Patients now arrive with dashboards of their own. The Longevity Data Efficacy Pyramid gives physicians six questions to decide what to act on, watch, and what to set aside.
DL
Dr. David Luu, Founder, longevitydocs™Last updated September 27, 2026 · 6 min read
Hey Doc,
In 2020, I put everything I could on a dashboard: biomarkers, imaging, sleep, activity, recovery. Measuring gave me understanding. It guided interventions and helped me build better habits. Whether it changes outcomes or mortality, I can't say yet. But it made me fall in love with longevity medicine, and with the complexity of human systems biology.
Now patients arrive with dashboards of their own, often explained first by the companies that sell the tests. Our role is not to take the data away. It is to ask what it means, what it changes, and whether acting on it helps.
That is why I created the Longevity Data Efficacy Pyramid: six questions to help physicians and patients decide what to act on, what to watch, and what to set aside.
As always, Happy Sunday.
Dr. David Luu, Founder, longevitydocs.™
Each week, I try to explore one idea that could advance longevity medicine and hopefully support physicians in bringing it to life. For my full perspective, read the full issue on Substack.
A measure can be accurate and still fail to change care.
The Longevity Data Efficacy Pyramid, longevitydocs™.
For years, we said we didn't have enough data for precision medicine. Now we have more than we can interpret.
A patient arrives with a biological-age score, a glucose trace, a full-body MRI report, sleep data, and an AI summary connecting it all. She has invested time, money, and attention. Now she wants to know which number to fix first.
Apps and AI are already interpreting these numbers for her. What a dashboard can't offer is clinical context, accountability, and a plan. That's our part.
Give all data a job
Before you order, read, or repeat a result, finish this sentence with the patient:
"We are measuring this so we can decide whether to…"
The decision might be to diagnose a condition, estimate risk, monitor treatment, support a habit, or stop testing.
Accuracy and value are separate questions. Fryback and Thornbury separated a test's technical performance from its effect on decisions and outcomes. The CDC's ACCE model does the same for genetic tests.
The pyramid
We adapted that logic for longevity care: one measure, one patient, one purpose. For each measure, ask how far the evidence supports using it for this particular purpose. The pyramid evaluates a use, and it works the same way for a lipid panel and an epigenetic clock.
Measure → Signal → Insight → Decision → Benefit → Value
1. Fit-for-purpose measurement. Can we obtain and interpret it consistently here? How was it collected, is it complete and repeatable, and what could distort it? Patient-reported fatigue counts as data. Elicit it carefully and record its context.
2. Valid signal. Does it reflect what we claim it reflects? A reliable measurement can still be a poor indicator of the condition, risk, or physiological state we want to understand. A wearable graph shows that something changed. It takes clinical reasoning to explain why.
3. Clinical insight. Does it add to what we already know? A recovery score may capture variation, but does it tell you more than asking about sleep, illness, training, alcohol, or travel?
4. Decision impact. Does it change a justified plan? Decide in advance what follows a positive, negative, or changing result, and who will review it. A clinical indication needs more than "interesting to know."
5. Patient benefit. Does care guided by this measure improve what matters to the patient? The goal is a patient who feels better, functions better, or lives longer. A biological-age score or HRV reading is a way to get there.
6. Net value. Is using this measure worth its total burden? Consider false alarms, false reassurance, incidental findings, downstream tests, money, privacy, and attention. Then consider what another dashboard might displace: sleep, movement, work, or time with people.
Each question builds on the one before it, and each needs its own answer. A measure can be accurate and still fail to change care.
Then agree on a plan
Reaching a tier does not trigger an intervention. Finish with one of three decisions:
Act. Name the clinical step, the rationale, and the responsible clinician.
Watch. Set a review date, an action threshold, and a reason to continue or stop monitoring.
Set aside. Explain why the result doesn't change care now and what would justify revisiting it.
The Longevity Data Efficacy Pyramid accompanies this issue. Try it this week in clinic: one measure, one patient, one purpose, and a decision at the end.
The Longevity Data Efficacy Pyramid is a proposed educational framework for longevity care, adapted from Fryback and Thornbury's diagnostic-efficacy hierarchy. It is not a validated grading scale, clinical guideline, or substitute for individualized clinical judgment.
Keep reading
Where Can I Find a Longevity Doctor? The longevitydocs™ Directory: licensed, license-verified physicians practicing evidence-informed longevity medicine.
Data is worth acting on when it clears all six questions of the Longevity Data Efficacy Pyramid for one patient and one purpose: fit-for-purpose measurement, valid signal, clinical insight, decision impact, patient benefit and net value. A measure can be accurate and still fail to change care, so each question needs its own answer before a result drives an intervention.
What is the Longevity Data Efficacy Pyramid?
The Longevity Data Efficacy Pyramid is a proposed educational framework from Dr. David Luu and longevitydocs™, adapted from Fryback and Thornbury's diagnostic-efficacy hierarchy. It moves from Measure to Signal, Insight, Decision, Benefit and Value, and evaluates a specific use of a measure rather than the test itself. It is not a validated grading scale or clinical guideline.
How should physicians interpret a patient's wearable or biomarker dashboard?
Start by giving the data a job: finish the sentence "We are measuring this so we can decide whether to…" with the patient. The decision might be to diagnose a condition, estimate risk, monitor treatment, support a habit, or stop testing. A dashboard shows that something changed; clinical reasoning explains why.
Is an accurate test always clinically useful?
No. Accuracy and value are separate questions. Fryback and Thornbury separated a test's technical performance from its effect on decisions and outcomes, and the CDC's ACCE model does the same for genetic tests. A reliable measurement can still be a poor indicator of the condition or risk it claims to reflect, or fail to change a justified plan.
What should happen after a longevity measure is reviewed?
Reaching a tier does not trigger an intervention. Finish with one of three decisions: Act, naming the clinical step, rationale and responsible clinician; Watch, setting a review date, action threshold and reason to continue or stop monitoring; or Set aside, explaining why the result does not change care now and what would justify revisiting it.
What are the hidden costs of more longevity testing?
Net value weighs the total burden of a measure: false alarms, false reassurance, incidental findings, downstream tests, money, privacy and attention. It also asks what another dashboard might displace, such as sleep, movement, work or time with people.
What is longevitydocs™?
longevitydocs™ is the intelligence network for longevity medicine. A vetted network of 1,000+ licensed physicians in 68+ countries, founded in 2023 by pediatric cardiac surgeon Dr. David Luu, that trains, certifies, connects, and conducts research with doctors practicing longevity medicine. The network runs the Lexicon, the Directory, the Masterminds, the annual Summit and the Certified longevitydocs™ (CLD) credential.
How do I apply for longevitydocs™ membership?
Apply on the membership page. Membership is open to licensed MD, DO and MBBS holders, and every application is reviewed manually to confirm credentials.
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About Dr. David Luu, MD.™Dr. David Luu, MD, is the Founder of longevitydocs™. He is a trained pediatric cardiac surgeon, longevity tech entrepreneur, and philanthropist who helps physicians, organizations, and leaders build the global infrastructure of longevity medicine.About longevitydocs™longevitydocs.™ is the intelligence network for longevity medicine. A vetted network of 1,000+ licensed physicians in 68+ countries, founded in 2023 by pediatric cardiac surgeon Dr. David Luu, that trains, certifies, connects, and conducts research with doctors practicing longevity medicine.
Editorial Disclaimer
Published for licensed physicians and qualified healthcare professionals, for professional education and information only. It is not medical advice, clinical guidance, or treatment recommendation for any patient, and it is not intended for consumers, who should consult their own physician.
Therapies, compounds, devices, and protocols are referenced for educational context. Some are investigational, off-label, or not approved by the FDA, EMA, or your local authority. longevitydocs does not endorse or recommend any product, treatment, or company, and nothing here is a solicitation or an attempt to influence prescribing.
By reading, you confirm you are a licensed healthcare professional and will apply this information within your own clinical judgment, professional obligations, and applicable law.
If you are a patient or consumer, this content is not for making health decisions. Please consult your own physician.
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Which Longevity Data Is Worth Acting On?
NEWSLETTER • ISSUE 108
Which Longevity Data Is Worth Acting On?
Patients now arrive with dashboards of their own. The Longevity Data Efficacy Pyramid gives physicians six questions to decide what to act on, watch, and what to set aside.
Hey Doc,
In 2020, I put everything I could on a dashboard: biomarkers, imaging, sleep, activity, recovery. Measuring gave me understanding. It guided interventions and helped me build better habits. Whether it changes outcomes or mortality, I can't say yet. But it made me fall in love with longevity medicine, and with the complexity of human systems biology.
Now patients arrive with dashboards of their own, often explained first by the companies that sell the tests. Our role is not to take the data away. It is to ask what it means, what it changes, and whether acting on it helps.
That is why I created the Longevity Data Efficacy Pyramid: six questions to help physicians and patients decide what to act on, what to watch, and what to set aside.
As always, Happy Sunday.
Dr. David Luu, Founder, longevitydocs.™
Each week, I try to explore one idea that could advance longevity medicine and hopefully support physicians in bringing it to life. For my full perspective, read the full issue on Substack.
A measure can be accurate and still fail to change care.
Dr. David Luu, MD · Founder, longevitydocs™The Longevity Data Efficacy Pyramid
For years, we said we didn't have enough data for precision medicine. Now we have more than we can interpret.
A patient arrives with a biological-age score, a glucose trace, a full-body MRI report, sleep data, and an AI summary connecting it all. She has invested time, money, and attention. Now she wants to know which number to fix first.
Apps and AI are already interpreting these numbers for her. What a dashboard can't offer is clinical context, accountability, and a plan. That's our part.
Give all data a job
Before you order, read, or repeat a result, finish this sentence with the patient:
"We are measuring this so we can decide whether to…"
The decision might be to diagnose a condition, estimate risk, monitor treatment, support a habit, or stop testing.
Accuracy and value are separate questions. Fryback and Thornbury separated a test's technical performance from its effect on decisions and outcomes. The CDC's ACCE model does the same for genetic tests.
The pyramid
We adapted that logic for longevity care: one measure, one patient, one purpose. For each measure, ask how far the evidence supports using it for this particular purpose. The pyramid evaluates a use, and it works the same way for a lipid panel and an epigenetic clock.
Measure → Signal → Insight → Decision → Benefit → Value
1. Fit-for-purpose measurement. Can we obtain and interpret it consistently here? How was it collected, is it complete and repeatable, and what could distort it? Patient-reported fatigue counts as data. Elicit it carefully and record its context.
2. Valid signal. Does it reflect what we claim it reflects? A reliable measurement can still be a poor indicator of the condition, risk, or physiological state we want to understand. A wearable graph shows that something changed. It takes clinical reasoning to explain why.
3. Clinical insight. Does it add to what we already know? A recovery score may capture variation, but does it tell you more than asking about sleep, illness, training, alcohol, or travel?
4. Decision impact. Does it change a justified plan? Decide in advance what follows a positive, negative, or changing result, and who will review it. A clinical indication needs more than "interesting to know."
5. Patient benefit. Does care guided by this measure improve what matters to the patient? The goal is a patient who feels better, functions better, or lives longer. A biological-age score or HRV reading is a way to get there.
6. Net value. Is using this measure worth its total burden? Consider false alarms, false reassurance, incidental findings, downstream tests, money, privacy, and attention. Then consider what another dashboard might displace: sleep, movement, work, or time with people.
Each question builds on the one before it, and each needs its own answer. A measure can be accurate and still fail to change care.
Then agree on a plan
Reaching a tier does not trigger an intervention. Finish with one of three decisions:
Act. Name the clinical step, the rationale, and the responsible clinician.
Watch. Set a review date, an action threshold, and a reason to continue or stop monitoring.
Set aside. Explain why the result doesn't change care now and what would justify revisiting it.
The Longevity Data Efficacy Pyramid accompanies this issue. Try it this week in clinic: one measure, one patient, one purpose, and a decision at the end.
The Longevity Data Efficacy Pyramid is a proposed educational framework for longevity care, adapted from Fryback and Thornbury's diagnostic-efficacy hierarchy. It is not a validated grading scale, clinical guideline, or substitute for individualized clinical judgment.
Keep reading
Where Can I Find a Longevity Doctor?
The longevitydocs™ Directory: licensed, license-verified physicians practicing evidence-informed longevity medicine.
What People Get Wrong About Longevity Medicine
Ten misconceptions, and why translation is the real bottleneck.
The Lexicon: The Living Library of Longevity Medicine
A standardized definition for every concept in the field, with the publications behind it.
Frequently Asked Questions
Which longevity data is worth acting on?
Data is worth acting on when it clears all six questions of the Longevity Data Efficacy Pyramid for one patient and one purpose: fit-for-purpose measurement, valid signal, clinical insight, decision impact, patient benefit and net value. A measure can be accurate and still fail to change care, so each question needs its own answer before a result drives an intervention.
What is the Longevity Data Efficacy Pyramid?
The Longevity Data Efficacy Pyramid is a proposed educational framework from Dr. David Luu and longevitydocs™, adapted from Fryback and Thornbury's diagnostic-efficacy hierarchy. It moves from Measure to Signal, Insight, Decision, Benefit and Value, and evaluates a specific use of a measure rather than the test itself. It is not a validated grading scale or clinical guideline.
How should physicians interpret a patient's wearable or biomarker dashboard?
Start by giving the data a job: finish the sentence "We are measuring this so we can decide whether to…" with the patient. The decision might be to diagnose a condition, estimate risk, monitor treatment, support a habit, or stop testing. A dashboard shows that something changed; clinical reasoning explains why.
Is an accurate test always clinically useful?
No. Accuracy and value are separate questions. Fryback and Thornbury separated a test's technical performance from its effect on decisions and outcomes, and the CDC's ACCE model does the same for genetic tests. A reliable measurement can still be a poor indicator of the condition or risk it claims to reflect, or fail to change a justified plan.
What should happen after a longevity measure is reviewed?
Reaching a tier does not trigger an intervention. Finish with one of three decisions: Act, naming the clinical step, rationale and responsible clinician; Watch, setting a review date, action threshold and reason to continue or stop monitoring; or Set aside, explaining why the result does not change care now and what would justify revisiting it.
What are the hidden costs of more longevity testing?
Net value weighs the total burden of a measure: false alarms, false reassurance, incidental findings, downstream tests, money, privacy and attention. It also asks what another dashboard might displace, such as sleep, movement, work or time with people.
What is longevitydocs™?
longevitydocs™ is the intelligence network for longevity medicine. A vetted network of 1,000+ licensed physicians in 68+ countries, founded in 2023 by pediatric cardiac surgeon Dr. David Luu, that trains, certifies, connects, and conducts research with doctors practicing longevity medicine. The network runs the Lexicon, the Directory, the Masterminds, the annual Summit and the Certified longevitydocs™ (CLD) credential.
How do I apply for longevitydocs™ membership?
Apply on the membership page. Membership is open to licensed MD, DO and MBBS holders, and every application is reviewed manually to confirm credentials.
Published for licensed physicians and qualified healthcare professionals, for professional education and information only. It is not medical advice, clinical guidance, or treatment recommendation for any patient, and it is not intended for consumers, who should consult their own physician.
Therapies, compounds, devices, and protocols are referenced for educational context. Some are investigational, off-label, or not approved by the FDA, EMA, or your local authority. longevitydocs does not endorse or recommend any product, treatment, or company, and nothing here is a solicitation or an attempt to influence prescribing.
By reading, you confirm you are a licensed healthcare professional and will apply this information within your own clinical judgment, professional obligations, and applicable law.
If you are a patient or consumer, this content is not for making health decisions. Please consult your own physician.