You have the staff, the data, and the clinical programs. The gap is execution at the scale of a health system attribution — post-discharge follow-up that misses the highest-risk patients, after-hours calls that default to the ED, HCC documentation that closes short of year-end targets, and prior auth backlogs that delay care for patients already scheduled.
Request a DemoHealth systems managing large attributed populations face the same structural problem across every care management program: the analytics layer identifies who needs attention. The execution infrastructure cannot keep up with the volume of acting on it.
CMS requires contact within 24–48 hours and a follow-up visit within 7–14 days for TCM billing. At health system scale, manual outreach consistently misses a significant share of eligible patients — often the highest-risk ones, the most likely to return to the ED.
Patients calling after hours frequently reach voicemail or answering services that cannot triage clinically. Non-urgent ED visits increase. On-call physicians field routine calls. HCAHPS scores reflect the access gap, and shared savings take the hit.
Analytics identify every underdocumented condition and quality measure gap. Closing them before year-end requires outreach, scheduling, visit completion, and documentation alignment that coordinator capacity cannot sustain at health system ACO scale.
High-volume specialty services — orthopedics, cardiology, oncology, imaging — process thousands of prior authorizations monthly. Manual submission, tracking, and denial management consumes significant administrative FTE and delays care for patients already in the system.
Zynix AI is an execution layer that sits between your care management programs and your patient population. It carries the contact volume, documentation, and coordination work that your team identifies but cannot sustain at health system scale.
Every discharged patient contacted. Every chronic care touchpoint documented. Every quality gap outreach triggered and tracked through to completion. Coordinators receive escalations and exceptions — not a list of calls to make from scratch.
Evidence-based triage handles routine after-hours calls in 15+ languages, schedules next-day access, and surfaces only genuine clinical escalations. Consistent coverage across every site without additional on-call burden.
Gaps prioritized by RAF impact and closure window. Outreach, scheduling, and documentation alignment run in sequence. The platform tracks completion, not just identification — so year-end performance reflects work that actually got done.
Documentation assembly, prior auth submission, denial routing, fax classification, and referral coordination run without coordinator involvement at every step. Clinical staff spend their time on patients who need a human.
Talk to our team about your health system's care coordination and operational priorities.
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