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Beyond diabetes, and the record you own

Two things FL work has surfaced: (1) foot care is for far more people than diabetics — including athletes — and (2) the real product is not local storage, it's the owned, portable, longitudinal record. Companion to Foot-Risk-Beyond-Diabetes.md.


Part 1 — Athletes: the performance foot

The at-risk foot has a second, huge, motivated population that has nothing to do with disease: athletes, for whom the foot is the instrument, and a small foot problem is a performance problem.

  • The foot accounts for up to 20% of all sports injuries (varies by sport; highest in

gymnastics, cross-country, soccer, track).

  • Plantar fasciitis hits up to 17.4% of runners and ~15% of all foot injuries.
  • Subungual hematoma ("black toenail," "runner's toe") — repetitive toe-box trauma in

runners, soldiers, and cleated sports; painful enough to stop training.

  • Blisters — the most common, most under-tracked athletic foot injury; friction/moisture

driven, and a gateway to infection if mismanaged.

  • Stress fractures (metatarsal, navicular), turf toe, Achilles tendinopathy,

Morton's neuroma, metatarsalgia — repetitive-load injuries that end seasons.

The athlete's motive is different — protect performance, not prevent amputation — but the loop is identical: photograph the foot regularly, detect change early, catch the hot-spot before it's a blister, the blister before it's an ulcer, the ache before it's a stress fracture. An athlete will do a daily foot check for the same reason they track sleep and macros: marginal gains and staying available. That's a large, self-motivated, non-clinical adoption wedge — and it normalizes the exact behavior the high-risk diabetic patient also needs.

The insensate diabetic foot and the pounded marathoner's foot are the same monitoring problem from opposite ends: one can't feel the damage, the other can't afford it.

Part 2 — The record you own is the product

The AI observation is a feature. The passport is the product. Here's why the durable value is the record, not the storage or the model.

Care is fragmented by design

In a single year the typical Medicare patient sees two primary-care physicians and five specialists across four different practices — with no one provider holding the whole picture. Fragmented records drive medication errors, redundant tests, and delays; patients with 5+ chronic conditions account for >90% of Medicare spending, and fragmentation is a big reason why.

For a foot specifically, you're seen by primary + endocrinologist + podiatrist — each on a thin 15-minute slice, weeks or months apart, each looking at the foot today with no continuous view. Nobody in the system owns the longitudinal foot record. Except you — if you build it.

Everything around the record changes; the record shouldn't

  • Doctors change. You switch practices, your podiatrist retires, your endo moves. Their EMR

does not follow you — it's siloed to their system.

  • Location changes. You move states; the new clinic starts from zero.
  • Your condition changes. Diabetic today, post-surgical next year, an amputee's contralateral

foot after that. The story is only legible if it's continuous.

  • The passport survives all of it. It's yours, portable, plain files, exportable — it outlives

any single provider relationship. That is patient-owned continuity of care, and continuity is associated with lower cost, fewer redundant tests, and more prevention.

Why the baseline

You cannot detect change without a fixed reference. The baseline is the permanent anatomical zero-point — this foot's normal, its scars, its prior surgeries, its landmarks. Every future "appears more red than before" is measured against it. No baseline, no change detection — just disconnected snapshots.

The value-add of the profile

The profile is the why and the context that makes an observation mean something. The same red patch is "expected callus" on a runner and "watch for breakdown" on an insensate diabetic foot. The profile is what lets the system — and the next clinician — interpret a finding instead of just listing it. It also carries the reason you're doing this at all, which is what keeps the habit alive.

Sharing docs turns a 15-minute visit into a high-signal one

Instead of "it looked worse last week," you hand the podiatrist a 90-day timeline — dated photos, tracked observations, a clean exportable record. The visit stops being a cold read and becomes a review of evidence. You walk in with the continuity the fragmented system can't provide, and the specialist's scarce minutes go to judgment, not reconstruction.


What it means for OpenFootLab

  1. Addressable population is enormous and multi-motive — high-risk medical (diabetes, trauma,

neuropathy, PAD, RA) and performance (athletes). Same loop, same passport, different framing.

  1. The moat is the owned longitudinal record, not the model. Models commoditize; a five-year,

patient-owned foot history that survives every doctor and address change does not.

  1. The AI's job is to populate and maintain the record — observe, compare, flag — so the

human effort stays a 30-second daily photo, and the value compounds every day the habit holds.

Software you own, on a box you own, building a record you own — that a clinician can read in minutes when it matters. That's the product. The foot is just where we start.

Sources

  • Epidemiology of Foot Injuries — NCAA 2009–2015 — https://pmc.ncbi.nlm.nih.gov/articles/PMC7017902/
  • Systematic review of systematic reviews on plantar fasciitis — https://pmc.ncbi.nlm.nih.gov/articles/PMC8705263/
  • Epidemiology of ankle and foot overuse injuries in sports — https://pubmed.ncbi.nlm.nih.gov/22846101/
  • Fragmented care risks / continuity of care value — https://www.pinnaclecare.com/blog/fragmented-care-risks/
  • Continuity of care and cost/quality — https://www.elationhealth.com/resources/blogs/how-ehrs-enable-better-continuity-of-care
  • Companion: Foot-Risk-Beyond-Diabetes.md (non-diabetic amputation & insensate-foot epidemiology).

Not medical advice. Prevalence figures cited from the linked literature; they vary by population and method.