Keep patients engaged between visits. NIVA runs post-discharge check-ins and medication-adherence prompts, captures concerning responses, and flags the care team.
Engagement between visits is where outcomes are won or lost, but manual follow-up calls do not scale, so post-discharge instructions and medication adherence slip, driving readmissions.
A care-follow-up persona runs scheduled check-in Flows, captures symptom and adherence responses via Smart Forms, branches concerning answers to a care-team alert via webhook, and uses memory to track each patient's plan over time. Framed as non-clinical support that escalates to humans; deploy on compliant infrastructure.
Real differences your team will feel from day one — not theoretical benchmarks.
| Area | Before NIVA | With NIVA |
|---|---|---|
| Between-visit contact | Manual calls, limited | Automated check-ins |
| Adherence | Slips silently | Prompted and logged |
| Concerning signs | Caught late | Flagged early |
| Care-team load | Manual outreach | Exception-based |
This works in two directions. As a public-facing agent it engages prospects and customers directly on your website or app; as an internal tool it answers staff questions and runs intake against internal systems. The same engines power both, and which direction you deploy depends only on which knowledge sources and systems you connect. Many healthcare operators start public-facing for the traffic and conversion upside, then reuse the same build internally.
In practical terms, the shift looks like this: on between-visit contact, you move from manual calls, limited to automated check-ins; on adherence, you move from slips silently to prompted and logged; on concerning signs, you move from caught late to flagged early; on care-team load, you move from manual outreach to exception-based. Each of these is a direct consequence of moving the interaction from a manual, human-gated channel to an always-available conversational one that still escalates to a person when the situation genuinely needs it.
Implementation reality: the conversational layer, routing, data capture, and system handoff are all within NIVA's documented no-code capabilities. Where this use case reads or writes live data, it assumes the relevant API or webhook endpoint exists on your side; that integration is the one piece worth scoping before launch. Because this handles sensitive data, deploy it on compliant infrastructure and keep any regulated decision-making in the connected system of record rather than in the conversation itself.
No developers. No long setup. NIVA gives you every engine shown on this page — persona routing, flow automation, smart forms, and webhooks — as a ready-to-configure platform.