All case studies

Healthcare & Elderly Care

Nursing home management: residents, invoicing and AI shift handovers

Occupancy, outstanding balances and each resident's details on one screen, with AI that flags risks and summarizes shift handovers for the nursing team.

Prototype

See the system in action

From paper notes to resident records and handovers nothing slips through

Occupancy, vacant beds and outstanding balances on one screen
Sample Care Home·OverviewS
Occupancy

42 / 48

6 beds free

Special-care residents

9

3 bedridden

Invoices this month

1,260,000

42 issued

Outstanding

127,000

3 overdue

Residents

101Khun S.Special carePaid
104Khun P.General38,500
203Khun W.GeneralPaid
207Khun B.Bedridden76,000

AI risk alerts

Reads the latest care notes and points out what to follow upRead with AI

Screens from the real product · Sample data · Scroll to see each step

The challenge

  • Resident details, care history and charges were kept in different places
  • Monthly invoices and outstanding balances were tracked in Excel
  • Shift handovers relied on handwritten notes and word of mouth, so details got lost

What we built

Owner dashboard

Occupancy, vacant beds and outstanding balances on one screen

Resident 360°

History, family contacts, care plan and charges for each resident

Invoices & receivables

Issue monthly invoices and track balances by aging

AI risk alerts

Flags residents showing warning signs in care notes for the team to review

AI handover summary

Summarizes key events from the last shift so the next one can catch up in minutes

The new workflow

  1. 1

    Nurses record care during their shift on a tablet or phone

  2. 2

    Before shift change, AI summarizes key events for the next team

  3. 3

    At month end, the system issues invoices from each resident's charges

  4. 4

    The owner checks occupancy and outstanding balances on the dashboard

What changed

  • Each resident's care and financial data lives in one place
  • Handovers are documented in writing, so less gets lost
  • AI points out what to look at, but decisions always stay with the care team

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