generates comprehensive digital health profiles by merging labs, medical records, family history, lifestyle info, and more.”)

AI seems ready to play an increasingly important role in many of these companies.

fi guess,

Going further, end-to-end LLM can turn off loops, link causes and effects, turn insights into actions, synchronize with PCP, and The AI-driven medical future.

This is a good time to take a deep breath – a more recent, more critical observation of this vision of consumer-capable, data-enabled healthy.

A powerful vision

There is no doubt that there are many places to embrace, including:

• Individuals have the opportunity to collect more, richer health data from a wide range of sources, including especially wearable devices;
• Increased possibilities Related Insights from these data (a key flaw in early “quantitative self” efforts).
• The clear concentration of health data around you (the superpower tagline is “Health Data, in one place”), a long-standing but often frustrating elusive health care goal. Today, (still!), many patients find themselves having to beg and beg for effective access to their health information, which the health system tends to see as a competitive advantage and is reluctant to let go.

A health approach that supports technology, you have more data about yourself, which are explicitly controlled and can lead to healthier behaviors represent progress worth celebrating.

Meanwhile, when I look at many of these health methods, I see two broad questions.

Followers: Plurals of fragile data may not be insight

First, perhaps more specific concerns, are explanations for comedian Dennis Miller, “two of them [crap] yes [crap]“Just collecting a lot of data, many of which can be fragile, and even if the magical power of AI is called enthusiastically, it may not necessarily translate into excellent insights.

Dr. Eric Topol wrote that in a particularly keen “basic truth” blog post, highlighting “business that promotes longevity and health scope”, he wrote: “Equipping hundreds of biomarker results and imaging tests in individuals greatly increases the likelihood of false positive results”, a possible possibility.

I discuss the challenge of false positives here and introduce some details around Bayesian theorem here. The OG reference of Zak Kohane and colleagues in this space is probably this 2006 paper that introduces the word “encentalome”.

To be fair, at least some of the supporters of extensive testing recognize the challenge of false positives, but believe that over time, important changes can be observed for individuals’ chances of collecting intensive data, which Dr. Peter Atiya explicitly emphasizes abnormal I'm discussing his “risk management” mentality here.

Similarly, Nathan Price, a professor at the Buck Institute and Thorne, believes that a careful examination of abundant personal data (e.g., assisted by AI) can identify opportunities for (e.g., supplementary interventions. These interventions may not differ significantly from population levels (so, Dr. Topol notes in his latest work that there are very few convincing clinical trial data on supplements Super elderly – mine WSJ Reviewed here), but can be done in selected individuals. (I'm still discussing the price here).

Proponents of the “personal health operating system” may also emphasize the existence of tailwinds – as measurement technology continues to get better, data is getting bigger and more powerful, and AI tools are getting bigger. Advocates may argue that maybe we are not reaching the future we imagined, but we are close enough to start seeing what it might be like.

Two concerns: Healthy perspective limitations

A deeper concern about the health patterns we seem to be moving towards is the extent to which it seems to be informed through a strict reductive mindset. In this limited classic management (or consultant) perspective, health becomes an indicator on the dashboard, a series of ever-expanding parameters that must be constantly measured, quantified, and optimized.

A recent beautiful article about our ever-evolving understanding and approach to happiness New York Times Magazine Kwame Anthony Appiah reminds us of what we might be missing.

Apia wrote that at the beginning of the new millennium, we entered

The life-cultivation of the Master Optimization, self-quantification, habit-stacking era of habits, his first book, published in 2007, was “A 4-hour work week” – in his words, “tool kit”, “to maximize hourly output.”

As such, Appiah goes on to say that the concept of prosperity is broken down into a “modular upgrade” because we perfected the “personal operating system.”

Appiah wrote that it is necessary to realize that “happiness is not an issue of optimization” but is more in-depth and substantial.

I reached out for a similar view in 2018, titled “We’re not a dashboard.”

I observed that “the dashboard has become an effective symbol of our time” and I wrote, “The ideology of big data has occupied one’s own lives, assuming a sense of necessity and self-provement.”

I continue: “From the measurement of serving people, we seem to be measuring data services increasingly, building systems and organizations that often always seem to be the purpose.”

I remembered Kate Crawford's favorite phrase AI map collection (mine WSJ Review here): “The burden of tools becomes the horizon of truth”, in which case, even if we are using measurement and analytical tools that implement health data, we must ensure that our understanding of health goes beyond the limitations of these tools.

Of course, the key is not to reject metrics in other ways.

As Professor Jerry Muller and author of The Brilliant Book The tyranny of indicators, Explained: “I can't see a competent expert who can ignore the indicators. The problem is their ability to evaluate the importance of the indicators, and Recognize unmeasured roles. ” ((The focus has been increased).

I also talked about this need in a 2011 work titled “Silicon Valley doesn’t know about medicine,” a novel technology platform that ignores the comprehensive needs of patients or underestimates or fails to illustrate the complexity and confusion of the disease it actually occurs, and is experienced by patients (and those closest to them). ”

go ahead

To most effectively meet the needs of patients – including the crucial goal of preventing or preempting the disease so that people do not become patients – it must be embraced by the power and hope of emerging technologies, including those able to conceptualize “personal health OS” without mistakenly mistaken this map for Alfred korzybski familiarice necribed).

It is crucial to establish priorities with each patient and identify a few key health parameters that are focused on; PhD. David Blumenthal and J. Michael McGinnis considered the theme of “Core Indicators” in 2015 Jama “Opinion.”

At the same time, we must quickly understand the vision of health and wellness, far beyond the limitations of the dashboard, and aspire to recursive optimization beyond the metrics (as I discussed here recently). Our approach must be spacious enough to include, authentic value, and meaningfully foster other components of a healthy, thriving life that may include knowledge attraction, pursuit of goals, and social interactions with family, friends and communities.

(Martin Seligman’s Perma Model – Positive Emotions/Joy, Engagement/Mobility, Relationships/Contacts with Others, Meaning/Purposes and Achievements – Represents a potentially useful framework [see here, here] To expand our thinking. )

While reducing some of the most important and profound health components to easily digestible numbers, we must continue to value and pursue them.

Even as we strive to leverage emerging technologies to build and perfect the health dashboard, we are determined to work towards a broader, durable and meaningful health vision, sterile grammar is the sterile grammar of lines, columns and numbers.

Physician Scientist Dr. Shaywitz is a long-term operator and investor in health technology, Amazing Healthtech, Lecturer Part-time researcher at Harvard Medical School and American Corporate School. This work was originally Timmerman Report