Using custom actions to improve cpap mask fit troubleshoo…

For Sleep Clinics, intake for CPAP mask fit troubleshooting often runs through phone tag. Patients call about leaks, pressure discomfort, or skin irritation. Front-desk staff play middleman, trying to pull meaningful details from people who may not know the technical terms. Incomplete intakes bounce between shifts and clinicians, delaying care and burning staff hours on data gathering rather than clinical decisions.

Custom actions turn that loose conversation into a structured intake. The chat asks the same questions your best clinician would ask – mask type, pressure setting, where and when the leak happens – and captures the answers in a single handoff to your team. Because the intake is consistent, clinicians can prioritise without re-interviewing every patient.

You upload practice-specific content first: your mask-fitting protocols, patient guides, troubleshooting flowcharts. Chatref grounds its answers in those documents so the conversation stays accurate, not generic.

The custom action is a sequence of questions you define. When a patient starts a chat about mask fit, the agent can offer a tool to “start a fit troubleshooting intake.” After consent, it asks for mask model, current pressure, fit type (nasal, full-face, etc.), and a description of the issue – each answer stored in the chat context. The agent can dynamically adjust follow-ups based on responses (for example, if “leak” is mentioned, it asks about sleep position and mask adjustment attempts). Once complete, the entire thread – questions, answers, and any agent-generated notes – lands in your team’s shared inbox with a clear summary. Your staff see the full history and can step in exactly where the chat left off.

The grounding matters: if a patient asks whether a nasal cushion should be replaced after six months, the agent answers from your own replacement policy, not a generic manufacturer suggestion.

Start by adding your source material. In Chatref, go to your workspace and upload PDFs or point it at your website pages covering mask fitting, common issues, and escalation criteria. Train the agent; it’s ready in minutes.

Then create the custom action:

1. In the agent settings, add a new custom action and name it “CPAP Mask Fit Troubleshooting Intake.”
2. Define the fields. Start with the critical ones: Mask Model, Current Pressure (cmH2O), Mask Type (nasal, full-face, nasal pillows, etc.), Primary Issue (leak, discomfort, skin irritation, noise), and Description. Add a conditional field for leak: if leak is selected, ask Leak Location and When It Happens.
3. Set the trigger. You can make this action available at any point the agent detects mask-fit keywords, or let patients invoke it with a button when they ask for help.
4. Configure the handoff. In the same area, set a rule: if the intake mentions “significant leak with no relief after adjustment,” or if the patient requests to speak to a person, the conversation escalates to the shared inbox and tags it “mask fit – escalate.” Include intake data as a structured note so the clinician sees it above the chat.

Publish the agent. Now every mask-fit chat automatically offers a structured intake – no front-desk routing required.

Once intakes start flowing, use Chatref insights to spot patterns. You might see that 40% of fits involve leaks with full-face masks after three months, which tells you to update your patient education or schedule proactive refits. Tag intakes by resolution path (closed by agent, escalated, resolved after one message) and fine-tune your action to skip questions that rarely lead to changes in care.

Custom actions can also trigger tasks in your practice management or EHR system. While the agent handles the intake, it can create a follow-up task for a clinician if a replacement mask is needed, or add a note to the patient’s record that a remote fit check was completed. You keep one system of record without manual entry.

For multilingual patients, the same custom action runs in up to 11 languages – patients answer in their preferred language, and your team reviews the intake in English. This removes translation lag from the intake step entirely, so language never delays care.

What causes cpap mask fit troubleshooting intake problems for Sleep Clinics?

Most intake problems come from unstructured information. Patients call or email with incomplete descriptions (“my mask hurts at night”), and staff must schedule a call-back or visit to collect the right details. When intake is verbal, details get lost in handoff, intake forms pile up, and clinicians repeat questions that should have been resolved at first contact. After-hours and weekend requests stack up, delaying care for days.

How do I improve cpap mask fit troubleshooting intake for Sleep Clinics?

Structure the intake so it collects the necessary technical details at the first touchpoint, even outside business hours. A chat-based custom action that asks the same questions every time removes variability and gives your team a complete summary before they open the record. Combine that with a shared inbox that escalates only the cases that genuinely need a clinician – those with complex symptoms or treatment change risks – so your team focuses on care, not administrative data gathering.