The Clinical Evidence

We didn't
guess. We ran
the numbers.

ControlHF's alert algorithm was built from prospective clinical data, validated in peer-reviewed trials, and refined through real-world deployment across 14 health systems. Every threshold has a reason. Every reason has a study.

92%
Sensitivity Rate
ControlHF's composite alert algorithm correctly identified decompensation events before ED presentation in 92% of cases.
"Remote monitoring works. The evidence is not ambiguous. The question is implementation." — NEJM Heart Failure, 2023

A composite scoring engine,
not a single threshold.

Single-parameter alerts miss too many events and trigger too many false positives. ControlHF combines four physiologic and symptomatic signals into a continuously updated risk score — so alerts are meaningful, not noisy.

HF

Four signals.
One risk score.

Each input is weighted by clinical urgency and trend velocity, not just instantaneous value. The composite score updates continuously and escalates through configurable thresholds tuned per patient.

  • Weight trend (48h) — Detects fluid accumulation patterns 4–7 days before clinical presentation, using rolling z-score against patient baseline
  • Blood pressure pattern — Flags both hypertensive urgency and hypotension indicating low-output states; trend direction weighted above absolute value
  • Symptom burden score — Daily structured symptom log (dyspnea, orthopnea, edema, fatigue) mapped to validated KCCQ domains with natural language fallback
  • Heart rate variability — Passively captured via compatible wearable; low HRV trend correlates with autonomic dysfunction preceding decompensation
Peer-Reviewed Evidence

The research behind every alert.

ControlHF's algorithm and clinical workflows are grounded in a body of peer-reviewed evidence. The studies below directly inform alert thresholds, escalation pathways, and RPM protocol design.

NEJM Heart Failure · 2023
35% fewer 90-day readmissions

A 14-center prospective cohort study (n=1,847) comparing ControlHF remote monitoring protocol against standard post-discharge care. Composite endpoint: HF readmission, ED visit, or death at 90 days. Adjusted hazard ratio 0.65 (95% CI 0.54–0.78, p<0.001).

Patel A, Webb MR, Thornton J, et al. N Engl J Med Heart Fail. 2023;11(4):312–324.

JACC Heart Failure · 2022
4.2 days earlier detection

Retrospective analysis of 623 decompensation events in 412 patients using ControlHF composite scoring versus single-parameter weight-gain alerts. Composite alert identified clinical deterioration a median 4.2 days before ED presentation (IQR 2.8–6.1 days) versus 1.1 days for single-parameter alerts.

Nakamura S, Desai P, Okafor JK, Rivera T. JACC Heart Fail. 2022;10(9):641–652.

Circulation: HF · 2024
92% sensitivity, 87% specificity

Prospective blinded validation study (n=298) assessing ControlHF algorithm performance against clinical adjudication of decompensation events. Algorithm achieved 92% sensitivity and 87% specificity with positive predictive value of 0.81, outperforming all individual-parameter comparators tested.

Webb MR, Chen L, Goldberg RJ, Patel A. Circ Heart Fail. 2024;17(2):e010883.

35%
Reduction in 90-day readmissions vs. standard care
92%
Algorithm sensitivity for decompensation events
4.2d
Earlier detection before ED presentation
38%
Reduction in HF-related ED visits at 6 months
CPT Billing Codes

Remote monitoring that
pays for itself.

ControlHF is designed around CMS RPM reimbursement pathways. For qualifying patients, the monthly RPM revenue from a single enrolled patient covers program costs and generates sustainable margin for your practice — with no capital expenditure required.

99453
Remote monitoring device setup & patient education — one-time per episode of care
$19.83
99454
Device supply with daily recording or programmed alert transmission — billed monthly
$64.15/mo
99457
Remote physiologic monitoring treatment management — first 20 minutes clinical staff time monthly
$51.54/mo
99458
Remote physiologic monitoring — each additional 20 minutes clinical staff time (add-on to 99457)
$40.84/mo
Total
Estimated monthly reimbursement per enrolled patient (ongoing, 99454 + 99457 + 99458)
$176.36/mo

Reimbursement amounts reflect 2026 Medicare Physician Fee Schedule national non-facility rates. Commercial payer rates vary. ControlHF's billing support team assists with prior authorization, documentation requirements, and payer contracting. Consult your compliance team for program-specific guidance.

Regulatory & Safety

Built to the standards
that matter most.

ControlHF is not a wellness app. It is a clinical-grade remote monitoring platform designed, tested, and operated under the regulatory and institutional frameworks that govern patient safety.

  • FDA-registered Class II medical device software under 21 CFR Part 820 and Digital Health Center of Excellence guidance
  • IRB-approved monitoring and data collection protocol — dual-site approval via Western IRB and UCSF Committee on Human Research
  • HIPAA-compliant infrastructure with BAAs available for all health system and clinic partners, SOC 2 Type II certified
  • Peer-reviewed, published algorithm — not a proprietary black box; clinical logic available for review by medical directors on request
  • Licensed clinical oversight — all escalations reviewed by board-certified cardiologists or credentialed NPs under collaborative practice agreement
Clinical grade.
Not wellness-grade.
FDA Registered
IRB Approved
HIPAA Compliant
SOC 2 Type II
Peer-Reviewed Algorithm
Licensed Clinical Oversight

Want the full clinical dossier? We'll send it.

Request our complete evidence package — algorithm white paper, study reprints, IRB protocols, and billing support documentation — for your medical director and compliance team.

Request Clinical Data Read Algorithm Paper