Use Cases

Built for the four chronic conditions that drive 80% of VBC penalties

Each disease population has distinct outreach timing, refill patterns, and intervention channels. Generic engagement tools miss this. Patientrig has a separate risk model for each.

Type 2 Diabetes

Metformin non-adherence drifts slowly. The HbA1c won't show it for 90 days.

The challenge with Type 2 diabetes outreach is the lag between the care gap and the visible consequence. A patient stops picking up their Metformin in month 3 of a medication change, but their next HbA1c isn't until month 6. By then, the drift has already happened.

Patientrig watches the refill sequence, not the lab result. When the fill interval starts lengthening — the patient who used to refill on day 27 is now waiting until day 38 — that's the signal. An automated SMS reaches them before the 90-day lab shows the problem.

~31%
Reduction in Metformin refill gaps among enrolled diabetic patients in first 90 days
Rx fill interval tracking — flags before gap opens
Appointment sequence analysis for diabetologist follow-ups
SMS preferred for younger T2D populations — high response rate
Diabetes refill gap pattern
Refill on day 27Normal
Refill on day 33Watch
Refill on day 41Intervene
No refill — gap openCritical
Patientrig intervenes at day 33–38 — before the HbA1c lag catches up
CHF readmission timeline
Day 0
Discharge from hospital. ACE inhibitor prescription filled.
Day 12
Refill due. No pickup logged by pharmacy feed.
Day 13
Patientrig fires SMS + pharmacy alert. Refill gap detected.
Day 18
Without intervention: typical refill gap closes here — or doesn't.
Day 29
Without intervention: readmission trigger window opens.
Congestive Heart Failure

The ACE inhibitor refill gap opens on day 12–18. Nobody knows until day 29.

CHF readmission rates are tracked obsessively. But the pharmacy refill gap that predicts that readmission — the ACE inhibitor or beta-blocker not picked up 12–18 days after discharge — isn't tracked by anyone. The care team finds out when the patient presents at the ED.

For CHF, the pharmacy alert channel is the most effective intervention. Half of CHF patients with refill gaps respond to a pharmacist-initiated follow-up at pickup — not to a nurse call, not to a patient SMS. Patientrig knows this and routes the alert accordingly.

~40%
Of CHF refill gaps closed by pharmacy alert before the 30-day readmission window
Post-discharge pharmacy refill monitoring (ACE inhibitors, beta-blockers, diuretics)
Pharmacy alert fires parallel to SMS — highest response rate for CHF population
30-day and 90-day readmission risk windows tracked per patient
COPD

COPD exacerbations spike seasonally. The pattern is predictable 8 weeks before winter admission.

COPD exacerbation risk is the most seasonal of the four chronic conditions. Patients who miss their pulmonology follow-up in October have approximately twice the winter admission rate of those who don't. The pattern holds across five years of claims data and is predictable from appointment history alone.

The intervention for COPD is earlier than for CHF or diabetes — ideally in September and October, not when the exacerbation is starting. Patientrig flags COPD patients for late-summer outreach based on the prior year's follow-up pattern, not just the current gap.

8 weeks
Average lead time on COPD intervention — before the seasonal exacerbation window opens
Seasonal exacerbation risk modeling using prior year appointment patterns
Pulmonology follow-up gap detection with proactive reminder sequence
Rescue inhaler refill monitoring (Albuterol usage patterns as exacerbation signal)
COPD seasonal risk pattern
Jul
Low
Aug
Low
Sep
Intervene
Oct
Intervene
Nov
High
Dec
Peak
Sept–Oct outreach reduces Dec–Jan admissions by addressing follow-up gaps proactively
BP reporting silence pattern
Patient: R. Chen — Hypertension
Watch
Oct 3
128/82 reported
Oct 17
131/84 reported
Nov 1
No reading
Nov 15
No reading
Dec 1
60-day silence — flag
Patientrig intervention triggered
60-day BP reporting silence detected. SMS reminder + care coordinator queue.
Hypertension

HEDIS BP control is binary. The 60-day silence window is where care falls apart.

HEDIS BP control measures track whether a patient's blood pressure is controlled at the point of measurement. What they don't track is the patient who stops reporting readings for 60 days — not because their BP is fine, but because they've disengaged from monitoring entirely.

Patientrig tracks the reporting pattern, not just the reading. When a hypertension patient who has been reporting consistently goes silent for 45–60 days, that's the intervention window. An SMS reminder re-establishes the monitoring habit before the annual measurement point captures the deterioration.

60 days
The average reporting silence window before Patientrig intervenes — catching disengagement early
BP reporting cadence monitoring — flags silence, not just bad readings
Antihypertensive refill tracking (especially for combination therapy non-adherence)
HEDIS BP control measure pre-population for annual reporting

What health systems see in the first 90 days

Early outcomes from Patientrig pilots. These reflect actual care coordinator activity, refill closure events, and appointment completion data — not modeled projections.

~23%
Reduction in no-show appointments
Across all four chronic disease populations, proactive SMS outreach before scheduled visits reduces no-show rate significantly.
3x
More patients reached per care coordinator per week
When the risk queue is ranked and SMS outreach is automated, coordinators stop spending Monday mornings running EHR reports and start spending that time on the patients who actually need a call.
4 weeks
To first live risk queue from EHR connection
Read-only EHR connection means no workflow changes and no documentation burden on the care team. Day 0 to live risk queue in 4 weeks is the standard implementation path.

Which chronic populations are driving your VBC penalties?

Tell us your disease cohort in the demo request — we'll model your specific population and show you what the risk queue would look like.

Request a demo