Skip to main content

Axis TA · T — Trust

The tools you trust become the chart you can read.

A wearable that runs out of battery is a missing day in your chart. A scale you don't step on is a missing month. We measure how much of your life is actually instrumented and how much your AI tools help — not as a sales pitch, but as an honest data-quality score.

Symbol
TA
Equation role
T
Signals counted
9+ measured
Update cadence
Daily · auto
01What we measure

Trust — but specifically, the trust your tools earn. Working sensors, working coaching, working integrations.

Eleven signals tracking the quality and breadth of your instrumentation. Patients with sparser data don't get punished — they get a smaller TA contribution, with the rest of the axes filling the gap.

Device telemetry
Wearable wear-time
% of waking hours instrumented.
Device telemetry
Sleep-tracker compliance
% of nights captured.
Device telemetry
Smart scale frequency
Weighings per month.
Device telemetry
BP cuff frequency
Readings per month for hypertensive cohort.
EHR pull
Lab freshness
Days since last full panel; recency penalty after 12 months.
Patient app
AI coaching engagement
Daily plan acknowledged + acted on.
Patient app
Decision-support uptake
Recommendations followed within 7 days.
OAuth connections
Integration count
Wearables, calendars, email — connected and live.
Derived
Data continuity score
Gaps in any signal hurt this; redundancy helps it.
02How we score it

From signals to a single value.

Each signal contributes a weighted partial score. The axis aggregates them and clamps to 0–100. Here's a worked example for a real (anonymized) patient on this axis today:

Sample contribution

Wearable wear-time (94%)+1.6
Sleep tracker (28/30 nights)+1.4
Scale (12 weighings/mo)+0.9
AI coaching engaged (5/wk)+1.0
Lab freshness (4 mo)+0.5
Integrations (5 live)+0.7
TA axis 82.0 / 100

Where it lands in CH

TA contributes T in (T + E)p. It is the only axis we don't recommend trying to maximize — most patients hit a plateau at 70–80 and that's where they should sit. Going past it usually means over-instrumentation.

CH = (S × Sp)C × (T + E)p × (ER × RS)C/3

T — Trust

03A week on this axis

A typical week, on the axis.

No single day defines you. A consistent week does. Here's what consistent looks like — and the HCR you'd earn for it.

MON
AI coaching plan acknowledged
+0.1 HCR
TUE
Wearable wear-time ≥85%
+0.1 HCR
WED
Recommendation acted on
+0.2 HCR
THU
Scale step
+0.05 HCR
FRI
BP reading (if cohort)
+0.1 HCR
SAT
New integration connected
+0.5 HCR
SUN
Weekly chart review
+0.1 HCR
04How patients earn HCR here

The pay ladder.

TA payouts are intentionally small. We don't want patients gaming the score by over-instrumenting — TA exists to ensure data quality, not to be the destination. Always free to receive — patients never pay to earn HCR, and clinics never see a bill for hosting it.

Verified action
Pays
Frequency
Wearable wear-time ≥85%/wk
0.10 HCR
weekly
Sleep tracker ≥6/7 nights
0.10 HCR
weekly
Scale ≥1/wk
0.05 HCR
weekly
AI coaching followed 5/wk
0.20 HCR
weekly
New integration connected
0.50 HCR
12/lifetime
Annual lab refresh
1.00 HCR
yearly
Continuous instrumentation 1yr
5.00 HCR
yearly

All payouts settle to the patient's HCR wallet within 24 hours of verification. HCR is redeemable for care, contributions to a Conceptual Health pharmacy account, or held as a long-term reserve.

05The clinical protocol

For providers ordering on this axis.

For Conceptual Health-credentialed clinicians: this is the recommended order-of-operations on this axis. Free to use, no certification required, no software to install — the protocol lives inside the EHR you already use through us.

Technological Augmentation · clinical sequence

  1. TA is your data-quality dashboard. Open it before trusting any other axis.
  2. A score below 60 means the chart you're looking at has gaps — interpret accordingly.
  3. If the gap is in the wearable, ask why; pricing is rarely the issue (HCR earnings cover most patients).
  4. If labs are stale, order them. Don't guess.
  5. Don't over-prescribe instrumentation. A patient at TA 75 doesn't need a CGM unless their PO axis is calling for it.
06The literature

The peer-reviewed evidence base.

Every signal we score has a literature trail. These are the foundational papers we cite in our scoring model documentation. Our full bibliography (404 references) is available in the methodology appendix.

Wearable adherence in real-world chronic care
JMIR · 2023 · n=4,224
Continuous remote monitoring in heart failure
JAMA · 2021 · k=18 RCTs
AI clinical decision support trials
NEJM · 2024 · meta · k=104 studies
Patient-generated health data quality
JAMIA · 2022 · n=8,712
Digital coaching and lifestyle change
Lancet Digital Health · 2023 · k=58 trials

Read the full methodology paper →

07A patient on this axis

One real (anonymized) trajectory.

Names changed. Numbers verified. A composite from three patients with similar starting conditions — the chart, the intervention, and the outcome.

A

Aisha O., 39, Houston

TA 32 → 78 · "I had no idea what was missing"

"I thought my chart was bad. Turns out my chart was empty. Once I wore the band consistently, weighed weekly, and got labs done, all my other axes started making sense — and the AI started giving me actually-useful advice."

32 → 78
TA axis
94%
Wear-time
5
Live integrations
12 HCR
Earned
08For researchers

What you can study, and how.

TA fields are useful primarily as data-quality covariates. Most studies should treat TA as a confounder rather than an outcome. Research access is available to credentialed institutions through the HCC research portal — pay-per-query, patient revenue-shared.

TA axis · de-identified data fields

All fields below are time-aligned and de-identified to NIST 800-53 standards.

ta.wear.pct.weeklytime series · float
ta.sleep.nights.weeklytime series · int
ta.scale.uses.monthlytime series · int
ta.bp.reads.monthlytime series · int
ta.lab.days_sincetime series · int
ta.coaching.engaged.weeklytime series · int
ta.integrations.livetime series · int
ta.continuity.scoretime series · float
ta.score.weeklytime series · float

Apply for research access →

09Standards we conform to

Standards we conform to.

No new yardsticks. We map every signal on this axis to existing peer-reviewed instruments and regulatory norms — the same instruments your clinician learned in residency.

Standard

IEEE 11073

Personal health device communication standards.

Standard

HL7 FHIR

All wearable data normalized to FHIR observations.

Standard

IEC 62304

Medical device software lifecycle compliance for connected devices.

Standard

GDPR + HIPAA

Integration data flows audited under both regimes.

Standard

OWASP IoT

Connected device security tested against OWASP IoT Top 10.

Track Technological on the only chart that pays you.

Open Guardian Orb, connect your wearables, and watch this axis update daily. Free for patients, free for clinics, free for providers — forever. No subscription, no per-seat fee, no credit card.

The other seven axes

Eight axes. One score. Each pulls.

Health is multi-dimensional. TA is one of eight. The Master Equation weights them, multiplies them, and gives you and your clinician a single number — and the ability to see exactly which axis is moving it.