Industry Solutions

Healthcare patient experience

Time-to-care is the KPI.

Health systems face patient access bottlenecks, referral leakage, and burnt-out staff. We design HIPAA-compliant AI patterns that route patients to the right care faster — while protecting PHI at every hop.

Typical outcomes
Healthcare engagements
40%
Access workload reduction
14→3 days
New-patient wait
100%
PHI redaction
8 langs
Voice + chat
Where it hurts

Healthcare-specific challenges

The pain points we hear most from healthcare leaders — and the regulatory context that shapes every decision.

Patient access bottlenecks

New-patient scheduling waits of weeks drive referral leakage and revenue loss.

Referral & authorization delays

Manual back-and-forth between clinics, payers, and specialty groups slows care.

PHI in every conversation

Any AI touching call audio or transcripts must meet HIPAA, HITECH, and BAA requirements.

Clinical staff burnout

Nurses and MAs pulled into phone triage instead of patient care.

Payer & regulatory audits

Documentation of decisioning logic must survive OIG and state DOI review.

Multilingual patient populations

Language access is a CMS requirement, not a nice-to-have.

Compliance & regulatory context
HIPAA & HITECHBAAs with all subprocessorsHITRUST CSFSOC 2 Type IICMS language accessState DOI requirements
Our approach

Solutions tailored to healthcare

KPI-first, vendor-neutral, and built to survive audit — not just the pilot.

01

Patient access KPI baseline

Third-next-available, first-call-resolution, referral-to-appointment latency — measured before tooling.

02

HIPAA-safe AI architecture

Reference patterns for PHI redaction, BAA-covered LLM inference, and audit logging.

03

Triage & scheduling automation

Symptom triage, self-scheduling, and referral coordination with clinical guardrails.

04

Clinician-in-the-loop adoption

Change management designed around nursing workflows, not just contact center ops.

Case in point

Regional health system — 12 hospitals

A multi-hospital system had 21-day new-patient waits and a 34% referral leakage rate. We audited patient-access KPIs, selected a HIPAA-compliant voice AI vendor, and rebuilt the scheduling intent tree with clinical input.

40%
Scheduling automation
21→4 days
New-patient wait
18pt
Leakage reduction

For once, an advisor spoke both HIPAA and revenue cycle. Our nurses got their afternoons back and our access metrics finally moved.

VP Patient Access, Regional Health System

Composite example based on typical engagements. Details anonymized.

Every engagement begins with a KPI baseline, not a product demo.

Ready to design for healthcare KPIs?

A 45-minute session with a senior advisor. No sales pitch — just your metrics, your constraints, and where AI actually fits.