Your EMR ends at the visit. Healthspan medicine doesn't.
Pathmarker is what runs between appointments — the app your members use, the record everything lands in, the handover to their coach, and AI that drafts but never decides. Built so members feel looked after all year, and renew because of it.
See what it actually does.
A walk through the member app and the screens your clinical team uses.
Proactive care is won between visits.
Your software was built for the visit itself.
Longevity care runs on visits every few months — and those months are where people slip off their plan, wearables go unread, education stalls, and the patient quietly stops feeling looked after. The EMR you bought was designed to capture the appointment, not the year around it.
And those months change what members do. Patients tighten up right before an appointment and drift once it is behind them — it is well enough documented to have a name, white-coat adherence. One study put an electronic monitor in the pill bottle and watched it happen.
Doses taken as prescribed, as the appointment approaches. The member is getting ready to be seen.
It holds for a while. The conversation is fresh and the plan still feels live.
A third of doses missed — and nothing in the chart records it.
So it is not only that you lose sight of the months between visits. The labs and readings you review at the visit were taken during the best week of them.1
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i.Wearable data lives in apps the member owns and the clinic never sees.Oura, Whoop, Garmin — three trends a clinician should be reviewing, none on the chart.
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ii.Lab review consumes hours of clinician time per week.Manual chart synthesis, copy-pasted between PDF, EHR notes, and the patient email.
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iii.Coaches, ops staff, and physicians all see the same chart — or fight over consent.Either you share too much patient information, or you tie your team's hands.
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iv.PHIPA / PIPEDA / PIPA compliance debt grows with every tool you bolt on.Data Processing Agreements (DPAs), audit trails, and consent live in five places — or none. Your privacy review gets harder every quarter.
A clinic members feel tracked by
is a clinic members renew with.
is what ten renewals are worth to a 200-member clinic at a $10K average annual fee. Hold on to ten members you'd otherwise have lost, and that's the money back in your practice — and you're not spending to replace them just to stand still. Illustrative math on a reference clinic; your practice, your numbers.
Two forces decide the economics of a proactive practice — whether members renew, and what it costs your team to keep them. The research speaks to both, and both come back to the same thing: continuity. Patients staying with the same care team over time, instead of being passed between people.
The science shows continuity changes outcomes. Our bet: make members feel it every week — not just at the next appointment — and they stay.
Tracking alone doesn't change outcomes.
Oversight alone doesn't either.
Research on chronic-condition self-management is consistent on this point: self-monitoring works when it's paired with a goal the patient helped set, and feedback that's structured and ongoing — not sporadic. Most software gives you one half of that.
Self-tracking, unseen
Consumer trackers — Whoop, MyFitnessPal, Function Health — hand the member data with no practitioner in the loop. The number moves. Nothing about the plan does.
Oversight, invisible
Practice-management and EMR tools give the practitioner a chart with no real-time view into what the member is actually doing between visits. The plan is sound. The member can't see themselves in it.
Pathmarker is the layer where both run against the same evidence — collaborative because the practitioner sets the goal and the member sees their own progress toward it, proactive because what happens between visits feeds directly into what the practitioner does next.
Across 25 randomized trials, self-monitoring paired with structured support and feedback lowered systolic blood pressure by ~6 mmHg. Monitoring on its own showed no significant effect.
That ~6 mmHg result is specific to blood pressure. Pathmarker applies the same closed loop — the member tracks, the practice responds, the number moves — as its operating principle, not as a promise of the same effect for every metric.
One platform for the patient, the clinical team, and the science behind both.
That bridge is what the three pillars below build.
Continuity members feel.
A portal members actually open — labs trended, wearables synced, daily log alive, education tracks evolving with their program. The clinic that shows up between visits is the clinic they renew with.
A record the EMR can't keep.
One record holding labs, wearables, daily logs, symptoms and visits together. AI-drafted lab interpretations and SOAP notes hang off it. Critical values bypass the queue. Your clinicians stop synthesizing by hand.
AI and consent you can defend.
AI drafts. Clinicians decide. Consent is enforced by the database itself, not by the screens. Audit log on every PHI access. PIA-ready, Canadian-domiciled.
What continuity looks like between visits.
That claim rests on four things the member actually uses — not a tab buried in a chart. Each runs between visits and feeds the same record.
Courses and articles that build up over time
Properly produced video lessons, grouped into courses — Metabolic optimization, Sleep architecture, Cardiovascular healthspan — auto-assigned at enrollment and evolving as the program does. Block-based articles your clinic authors and versions. Members pin notes, save AI chats, build a personal reference over months. Progress is visible to the care team — coaching gets sharper.
Dynamic meal planner with infinite AI-generated recipes
The meal planner reads the member's program (metabolic, autoimmune, longevity-cardio) and the practitioner's dietary guidelines — then plans the week with portion sizes and a shopping list. AI generates infinite new recipes within strict program guardrails: every recipe carries detailed nutritional info — macros, micros, glycemic load — that flows back into the chart, so you can see whether they are keeping up.
Daily log + habit tracker, beautifully visualized
One screen for habits, symptoms, medications, sleep, mood and activity, day by day. Push reminders, gentle streaks, no shame mechanics. The charts are the point: they line habits up against measured results — HRV, sleep quality, biomarker movement — so members can see what's actually moving the needle for them, not just track for the sake of tracking.
Community portal, opt-in by design
Member-to-member conversation when the member chooses it — never on by default, never required. Useful when a group starts a program together and for the long tail of "I tried this, here's what happened" peer support. Same clinic-branded shell. Practitioners can moderate but are never required to be present.
All four follow the same consent rules as the rest of the platform — the coach sees habit + wearable + shared notes, the clinician sees everything, the member sees their own data. Consent is enforced at the data layer, not in the UI.
Care that shows up between visits is the care members renew on.
One lab PDF.
Four steps.
No copy-paste.
What used to take a clinician's evening now happens between visits, before the next one.
Patient uploads
Drag-and-drop PDF from any major lab provider — LabCorp, Quest, LifeLabs, Dynacare. Stored in your clinic's own space. The audit trail starts here.
Auto-parse + trend
Biomarker names, values, reference ranges extracted to your database. Trended automatically against the patient's prior panels. Optimal / watch / attention bands.
AI drafts an interpretation
Chart context to Anthropic Claude on AWS Bedrock — minimized and secret-scrubbed, carried as PHI under our AWS business associate agreement. Structured JSON back: trend commentary, watch flags, suggested follow-ups. Critical values bypass the queue.
Clinician signs off
You review, edit, publish. The patient sees the AI summary and your final interpretation. Nothing reaches the patient until you decide.
The same shape applies to wearable streams, member messages, and visit transcripts. The same pattern every time, and one place the clinical record lives.
Your AI scribe drafts a note.
Ours drafts it against the whole chart.
A stand-alone scribe transcribes one conversation. Pathmarker's AI drafts against the same record it uses everywhere else — labs, wearables, daily log, every prior visit note — so what lands on the sign-off queue already knows what changed since last time.
Drafts against the whole chart, not just today's call
The SOAP draft isn't written from a blank page — it's written with labs, medications, and prior notes already in view, so it can flag what a stand-alone scribe can't: a new prescription that contradicts an existing one, a symptom that maps to a lab trend from three months ago.
One summary, not a transcript pile
Ask for a member's chart summary and get the whole record pulled together in seconds — not a folder of separate visit transcripts your clinician has to read end to end to piece together.
It cites its sources, or it says nothing
Every AI answer — in the draft, in the summary, in response to a clinical question — is grounded in real medical literature and cites its source. If it can't find grounding, it says so.
The chart doesn't reset between visits. Neither does the AI reading it.
AI that drafts. Clinicians who decide.
The hard rules are coded into the platform — not posted on the wall. The difference between AI you can defend in a clinical-board meeting and AI you have to apologize for.
The AI never tells a member what their results mean.
AI explains and educates. It does not classify, score, dose, or interpret results to the patient. Everywhere a member can see, it refuses to give clinical advice and points them to the clinician.
AI drafts; clinicians sign off.
Lab interpretations, SOAP notes, message replies — every AI output is a draft. Nothing publishes, nothing sends, until a clinician reviews and signs.
Consent is a hard boundary in code.
The consent form names the three access scopes — clinical team, coach, service ops — by role. The platform enforces them in the database itself, not in the screens.
PHI minimized at the prompt layer.
Prompts carry only the fields that feature needs, and secrets — tokens, emails, record IDs — are scrubbed before the call. That keeps it to a minimum, but it does not make it anonymous: clinical text reaches Anthropic Claude on AWS Bedrock as PHI, under our business associate agreement. No training on your data.
Critical thresholds as source-of-truth.
The threshold list lives in version-controlled code, PR-reviewed by your practice lead — not buried in EHR settings. Every bypass is audit-logged.
A platform that walks into your
privacy review and walks out clean.
Built in Canada, for Canadian proactive care clinics. Patient data rests in Canada (Montréal), and no PHI is persisted outside it. One call leaves — stateless AI inference, which carries PHI under our AWS business associate agreement and returns nothing to disk outside Canada. We put that in front of your privacy officer rather than bury it. PIA-ready on day one.
inference routed
to US regions
Canadian STT
roadmap
Native Canadian video
roadmap
- ✓PHIPA, PIPEDA & PIPA aligned.Consent, collection limitation, accuracy, safeguards, openness, individual access — mapped feature-by-feature.
- ✓PIA-ready onboarding.Data-flow maps, vendor list, consent-form templates, retention schedule — handed over before go-live.
- ✓Data Processing Agreement.Standard DPA + sub-processor list. Your space. Your data. Cleanly portable. No training on your patients.
- ✓Audit log on every PHI access.Who, what, when — for every read of a patient record, every AI inference, every consent change. Exportable on demand.
- ✓Consent in code.Three scopes — clinical team, coach, service ops — enforced at the data layer. The consent form and the access control are the same thing.
- ✓Right-to-export, right-to-erasure.Full export in standard formats on demand. Erasure workflow respects clinical-record retention obligations.
- ✓Breach response runbook.72-hour notification SLA to your privacy officer. Incident playbook reviewed annually.
Built for the medicine the existing software can't run.
Bryan founded Pathmarker after twenty-five years in cybersecurity, including protecting the health authorities of BC, Canada — a long career spent on the architecture, network, and strategy side of protecting clinical data.
Bryan's wife — Dr. Mary Pines — has spent the past eight years building and running her own longevity practice, Better Beyond 40. Working alongside Mary's longevity practice, he watched her — and the broader Canadian longevity field — try to deliver proactive, continuous care using software built for something else. Tools designed for fifteen-minute acute appointments, retrofitted for the most relationship-intensive medicine in the industry. Member portals that felt like patient billing systems. Practitioner consoles stitched together from a lab vendor, a wearable dashboard, a separate scribe, a separate scheduler, and a Google Doc for the actual care plan.
The longevity members Mary serves expect a different kind of relationship with their care — high-touch, continuous, evidence-grounded — and they pay for it. The software they were being asked to use didn't match what they were being asked to invest in. Bryan built Pathmarker to close that gap.
His healthcare background shaped Pathmarker's compliance-first architecture: Canadian data residency by design, consent boundaries enforced at the code level, and the discipline to build healthcare software the way healthcare data demands.
The member's data stops living in a dozen places.
A longevity member's data ends up scattered across a lab portal, a wearable app, intake forms, a spreadsheet, and a half-dozen other places — none of them talking, each its own login and its own audit trail, and every join a place where context drops. Pathmarker pulls the data and program tracking into one record. Your EMR, scheduling and billing keep doing what they do — Pathmarker unifies the data and the program around them.
We are taking on five founding clinics this year.
One is filled. Four remain.
Ninety days. Four checkpoints.
You decide whether to renew.
Discovery + provisioning
Workflow audit with your lead clinician. Your own Pathmarker environment set up on your domain. DPA, consent, PIA template, and audit-log scaffolding signed off.
Core staff onboarded
Clinicians, coaches, practice lead, and ops staff onboarded by role. Lab parsing live. Wearable connections established. Your first members invited.
AI in routine use
AI lab review running on every new panel. Your clinicians are working the queue and updating care plans without thinking about it. Calendar sync stable. Telehealth + scribe in routine use.
Pilot review
Clinician hours reclaimed, patient NPS, AI-draft accept rate, support load — all measured. You decide whether to convert. We earn the renewal or step away.
Your clinic gets its own separate environment — your data, your domain, your compliance position. Nothing shared with another clinic.