Incoming call
Receive new referral calls from care managers, hospitals, and regional liaison teams.
SHISHI Series AI agent for home-visit nursing, medical, and care services
“Do you have availability?” Hard to answer on the spot.
AI answers new referral calls from care managers and hospitals in natural conversation, checks shifts and visit schedules, and shares intake availability and possible dates on the spot.
- AI answers new referral calls and captures the details needed for intake decisions
- References shifts and visit schedules to propose available dates on the spot
- Headquarters can see call content, inquiry trends, and coordination workload across all sites
Discuss your current phone workflow Book a free consultation
See how it works and what rollout looks like View service materials
Reduce availability checks and shift coordination — answer new referrals on the spot AI captures the details, proposes dates, and leaves a record for your team
SHISHI REFERRAL CALL
Referral Call
Answer, assess, and record every new-referral call.
AI answers new-referral calls from care managers and hospitals and collects the information needed for acceptance decisions. It records each interaction and makes inquiry trends visible across locations.
- AI answers new-referral calls
- Collect preferred start date, service area, and other required details
- Visualize interactions and inquiry trends
Keep your current workflow.
Use SHISHI without learning a new tool.
Send requests through the chat tools you already use, such as LINE WORKS or Teams. Share photos, voice notes and existing documents, and SHISHI works with experts to complete the task.- Request work from familiar chat tools
- Share photos, voice notes and existing documents
- Use only the tasks you need, one at a time
Answer, judge, and record each new referral call
The workflow is designed from incoming call to dashboard reflection so field operations continue while headquarters gets data for improvement.
AI answers and collects details
AI confirms patient condition, desired start timing, area, and insurance type in natural conversation.
Check shifts and answer dates
AI checks availability and answers possible dates on the spot.
Record, notify, and reflect on dashboard
The response is recorded and relevant staff are notified. Inquiry trends and missed opportunities become visible to headquarters.
Start by understanding how many referrals were lost during callbacks.
Based on your current call workflow, number of sites, and call volume, we organize what AI can take over.
What AI Referral Call can do
From call response to available-date answers and business data. It moves referral phone work from local dependency to headquarters-visible improvement.
Answer available dates on the spot
AI checks shift availability in real time and answers intake availability and available dates on the spot, eliminating the delay of “we will check and call back” and moving referrals closer to confirmation.
Automatic response in natural conversation
AI responds to new referral calls from care managers and hospitals, collecting the information needed for intake decisions such as patient condition, insurance type, desired start timing, and area. It also covers visits and after-hours.
Manage new referrals with data
Call content, inquiry trends, acceptance rate, and missed opportunities are visualized on dashboards, turning phone work into cross-location management data.
Pricing
We propose the right plan based on number of sites, call volume, and integration scope. First, please share your current call workflow.How it differs from other call-handling options
AI Referral Call is specialized for home-visit nursing, medical, and care service referral calls, including immediate answers and visibility.
| Comparison point | AI Referral Call | Human staff | Human call agency |
|---|---|---|---|
| Home-visit nursing, medical, and care specialization | Understands domain and workflow | Training required | Depends on operator quality |
| Immediate availability answer | Answers via shift connection | Impossible if the person is absent | Callback only |
| 24-hour coverage | Supported | Not supported | Depends on plan |
| Missed-opportunity visibility | Standard dashboard | Often unrecorded | Report-based |
| Multi-site standardization | Same quality across sites | Depends on each site | Contract by site |
How many referrals are lost while you “check and call back”?
New referrals are won by response speed after the call is received. AI Referral Call turns hard-to-see phone operations into cross-location business data.
You cannot answer on the spot
Even when the call is received, staff cannot respond without checking shifts and visit schedules. Referral sources often contact multiple providers at once, and by the callback the referral may already be elsewhere.
Intake coordination is heavy and delays answers
Reworking shifts and visit schedules to create availability is a heavy burden for managers. Until coordination is complete, even valuable referrals wait for a response.
Missed opportunities are not recorded
How many calls came in, how many could not be answered immediately, and why were they declined? Headquarters cannot see the reality of new referrals at each site.
AI Referral Call addresses all three at once.
Implementation Cases
Examples from stations using the service: multi-site standardization, lighter manager workload, and visibility into new referrals.
CASE 01
Multi-site operator A
Headquarters now tracks new referral calls across all sites, surfacing inconsistencies in intake decisions and aligning response quality between locations.- Scale
- Approx. 120 staff
- Sites
- 12 sites
- Area
- Greater Tokyo
CASE 02
Urban station B
AI now handles first response for calls that used to pile up on managers during visits, cutting callback workload so managers can focus on care.- Scale
- Approx. 40 staff
- Sites
- 3 sites
- Area
- Tokyo
CASE 03
Home medical care partner C
Discharge coordination calls from hospital liaison offices are organized, and available dates are now returned the same day.- Scale
- Approx. 60 staff
- Sites
- 5 sites
- Area
- Kansai
FAQ
Common questions before introduction.
What types of calls can it handle?
It mainly handles new referral calls from care managers, doctors, and hospital liaison teams. The scope for non-referral calls is designed during implementation.
How is shift information connected?
We review the current shift management method and design the reference method and update frequency.
What happens when AI cannot answer or judge?
Conditions that AI should not decide alone are configured in advance and escalated to staff.
Can we keep our existing phone number?
We review the current phone environment and propose the best setup, including forwarding where appropriate.
Can it be introduced across multiple sites?
Yes. For multi-site operators, we design visibility into call status and inquiry trends by site for headquarters.
How are personal and medical information handled?
We design with security measures such as encrypted communication and access control, prioritizing protection of medical and care information.
Materials and consultation