MediRecords brings AI agents into everyday clinic workflows
Sydney-based MediRecords is rolling out AI agents inside its patient management system to take on routine admin work: patient summaries, clinic inbox management, and more. The latest tool, Evolve Direct, is slated for early 2026 and targets one of the most time-consuming tasks in primary care-handling inbound clinical documents.
Early results from general practice beta sites are promising. Teams report saving up to 120 minutes per day (about 10 hours per week), with document handling steps shrinking from roughly 18 clicks to 3-an 83% reduction in manual actions.
What Evolve Direct does
- Analyzes and classifies inbound clinical files
- Routes documents to the correct provider
- Matches files to the right patient record
- Runs automated virus scanning
- Sends unmatched documents to a holding bay for quick review
For busy practices, that means fewer handoffs, fewer errors, and faster turnaround on results and referrals.
On-the-ground feedback
"Result handling is one of the most inefficient parts of running a general practice," said Dr Max Mollenkopf, GP and owner of Whitebridge Medical Centre. "The system reads the incoming message, extracts the result, and places it directly into the doctor's inbox with the patient details auto-assigned. For us, that's a genuine efficiency gain."
His point is simple: if admin noise drops, staff spend more time with patients and less time clicking through screens.
Part of a broader AI agent strategy
Evolve Direct sits within MediRecords' Evolve AI pipeline, which kicked off with the Evolve Patient Summary earlier this year. Next up: agents that provide intelligent suggestions for data entry, appointment scheduling, and patient recalls-areas that quietly eat staff time and delay care.
Why this matters for healthcare leaders
AI agents are moving from hype to deployment across major EMR/PMS players and startups alike. Industry leaders such as Epic and Oracle Health are investing heavily, while new entrants are building agentic workflows from the ground up. The message for management: get specific about where automation creates measurable value in your environment-and move with a clear plan.
Implementation checklist for practice managers and health system executives
- Define the goal: Pick one use case (e.g., results inbox). Set targets for time saved, turnaround times, and error rates.
- Map the workflow: Document current steps, handoffs, and bottlenecks. Decide what the agent should do vs. what stays human-in-the-loop.
- Integrate cleanly: Confirm compatibility with your PMS/EMR, identity management, and messaging channels. Plan for edge cases.
- Safeguard data: Require PHI minimization, audit logs, role-based access, and clear incident response procedures.
- Validate outputs: Put a review step on day one. Track mismatch rates, unassigned docs, and rework.
- Measure ROI: Baseline staff time per document, clicks per action, and turnaround. Re-measure post-implementation.
- Train your team: Short, targeted training for clinicians and admins. Provide quick-reference guides inside the workflow.
- Lock in governance: Establish approval rules, escalation paths, and KPIs. Review quarterly and tune prompts/policies.
- Negotiate the SLA: Clarify uptime, support, response times, and update cadence with the vendor.
- Pilot, then scale: Start with one location or team, prove the metrics, and expand with a change plan.
What's next
As MediRecords expands its agent lineup-starting with inbox management and patient summaries-expect incremental gains across scheduling, data entry, and recall processes. The winning approach: automate the repetitive steps, keep clinicians in control, and measure what matters.
Upskill your team
If you're planning an AI rollout, invest in targeted training for operations and clinical leads. Explore role-specific options here: AI courses by job.
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