HealthcareComplex automationSeveral jobs working together: multi-stage pipelines with state, branching on rules or AI decisions, approvals or escalations, 4+ systems, AI agents that act, or reconciliation across sources. Usually rolled out in stages.

Hospital discharge to first home visit in 24 hours

For: Post-acute home care provider

Typical impact

First visit within 24 hours of discharge

Hospital discharge referral packets are parsed the moment they arrive, triggering equipment orders, caregiver assignment by skill and location, and the first-visit booking in one flow. A checklist dashboard shows every open item per patient, and first visits now happen within 24 hours.

Typical results

98%

Equipment ready pre-visit

+40%

Referral capacity, same team

30 min

Intake admin per referral

Figures reflect typical results for this kind of automation.

The challenge

Discharge packets arrived as 30-page PDFs and faxes, and intake staff spent hours retyping diagnoses, medications, and equipment needs. Patients came home to no hospital bed, caregivers arrived without wound-care training the case demanded, and first visits slipped to day four — the exact window when things go wrong at home.

Before and after

Before With the automation

Discharge to first visit

−77%
96 hrs
22 hrs

Intake admin per referral

−83%
3 hrs
0.5 hrs

Equipment in place before first visit

+78%
55%
98%

The automation

We built a parser that reads each discharge packet on arrival — diagnoses, medications, mobility status, equipment needs — and opens a patient file. The flow fires three actions at once: equipment orders go to suppliers with delivery deadlines, a caregiver is matched by skill, language, and location, and the first visit books into her schedule within 24 hours, with WhatsApp confirmation to the family. A checklist dashboard tracks every open item per patient, flagging anything stuck.

How it works

  1. 01

    Packet parsed

    The discharge packet is read on arrival: diagnoses, medications, mobility, equipment needs.

  2. 02

    Equipment ordered

    Bed, oxygen, or wheelchair orders fire to suppliers with delivery deadlines attached.

  3. 03

    Caregiver matched

    The right caregiver is assigned by skill, language, and distance from the patient's home.

  4. 04

    First visit booked

    The visit schedules within 24 hours, with WhatsApp confirmation to the family.

  5. 05

    Checklist to green

    A dashboard tracks every open item per patient until the first visit is done.

Starts from

  • Discharge referral packets
  • Hospital referral inbox

Delivers

  • Equipment orders
  • Caregiver assignment
  • First-visit booking

The impact

First visits now happen within 24 hours of discharge instead of day four, and 98% of patients have their equipment in place before the caregiver knocks. Intake admin fell from three hours per referral to thirty minutes, letting the provider accept 40% more referrals with the same team.

Questions about this automation

What does the parser pull from a hospital discharge packet?

It reads PDF and faxed packets as they arrive and extracts diagnoses, medications, mobility status and equipment needs, such as a hospital bed, oxygen or a wheelchair. Those fields open a patient file automatically, so intake staff review and confirm the details instead of retyping a 30-page packet line by line.

How is a caregiver chosen for each new patient?

The flow compares the care needs in the packet with each caregiver's skills, such as wound care, plus language and distance from the patient's home. The best fit with open time is assigned, and the first visit is booked within 24 hours, with a WhatsApp confirmation sent to the family.

How does the team see what is still open for each patient?

A checklist dashboard lists every patient with the status of equipment orders, caregiver assignment and the first visit. Items that pass their deadline, such as a supplier delivery that has not been confirmed, are flagged so a coordinator can step in. This is a multi-step build, usually rolled out in stages.

Healthcare

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