How to handle lab results timing status chat questions fo…

• Documented lab results timing policies: Standard turnaround times (TATs) for each panel, cutoff windows for same-day results, weekend/holiday processing rules, and how you handle rechecks or critical values.
• A way to look up individual status (optional but powerful): Access to your LIS, EHR, or patient portal – Chatref’s custom actions can query it to give a specific update. If you don’t have an API, a custom action can still collect the patient’s reference number and create a task for your team.
• A Chatref AI agent with the knowledge-base, ai-agents, and custom-actions capabilities – all included in every account.
• Clear handoff rules: Which questions should go straight to a staff member (e.g., critical result follow-ups, complaints about waiting time beyond a threshold).

1. Add your lab’s timing information to the knowledge base
   Upload your result turnaround PDFs, internal memos, or plain text documents that describe TATs, cutoffs, and common explanations for delays. The AI agent will answer questions like “How long does a CBC take?” or “Are results processed on weekends?” from this material – no guessing.

2. Create a custom action to check individual status
   Define a custom action that takes a patient identifier (sample number, ID, or full name) as input.

   • If your lab system has a webhook or API, wire the action to fetch the current status and response notes.
   • If you don’t have an API, configure the action to collect the identifier and forward it to your team’s internal task queue or email.
     Test the action from the playground to make sure it returns a usable status message.

3. Train the AI agent to use both sources
   In the agent’s instructions, set the logic:

   • Answer general timing questions from the knowledge base.
   • When a patient asks about their own results (e.g., “Where is my lab report?”), invoke the check_result_status custom action to fetch or log the query.
   • If the action returns a status, relay it; if the result is still pending beyond the typical window, offer to hand off to your team.

4. Test with real phrasing
   Simulate exchanges like “My urine test was this morning – when will I hear?” or “Why are my results delayed?” in the playground. Confirm the answer matches your TATs and the custom action fires correctly.

5. Go live and monitor
   Embed the widget on your patient portal or practice site. Use the conversation inbox to review any handoffs, and check the insights dashboard for the top-trending timing questions so you can adjust your knowledge base.

The knowledge base handles the heavy lifting: every patient gets an instant, accurate answer about turnaround expectations drawn from your own lab’s documents. No more staff reading out the same TAT from a chart.

When a patient needs to check their own status, the AI agent triggers the check_result_status custom action. The action reaches out to your lab system (or logs an internal request), and the agent weaves the response into the chat – e.g., “Your metabolic panel is in final review; expected by tomorrow at 5 PM.” This happens inside the same conversational flow, not as a dead-end link.

If the action returns a delay beyond your defined threshold, or the patient explicitly asks to speak to someone, the agent escalates to your team with the full chat history. Staff pick up with context, knowing exactly what the patient has already been told. Over time, insights surface the timing questions that lead to the most handoffs – you can refine your knowledge base or adjust your custom action to reduce that load.

• Update your knowledge base when processing times change – A new analyzer or changed courier schedule? Add a new document or revise the existing one so the agent stays current.
• Use the custom action to set expectations upfront – If a result is pending, the agent can say “Your CBC typically takes 24 hours from collection. You’ll get a notification when it’s ready,” rather than a generic “check back later.”
• Handle after-hours clearly – Train the agent to mention that samples collected after the 3 PM cutoff aren’t processed until the next business day, and weekends extend TATs. Reduce frustration before it starts.
• Escalate sensitive cases immediately – Configure your agent to hand off any question containing “critical,” “emergency,” or “my doctor called” to a live staff member without attempting an automated answer.
• Review top questions weekly – The insights panel shows you trending topics. If many patients ask about a particular test delay, you may need to update the knowledge base or investigate the lab workflow.

What causes lab results timing status chat problems for Laboratory Services?

Inconsistent or outdated turnaround information in the knowledge base, a missing connection between the chatbot and your lab’s actual status system, and handling of variable factors – specimen quality, reruns, instrument downtime – without clear fallback language. Patients also get frustrated when the chat doesn’t differentiate between standard processing and their own specific case.

How do I improve lab results timing status chat for Laboratory Services?

Maintain a single source of truth for TATs and update it immediately when workflows change. If your LIS exposes an API, wire a custom action to look up real-time result status; if not, use a custom action to create a staff task so no query falls through the cracks. Regularly review the top questions in Chatref’s insights and adjust your knowledge base and handoff rules so the agent handles the routine and your team handles only the exceptions.