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For patient transport staffing coordinators, hospital workforce planners & transport department managers

Forecast tomorrow's busiest transport hours

Every night, WebRun opens Patient Focused Systems, reviews trip volume by hour over recent weeks for tomorrow's day of week, identifies the likely peak windows, logs the forecast and a recommended porter count per shift to a Google Sheet, and posts your staffing coordinator a Slack heads-up before the next shift is set.

  • No credit card
  • Under $0.01 per run
  • Cancel anytime
14,115 templates Safe automation No code
Every night at 9:00 PM WebRun
1 Patient Focused Systems review historical trip volume by hour
2 Google Sheets log the forecast and staffing recommendation
3 Slack alert the staffing coordinator
Run a sample
In short

How do I forecast peak-hour staffing for hospital patient transport?

WebRun reviews 8 weeks of trip history in Patient Focused Systems each night to forecast tomorrow's peak transport hours by shift. It logs the forecast and a recommended porter count to a Google Sheet, then posts your staffing coordinator a Slack heads-up for any shift that looks light, so schedules get adjusted before a peak hour catches the floor short-staffed.

  • Staffing coordinator sees tomorrow's peak hours before the schedule is finalized
  • Light shifts are flagged automatically against 8 weeks of real history
  • Porter counts are recommended per shift instead of guessed

Built for patient transport staffing coordinators · hospital workforce planners · transport department managers · charge porters

Step by step

What does WebRun do on every run?

The exact actions WebRun takes, in order - in plain language, so you can adjust anything.

  1. WebRun signs in and gets to work

    Opens patientfocussystems.com in a real browser with your saved login - no setup, no API keys.

  2. 1
    Patient Focused Systems - review historical trip volume by hour
    patientfocussystems.com How to Automate Patient Focused Systems
    WebRun in Patient Focused Systems: review historical trip volume by hour
    WebRun opens Patient Focused Systems to review historical trip volume by hour.
    • Open completed trip history for the past 8 weeks on tomorrow's day of week
    • Calculate average trip volume by hour to find the likely peak windows
    • Compare against currently scheduled porter counts per shift

    Done when Tomorrow's likely peak hours are identified with a comparison to current staffing.

  3. 2
    Google Sheets - log the forecast and staffing recommendation
    google.com How to Automate Google Sheets
    WebRun in Google Sheets: log the forecast and staffing recommendation
    WebRun opens Google Sheets to log the forecast and staffing recommendation.
    • Open the Staffing Forecast sheet
    • Append tomorrow's forecast row with predicted peak hours and a recommended porter count per shift
    • Flag any shift where scheduled staffing looks light against the forecast

    Done when Tomorrow's forecast and staffing recommendation are logged, with light shifts flagged.

  4. 3
    Slack - alert the staffing coordinator
    slack.com How to Automate Slack
    WebRun in Slack: alert the staffing coordinator
    WebRun opens Slack to alert the staffing coordinator.
    • Post the forecast to the staffing channel with tomorrow's peak windows
    • Call out any shift flagged as potentially understaffed
    • Link to the full Google Sheet forecast for the coordinator to review

    Done when The staffing coordinator has tomorrow's forecast in Slack before the shift is finalized.

Run settings

How is each run configured?

Starting pageWhere Chrome opens at the start of each run
patientfocussystems.com
ScheduleRuns automatically on this cadence
Every night at 9:00 PM
DeliveryHow each run's result reaches you
Staffing forecast · Slack
OutputWhat each run produces - A logged forecast row with tomorrow's predicted peak hours and recommended porter counts, plus a Slack heads-up for light shifts.
Spreadsheet + digest
Setup & safety

Secure by default

Connect once, stays signed in

WebRun signs in once and keeps each session in a persistent environment, so every run picks up right where it left off.

Your credentials stay in your own private environment - WebRun never stores your passwords.
Strict Lockdown

Every action is checked against this policy before it runs.

Domains ALLOWLIST
Typed input ALLOW
Shell command BLOCK
File uploads BLOCK
Runs in a contained environment More on policies
Good to know

Questions, answered

Does it schedule porters automatically?

No. It logs a forecast and a recommended porter count per shift, the staffing coordinator still makes and confirms the actual schedule.

How far back does it look to build the forecast?

8 weeks of trip history for the matching day of week by default, so a forecast for a Tuesday is built from recent Tuesdays rather than an average across every day.

What happens if a shift is already fully staffed?

It only flags a shift in Slack when scheduled staffing looks light against the forecast, so a fully staffed shift generates no alert at all.

Put this on autopilot.

Turn it on in minutes - or have our team set it up for you.