RTT pathway engine
Encodes pathway-event order, national clock concepts, waiting-time calculations and validation checks in documented rules. Pathway list, pathway practice and PTL extracts all use its outputs.
Platform
A web-based patient-administration environment with a rules-based RTT engine. Learners register fictional patients, record referrals, manage waiting lists and validate pathways, and the engine recalculates clock status, waiting time and breach position as they go.
Practise patient registration, referrals, appointments, waiting lists and pathway validation using synthetic patient records. Use downloadable datasets to connect administrative work with data quality, reporting and analysis.
Create synthetic patient records with generated identifiers, and use the district number to link every later activity.
Record fictional referral information, triage it and assign a specialty and consultant.
Book, part-book and outcome appointments as steps in a simulated patient pathway.
Rules recalculate pathway status, waiting time and breach position as recorded events change.
Use Validate now to find pathway errors, read the explanation and correct the record.
See pathway changes reflected in the patient tracking list, ready for monitoring and validation exercises.
Record diagnostic information and manage the inpatient waiting list alongside outpatient work.
Download CSV snapshots for data-quality checks and reporting in Excel, SQL, Power BI, Python and R.
Will record learner actions, errors and completions as structured evidence of practical work.
Planned
MedX combines guided learning with simulated healthcare administration, data and informatics practice, including RTT pathways and data analysis. Learners practise operational tasks on synthetic records before they ever work with live systems.
Every action feeds the next. A referral recorded in one module affects pathway status, waiting-time calculations, validation results and the PTL extract downstream.
Modules marked v2 describe the current interface. They are separate from the Engine Version 2 release described below, which is still in development.
14 live modules, grouped by stage of the workflow
Deterministic where it matters, synthetic throughout, and delivered in the browser.
Encodes pathway-event order, national clock concepts, waiting-time calculations and validation checks in documented rules. Pathway list, pathway practice and PTL extracts all use its outputs.
Fictional registrations, referrals, appointments, waiting-list entries and pathway events, using recognisable DN- and PD- conventions with no real identifiers. Scenarios are repeatable across cohorts.
Built with React, Next.js, Python, Flask and Node.js, with MongoDB and MySQL for data. Individual learner accounts, remote access UK-wide and no connection to live healthcare systems.
A screen from the live simulator and a concept for the next interface. Fictional data only.
Real types of administrative work, on fictional patients. Each task leaves something a learner can show and explain at interview.
Patient registration · Referral information
Create a fictional patient, record an incoming referral and check that the RTT clock starts on the right date.
Produces A complete patient record with a correctly started pathway
Validate now · Pathway list
Review event order, resolve validation flags and explain the clock position, wait and breach risk.
Produces A validated pathway and a written explanation of the decision
PTL extracts · Excel or SQL
Download the patient tracking list your own work generated, then find duplicates, missing outcomes and date mismatches.
Produces A cleaned dataset with data-quality issues logged
Analytics extension · Power BI or Tableau
Turn synthetic PTL data into a view of waits by specialty and weeks waited, and present what it shows.
Produces A portfolio dashboard and a short presentation
Each release has written requirements, acceptance criteria and regression tests before it reaches learners.
Event-amendment controls across eight gated permission patterns. In development.
Records learner actions, evaluates completion against task rubrics and produces structured evidence for learners and partners. Planned.
Permissioned cohort access, cohort administration and organisation-level progress reporting. Planned.
Cohorts for universities, councils and employers, with outcome reporting.
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