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Case study · Finding the right clinician faster

Every new intake meant checking the same list again.

For every patient, someone had to read the intake, check the current clinician information, compare the options and prepare the Halaxy record.I moved the repeatable checking into the workflow and kept the judgement calls with people.

The repeated work sat between the intake and the next step.

The information existed. The repeatable path did not.

The same checks were being rebuilt for every patient. Routine comparisons and cases needing real judgement were mixed together.

The clinician information existed, but someone still had to compare it for every patient.

Changes in availability were easy to miss.

Preparing the Halaxy record was another separate admin job.

Routine cases and cases needing judgement all landed in the same queue.

From new intake to a clear next step.

The repeatable work moved into one defined path. The workflow organised the information and prepared the next step without taking over the clinical decision.

The decision line

Clinical suitability stayed with people.
Routine rules could narrow and order the options. Anything unclear, sensitive or genuinely clinical still went to the team.
Seven practical factorsHuman decision kept

The intake matching path

Three passes. One clear next step.

Repeatable checks only
Pass 01

Bring every intake into one place

Whether a patient submits it online or a staff member enters it, every intake starts in the same clear format.
Pass 02

Check the current clinician list

The routine rules narrow the options, then seven practical factors help put the strongest possible matches first.
Pass 03

Prepare the next step

The patient record and intake notes are prepared in Halaxy, then the right team member is told what needs to happen next.

Prepared for the team

The Halaxy record and strongest options were ready for human review.

Where people step in

The routine checks can run automatically.The decision stays human.

The workflow compares the information, prepares the record and shows the team what needs attention. It does not decide whether a clinician is clinically suitable for a patient.

Handled automatically

  • Put every intake into the same format
  • Run the routine clinician checks
  • Prepare the Halaxy record
  • Tell the team what happens next

Needs a person

  • Anything unclear or sensitive
  • Complex or incomplete cases
  • Clinical suitability
  • The final decision

What changed

01
Every intake starts the same way. Online and staff-entered intakes follow one clear process.
02
The routine comparison happens automatically. The current clinician list is checked instead of someone rebuilding the comparison each time.
03
Halaxy is ready for the next step. The patient record and intake notes are prepared as part of the same job.
04
Only the right cases ask for attention. The team can see which intakes need review, priority or follow-up.

A good automation knows when not to decide.

The workflow removes the repeated searching, comparison and record preparation that sat between an intake and the next step.

The useful result is not an automated clinical decision. It is a prepared, ranked and visible next step the team can review.

01

Put the Data in Order

Clean up the information and make it usable before building anything on top of it.

02

Make Your Systems Work

Work out why the software is getting in the way and make it support the real job.

03

Build What’s Missing

Create the missing connection or tool when the standard options can't do the job.

04

Make the Change Stick

Check the result, deal with problems and leave people with a setup they can use.

Another project

Turned Emailed Referrals Into Halaxy Records

The referral is read, recorded and filed. Unclear cases go to the team.

View project

Repeating the same comparison for every intake?

I can separate the repeatable checks from the decisions that still need a person.

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